The Information Machine

Google DeepMind AI Co-Clinician Launch · history

Version 5

2026-05-01 20:44 UTC · 164 items

Narrative

The Google DeepMind AI co-clinician story has entered a third phase defined by three concurrent developments: the emergence of OpenEvidence as a demonstrably scaled competitor, the crystallization of a concrete EU regulatory compliance deadline, and the publication of MedGemma 1.5's technical report providing the first public documentation of the foundation model underlying Google's medical AI work. The most consequential new data point is a March 10, 2026 OpenEvidence LinkedIn post announcing that AI had collaborated with physicians in one million clinical consultations within 24 hours.[1] This single milestone transforms the 'product war' framing from a commentator speculation into a market fact: at least one named competitor is already operating at clinical scale while DeepMind's co-clinician remains in the research-to-trial transition phase. Separately, Abridge — primarily an AI medical scribe platform — has announced partnerships with NEJM and JAMA for AI clinical decision-making,[2] signaling that scribe-segment incumbents are expanding into diagnostic support territory. JAMA itself framed 2026 as potentially 'the year of real-world evidence that AI can actually improve patient outcomes,'[3] positioning the journal as an institutional arbiter of the evidentiary threshold clinical AI must cross — a threshold that is now being contested simultaneously by DeepMind, OpenEvidence, Abridge, Amazon, and Epic.

On the technical substrate: the MedGemma 1.5 technical report appearing on arXiv[4] provides the first public documentation of the foundation model architecture underlying the co-clinician initiative, filling a gap that had left external researchers unable to independently evaluate the system's architectural foundations. The AMA has now reported that more than 80% of physicians use AI professionally,[5] updating the 'doubled from 2023 to 2026' figure cited in prior synthesis and establishing that physician AI adoption is now a mainstream professional practice rather than an early-adopter phenomenon — an important context for understanding both the receptivity to and the stakes of the co-clinician deployment.

The regulatory picture has sharpened simultaneously in two directions. On the US side, the FDA finalized recommendations in December 2024 simplifying the approval process for AI-enabled medical devices,[6] and a regulatory roadmap for AI in clinical decision-making identifies a forming path toward regulatory clarity.[7] On the EU side, an August 2026 compliance deadline for medtech companies under the EU AI Act has been specifically documented,[8][9] creating a concrete near-term forcing function for any AI system seeking EU market access. Google has still not publicly addressed compliance obligations for the co-clinician in either jurisdiction. Harvard's Petrie-Flom Center adds a further academic legal voice arguing that AI and big data are 'redefining' informed consent rules in ways that existing frameworks have not yet accommodated,[10] reinforcing the consent tension already documented from Stanford Law.

A structural market bifurcation is now visible in the new items: a mature, distinct AI medical scribe market — AWS HealthScribe, Nuance DAX, Abridge, Freed, DeepCura — is heavily documented in comparison articles[11][12][13][14][15][16] that represent how clinicians and health IT professionals currently search for 'AI in clinical settings.' This market is primarily about documentation assistance, not diagnosis or consultation. DeepMind's co-clinician targets a categorically different use case, but the dominance of scribe AI in search results and clinical discourse suggests a significant category-education challenge: the co-clinician must establish a new mental model for clinical AI rather than slotting into an existing market expectation.

Timeline

  • 2024-02: Hindustan Times reports Google DeepMind is working on an AI model to help diagnose patients, providing early public evidence the co-clinician initiative was in development at least two years before announcement. [89]
  • 2024-12-05: FDA finalizes recommendations simplifying the approval process for AI-enabled medical devices, providing a forming regulatory pathway for clinical AI systems in the US. [6]
  • 2025-04-11: Harvard Petrie-Flom Center publishes analysis arguing AI and big data are redefining informed consent rules in ways existing frameworks have not yet accommodated. [10]
  • 2026-02-20: Stanford Law School's CodeX publishes analysis arguing that existing healthcare AI disclosure frameworks — including the Mello framework — fail on their own terms when applied to AI in clinical care. [62]
  • 2026-02-27: AMA publishes National Advocacy Update and releases 2026 Physician Survey on Augmented Intelligence showing physician AI use doubled from 2023 to 2026; AMA position: physicians must lead AI tool development. [28][29][30][31][32]
  • 2026-03-10: OpenEvidence announces that AI has collaborated with physicians in one million clinical consultations within 24 hours, establishing OpenEvidence as a named competitor already at clinical scale prior to the DeepMind co-clinician launch. [1]
  • 2026-04-30: Google DeepMind publishes AI co-clinician blog post announcing a research initiative built on a 'triadic care' model, a dual-agent (Planner + Talker) architecture, and benchmark results from 98 primary care scenarios and 140-area consultation skill assessment. [17][26]
  • 2026-04-30: DeepMind VP Research Pushmeet Kohli and health AI leader Alan Karthikesalingam separately publish LinkedIn posts amplifying the initiative; Google Research VP Avinatan Hassidim posts about Google-DeepMind multi-agent healthcare collaboration. [18][19][20][21]
  • 2026-04-30: Simultaneous social media amplification across X/Twitter, LinkedIn, and Reddit; Grok (xAI) publicly comments on demo; discussion spreads to r/whitecoatinvestor and r/OpenAI communities. [75][90][91][92][93][94][95][96][97][98][99][100][101][102][103][104][105][72][106][107]
  • 2026-04: Google announces strategic partnership with Included Health for a nationwide randomized study of AI in virtual care, confirmed by Becker's Hospital Review, a dedicated Google Research blog post, and multiple LinkedIn posts from participants. [22][23][77][25][78][108]
  • 2026-04: Amazon scales health AI assistant to all US customers, directly competing with Microsoft in the clinical AI space; Epic conducts its own randomized trial of a generative AI chart summarization tool, establishing an incumbent EHR-system competitive front. [36][37][33]
  • 2026-04: Abridge announces partnerships with NEJM and JAMA for AI clinical decision-making, expanding from AI scribe into clinical decision support territory targeted by DeepMind's co-clinician. [2]
  • 2026-04: MedGemma 1.5 technical report published on arXiv, providing the first public documentation of the Google medical AI foundation model architecture underlying the co-clinician initiative. [4]
  • 2026-05-01: Social media amplification of the co-clinician goes global and multilingual: posts appear in Japanese, Chinese, Arabic, Portuguese, and Spanish; a commentator frames the initiative as igniting 'a new product war' against OpenEvidence, DoximityGPT, and ChatGPT for Clinicians; physician Vishnu Ravi MD amplifies the co-clinician framing on LinkedIn. [109][110][63][87][67][64][65][68][69][88][66][111][70][76][71]
  • 2026-05: AMA publishes updated survey data showing more than 80% of physicians now use AI professionally, establishing mainstream (not early-adopter) physician AI adoption as the backdrop for the co-clinician's clinical trial phase. [5]
  • 2026-08: (Upcoming) EU AI Act compliance deadline for medtech companies, including AI systems used as safety components in medical devices or direct patient-facing clinical roles — a binding regulatory forcing function for any clinical AI seeking EU market access. [8][9]

Perspectives

Google DeepMind / Google Research

Measured optimism with concrete deployment action: presents AI co-clinician as a research initiative with strong benchmark results, explicitly notes limitations, frames AI as operating under physician authority. The Included Health partnership and MedGemma 1.5 technical report signal active transition from research publication to structured clinical validation and public technical transparency.

Evolution: escalating: MedGemma 1.5 arXiv technical report provides first public documentation of the foundation model architecture; Included Health nationwide randomized trial remains the primary real-world deployment commitment

[17][18][19][20][21][22][23][24][25][26][27][4]

OpenEvidence

Aggressively scaled clinical AI: on March 10, 2026, reported 1 million physician-AI clinical consultations in 24 hours — establishing it as the most scaled named competitor in the diagnostic/consultation AI space that DeepMind is targeting.

Evolution: new data point: previously named as a competitor in commentator framing; now documented with a specific clinical-scale milestone that predates and dwarfs DeepMind's trial-phase deployment

[1]

Abridge

Expanding from scribe to clinical decision support: partnership with NEJM and JAMA for AI clinical decision-making signals that the leading AI scribe platforms are moving into the consultation and decision support territory DeepMind is targeting — competing for institutional medical journal legitimacy.

Evolution: new voice in thread: previously the competitive landscape was framed as Amazon vs Microsoft vs Google; Abridge's NEJM/JAMA partnerships open a fourth front focused on medical journal credibility rather than scale

[2]

JAMA / medical journal establishment

Institutionally engaged with the evidentiary question: JAMA framed 2026 as potentially 'the year of real-world evidence that AI can actually improve patient outcomes,' positioning the journal as arbiter of the clinical validation threshold that all clinical AI — including DeepMind's co-clinician — must cross.

Evolution: new voice in thread: medical journals were background context; Abridge's NEJM/JAMA partnerships and JAMA's own public framing of 2026 as an evidentiary inflection year make journals active participants in defining legitimacy

[2][3]

American Medical Association (AMA)

Institutionally supportive of physician-led AI adoption: updated 2026 survey now documents that more than 80% of physicians use AI professionally — upgrading from 'doubled' adoption to majority-mainstream adoption. AMA's explicit position is that physicians must lead in developing AI tools.

Evolution: updated: 80%+ figure replaces the 'doubled from 2023 to 2026' framing; physician AI adoption is now a majority professional norm, not a growing trend

[28][29][30][31][32][5]

Amazon / Epic (incumbent tech and EHR competitors)

Competing aggressively in clinical AI without framing it as research: Amazon has scaled a health AI assistant to all US customers; Epic is running its own randomized trial of AI chart summarization.

Evolution: consistent: deployments represent a direct market challenge; neither company has publicly responded to the co-clinician announcement

[33][34][35][36][37]

FDA (US regulatory)

Moving toward streamlined AI medical device approval: December 2024 finalization of simplified approval recommendations signals a forming regulatory pathway for clinical AI. The FDA's SaMD and AI-enabled device frameworks remain the applicable regime but have not been applied to conversational diagnostic AI specifically.

Evolution: updated: FDA's finalization of simplified approval recommendations in late 2024 is the most concrete US regulatory development in this thread; previously the US regulatory gap was documented but had no resolution signal

[38][6][7][39][40][41]

EU regulatory and legal analysts (Osborne Clarke, Educo Life Sciences, FPF, DPO Consulting, artificialintelligenceact.eu)

Compliance-focused with a concrete August 2026 deadline: EU AI Act Annex III high-risk classification applies to patient-facing clinical AI; medtech companies must comply before August 2026; conformity assessment is a step-by-step process with no exemption pathway for research-framed systems identified.

Evolution: sharpened: August 2026 compliance deadline is now specifically documented, transforming the EU regulatory tension from an abstract compliance question into a concrete near-term deadline Google has not publicly addressed

[42][43][44][45][46][47][48][49][50][51][52][53][54][55][8][56][9]

Legal and bioethics scholars (Stanford Law CodeX, Harvard Petrie-Flom Center, Authorea, NCBI, Tandfonline)

Critically constructive: Stanford Law argues existing disclosure frameworks fail on their own terms; Harvard Petrie-Flom Center argues AI and big data are redefining informed consent rules in ways existing frameworks have not accommodated; a U.S. national survey documents patient preference for notification and consent without resolving the policy question.

Evolution: expanding: Harvard Petrie-Flom Center joins Stanford Law CodeX in the academic legal critique of AI consent frameworks, deepening the scholarly critique beyond a single institution

[57][58][59][60][61][62][10]

Physician community (individual practitioners, LinkedIn)

Early-adopter enthusiasm, now backed by majority adoption data: physician Vishnu Ravi MD amplified the co-clinician framing; the AMA's 80%+ adoption figure establishes that the individual physician voices engaging publicly are representative of a mainstream professional orientation, not an outlier.

Evolution: reinforced: 80%+ AMA adoption data contextualizes individual physician LinkedIn enthusiasm as representative rather than marginal

[63][64][65][66][5]

Global multilingual social media amplifiers

Broadly enthusiastic; amplify headline benchmark numbers and the 'AI teammate not AI replacement' framing across Japanese, Chinese, Arabic, Portuguese, and Spanish audiences.

Evolution: consistent: global multilingual amplification documented in prior synthesis; no new multilingual developments in current item set

[67][64][65][68][69][70][71][72]

AI medical scribe market (AWS HealthScribe, Nuance DAX, Freed, DeepCura, Clinically AI)

A mature, distinct market for documentation assistance AI is actively compared and evaluated by clinicians and health IT professionals — operating in a separate category from the diagnostic consultation AI that DeepMind is targeting, but dominating the informational landscape when clinicians search for 'AI in clinical settings.'

Evolution: new structural voice: comparison article cluster reveals a bifurcated clinical AI market that the previous synthesis did not map; the scribe market's dominance in search and comparison results represents a category-positioning challenge for the co-clinician

[11][12][73][13][14][74][15][16]

Tensions

  • Benchmark performance vs. real-world clinical safety: the AI co-clinician achieved strong scores in controlled simulations but underperformed physicians specifically in identifying red flags and guiding physical examinations — the safety-critical skills most consequential in actual clinical settings. [17][75][76]
  • Research trial vs. deployed scale: DeepMind's co-clinician is in the research-to-trial transition with the Included Health nationwide randomized study, while OpenEvidence has already documented 1 million physician-AI clinical consultations in a single 24-hour period — creating a scale gap that the randomized trial design cannot close in the near term. [17][77][25][78][1]
  • US vs. EU regulatory gap with a concrete deadline: FDA is moving toward simplified AI medical device approval but has not applied its framework to conversational diagnostic AI; the EU AI Act's August 2026 compliance deadline for medtech companies is now specifically documented, creating a near-term forcing function Google has not publicly addressed for either jurisdiction. [79][80][81][82][83][8][9][6][7][39][40]
  • Patient transparency and consent: triadic care assumes patient awareness of AI involvement, but Stanford Law argues existing disclosure frameworks fail on their own terms, Harvard Petrie-Flom Center argues AI is redefining consent rules in ways frameworks have not yet accommodated, and the EU AI Act's August 2026 deadline adds mandatory transparency obligations for high-risk AI that may independently mandate disclosure. [84][85][86][57][58][59][60][61][62][49][10]
  • Competitive differentiation in a bifurcated market: the clinical AI market is splitting between mature scribe/documentation tools (AWS HealthScribe, Abridge, Nuance) and diagnostic/consultation AI (DeepMind, OpenEvidence) — but Abridge's NEJM/JAMA partnerships suggest the scribe incumbents are expanding into consultation territory, while DeepMind has not articulated what architecturally or clinically distinguishes the co-clinician from either the scribe incumbents or OpenEvidence's scaled consultation platform. [33][34][35][36][37][87][11][12][13][14][15][16][1][2]
  • Physician leadership vs. industry-led AI deployment: the AMA's position that 'physicians must lead in developing AI tools' sits in tension with a model where major tech companies (Google, Amazon, Epic) design the architecture, benchmarks, and deployment partnerships — with 80%+ physician AI adoption now mainstream, the question of who controls the design of these tools becomes more consequential. [28][29][32][17][24][5]
  • 'AI teammate' vs. 'AI doctor' branding: multiple social commentators specifically note and analyze DeepMind's choice of 'co-clinician' over 'AI doctor' or 'diagnostic agent' as a deliberate framing decision — raising the question of whether the naming obscures rather than resolves the autonomy questions at stake, particularly as OpenEvidence's 1M-consultation scale operates without the same framing caution. [64][65][88][66][71][1]
  • 2026 as evidentiary inflection year: JAMA publicly framed 2026 as potentially 'the year of real-world evidence that AI can actually improve patient outcomes' — but the randomized trial evidence needed to answer that question (including DeepMind's Included Health study) is still enrolling, while OpenEvidence's 1M-consultation milestone represents scale without randomized outcome evidence. The question of which kind of evidence — scale or rigor — constitutes proof remains unresolved. [1][2][3][25]

Sources

  1. [1] AI Collaborates with Physicians in 1M Clinical Consultations in 24 Hours | OpenEvidence posted on the topic | LinkedIn — reactive:deepmind-ai-co-clinician
  2. [2] Abridge Partners with NEJM and JAMA for AI Clinical Decision-Making — reactive:deepmind-ai-co-clinician
  3. [3] Will 2026 be the year of real-world evidence that #AI can actually ... — reactive:deepmind-ai-co-clinician
  4. [4] MedGemma 1.5 Technical Report - arXiv — reactive:deepmind-ai-co-clinician
  5. [5] More than 80% of physicians use AI professionally: AMA survey | American Medical Association — reactive:deepmind-ai-co-clinician
  6. [6] FDA finalizes recommendations simplifying approval process for medical devices that use AI | AHA News — reactive:deepmind-ai-co-clinician
  7. [7] Artificial Intelligence in Clinical Decision-Making: Regulatory Roadmap and Reimbursement Strategies | Akin Gump Strauss Hauer & Feld LLP - JDSupra — reactive:deepmind-ai-co-clinician
  8. [8] EU AI Act and Medical Devices: Compliance Guide 2026 — reactive:deepmind-ai-co-clinician
  9. [9] Implementation Timeline | EU Artificial Intelligence Act — reactive:deepmind-ai-co-clinician
  10. [10] Informed Consent, Redefined: How AI and Big Data Are Changing the Rules - Petrie-Flom Center — reactive:deepmind-ai-co-clinician
  11. [11] Compare AWS HealthScribe vs. Clinically AI in 2026 — reactive:deepmind-ai-co-clinician
  12. [12] 2026 AI Medical Scribe Comparison: Top Tools for Clinicians | Twofold Health posted on the topic | LinkedIn — reactive:deepmind-ai-co-clinician
  13. [13] Top AI Medical Scribe Companies in 2026 | Accuracy & Comparison — reactive:deepmind-ai-co-clinician
  14. [14] 15 Best AI Medical Scribes in 2026 (Ranked & Compared) - DeepCura — reactive:deepmind-ai-co-clinician
  15. [15] 9 Best AI Scribes [2026] Comparisons, Benefits, Features, and More — reactive:deepmind-ai-co-clinician
  16. [16] 5 Best AI Medical Scribe Tools for 2026: In-Depth Comparison - Reddit — reactive:deepmind-ai-co-clinician
  17. [17] Enabling a new model for healthcare with AI co-clinician — DeepMind Blog (2026-04-30)
  18. [18] researching the path toward AI-augmented care | Pushmeet Kohli — reactive:deepmind-ai-co-clinician
  19. [19] Google DeepMind AI coscientist system validated by lab experiments | Alan Karthikesalingam MD PhD posted on the topic | LinkedIn — reactive:deepmind-ai-co-clinician
  20. [20] Google Research Collaborates with DeepMind on Multi-Agent ... — reactive:deepmind-ai-co-clinician
  21. [21] Dr. Vivek Natarajan, Research Scientist at Google DeepMind/Health ... — reactive:deepmind-ai-co-clinician
  22. [22] Today, Google is announcing a strategic partnership with Included Health to collaborate on a nationwide randomized study of AI in virtual care. AI systems capable of clinical reasoning and dialogue… | Mike Schäkermann | 19 comments — reactive:deepmind-ai-co-clinician
  23. [23] Google Partnership to Pilot New Offering in Outpatient Care Setting | TechTarget — reactive:deepmind-ai-co-clinician
  24. [24] Enabling physician-centered oversight for AMIE - Google Research — reactive:deepmind-ai-co-clinician
  25. [25] Collaborating on a nationwide randomized study of AI in real-world virtual care — reactive:deepmind-ai-co-clinician
  26. [26] AI co-clinician is our new research initiative to help explore how ... — reactive:deepmind-ai-co-clinician
  27. [27] Health AI — Google AI — reactive:deepmind-ai-co-clinician
  28. [28] AMA: Physicians' use of AI doubled from 2023 to 2026 — reactive:deepmind-ai-co-clinician
  29. [29] [PDF] 2026 Physician Survey on Augmented Intelligence — reactive:deepmind-ai-co-clinician
  30. [30] Feb. 27, 2026: National Advocacy Update — reactive:deepmind-ai-co-clinician
  31. [31] Physician Survey on Augmented Intelligence | American Medical Association — reactive:deepmind-ai-co-clinician
  32. [32] AMA: Physicians must lead in developing AI tools to improve patient ... — reactive:deepmind-ai-co-clinician
  33. [33] Randomized Trial Protocol: Epic Generative AI Chart Summarization Tool to Reduce Ambulatory Provider Cognitive Task Load | medRxiv — reactive:deepmind-ai-co-clinician
  34. [34] Amazon's Healthcare AI vs. Everyone Else: Who Will Own the Doctor's Office in 2026? | AI Magicx Blog | AI Magicx — reactive:deepmind-ai-co-clinician
  35. [35] Epic AI Charting 2026: What Healthcare Providers Need to Know | SOAPNoteAI - SOAP Note Guides and Examples — reactive:deepmind-ai-co-clinician
  36. [36] Amazon makes a new bet on healthcare AI, rivaling Microsoft in the doctor's office – GeekWire — reactive:deepmind-ai-co-clinician
  37. [37] Amazon Scales Health AI Assistant to All US Customers — reactive:deepmind-ai-co-clinician
  38. [38] FDA Approval of Artificial Intelligence and Machine Learning ... - PMC — reactive:deepmind-ai-co-clinician
  39. [39] Artificial Intelligence in Software as a Medical Device - FDA — reactive:deepmind-ai-co-clinician
  40. [40] Artificial Intelligence-Enabled Medical Devices - FDA — reactive:deepmind-ai-co-clinician
  41. [41] Considerations for the Use of Artificial Intelligence - FDA — reactive:deepmind-ai-co-clinician
  42. [42] Journal of Medical Internet Research - AI Act Compliance Within the MyHealth@EU Framework: Tutorial — reactive:deepmind-ai-co-clinician
  43. [43] European Commission consultation shapes high-risk AI classification for life sciences in the EU | Osborne Clarke — reactive:deepmind-ai-co-clinician
  44. [44] Balancing Innovation and Control: The European Union AI Act ... — reactive:deepmind-ai-co-clinician
  45. [45] The EU AI Act & Pharma: Compliance Guide + Flowchart | IntuitionLabs — reactive:deepmind-ai-co-clinician
  46. [46] EU Commission Consultation on High-Risk AI Systems — reactive:deepmind-ai-co-clinician
  47. [47] AI in Clinical Trials & Compliance with the EU AI Act — reactive:deepmind-ai-co-clinician
  48. [48] Artificial Intelligence in healthcare — reactive:deepmind-ai-co-clinician
  49. [49] Article 6: Classification Rules for High-Risk AI Systems | EU Artificial Intelligence Act — reactive:deepmind-ai-co-clinician
  50. [50] Annex III: High-Risk AI Systems Referred to in Article 6(2) - EU AI Act — reactive:deepmind-ai-co-clinician
  51. [51] How the EU AI Act Affects Clinical Trials — reactive:deepmind-ai-co-clinician
  52. [52] EU AI Act Compliance: Annex III Extension Guide 2024 — reactive:deepmind-ai-co-clinician
  53. [53] EU AI Act for Medical Devices: SaMD Compliance ... - MDx CRO — reactive:deepmind-ai-co-clinician
  54. [54] High-Risk AI Systems Under the EU AI Act - DPO Consulting — reactive:deepmind-ai-co-clinician
  55. [55] High-Risk AI Systems: Strict Compliance Obligations You Need to ... — reactive:deepmind-ai-co-clinician
  56. [56] [PDF] Conformity Assessments under the EU AI Act: A step-by step guide — reactive:deepmind-ai-co-clinician
  57. [57] The Emerging Therapeutic Triad: How AI Complicates Informed ... — reactive:deepmind-ai-co-clinician
  58. [58] Artificial intelligence and the law of informed consent - Research Handbook on Health, AI and the Law - NCBI Bookshelf — reactive:deepmind-ai-co-clinician
  59. [59] The use of #AI tools in health care raises questions about patient ... — reactive:deepmind-ai-co-clinician
  60. [60] Patient Consent and The Right to Notice and Explanation of AI ... — reactive:deepmind-ai-co-clinician
  61. [61] Notification and Consent Preferences Based on U.S. National Survey — reactive:deepmind-ai-co-clinician
  62. [62] Consent All the Way Down: What Healthcare AI Disclosure Inherits from Privacy Law - CodeX - Stanford Law School — reactive:deepmind-ai-co-clinician
  63. [63] AI co-clinician: enabling a new model for healthcare | Vishnu Ravi, MD — reactive:deepmind-ai-co-clinician
  64. [64] Google DeepMind isn’t building an AI doctor — it’s giving doctors an AI teammate. — reactive:deepmind-ai-co-clinician (2026-05-01)
  65. [65] Google DeepMind chamou de "co-clinician", não de "AI doctor" ou "diagnostic agent". — reactive:deepmind-ai-co-clinician (2026-05-01)
  66. [66] Google DeepMind's AI co-clinician runs live video with patients, guides physical exams in real time, and defers to physi... — reactive:deepmind-ai-co-clinician (2026-05-01)
  67. [67] Google DeepMind ha desarrollado un 'AI co-clinician' que ha demostrado resultados prometedores en simulaciones de diagnó... — reactive:deepmind-ai-co-clinician (2026-05-01)
  68. [68] 医師の同僚AI、Googleが出した。 — reactive:deepmind-ai-co-clinician (2026-05-01)
  69. [69] أحبائي الأطباء ✋🏻👨🏻‍⚕️👩🏻‍⚕️ — reactive:deepmind-ai-co-clinician (2026-05-01)
  70. [70] ثورة طبية قادمة من مختبرات جوجل! — reactive:deepmind-ai-co-clinician (2026-05-01)
  71. [71] 醫院 AI 不再叫「工具」，改名「聯合醫師」。 — reactive:deepmind-ai-co-clinician (2026-05-01)
  72. [72] 2026年4月30日、Google DeepMindが「AI co-clinician: researching the path toward AI-augmented care」を公開しました。臨床推論や診療判断を補助するAI共同臨床医... — reactive:deepmind-ai-co-clinician (2026-04-30)
  73. [73] Healthcare AI Platforms: AWS vs Microsoft vs Google 2026 — reactive:deepmind-ai-co-clinician
  74. [74] AWS HealthScribe vs. Clinically AI Comparison - SourceForge — reactive:deepmind-ai-co-clinician
  75. [75] Google DeepMind’s real-time video AI doctor is here. — Rohan Paul Twitter (2026-04-30)
  76. [76] 🔴 DeepMind AI co-clinician: 98 blind-eval queries — doctors preferred it. 97/98 zero critical errors. — reactive:deepmind-ai-co-clinician (2026-05-01)
  77. [77] Google to evaluate conversational AI in virtual care — reactive:deepmind-ai-co-clinician
  78. [78] Google Research Partners with Included Health on Nationwide AI ... — reactive:deepmind-ai-co-clinician
  79. [79] Understanding FDA regulations for AI in SaMD | ICON plc — reactive:deepmind-ai-co-clinician
  80. [80] FDA Clearance & Clinical Adoption for AI Diagnostics | Bot Image — reactive:deepmind-ai-co-clinician
  81. [81] AI for Medical Device Regulation (FDA): Accelerating Approval Pathways - PPLE Labs — reactive:deepmind-ai-co-clinician
  82. [82] Demystifying Regulatory Hurdles: How to Navigate FDA Approval for ... — reactive:deepmind-ai-co-clinician
  83. [83] How to Get your AI models FDA approved: AI/ML Regulatory Landscape | Encord — reactive:deepmind-ai-co-clinician
  84. [84] 66% of US doctors now use AI in your care — often without saying ... — reactive:deepmind-ai-co-clinician
  85. [85] When AI is in the room: rethinking the medical conversation | InSight+ — reactive:deepmind-ai-co-clinician
  86. [86] AI is a 'third party' in the consultation room, say experts - BMJ Group — reactive:deepmind-ai-co-clinician
  87. [87] AI co-clinician from DeepMind will start a new product war provoking OpenEvidence, DoximityGPT, ChatGPT for Clinicians, ... — reactive:deepmind-ai-co-clinician (2026-05-01)
  88. [88] Google Deepmind just announced an AI that sits in the exam room with your doctor. — reactive:deepmind-ai-co-clinician (2026-05-01)
  89. [89] AI assistant for doctors? Google DeepMind working on AI model that ... — reactive:deepmind-ai-co-clinician
  90. [90] Google Deepmind launches AI Co-Clinician initiative - Reddit — reactive:deepmind-ai-co-clinician
  91. [91] Wow, this is so cool! Real-time AI doctor, via video, from Google ... — reactive:deepmind-ai-co-clinician
  92. [92] Google DeepMind deklassiert mit dem AI co-clinician GPT-5.4 im Medizin-Benchmark. Ein multimodales KI-Modell für Live-Te... — reactive:deepmind-ai-co-clinician (2026-04-30)
  93. [93] @AudioBooksRU @GoogleDeepMind @harvardmed @StanfordMed You're right—the demo shows the AI co-clinician directly intervie... — reactive:deepmind-ai-co-clinician (2026-04-30)
  94. [94] AI co-clinician: researching the path toward AI-augmented care — Google DeepMind https://t.co/6qXLmCd8Av — reactive:deepmind-ai-co-clinician (2026-04-30)
  95. [95] AI co-clinician: researching the path toward AI-augmented care - Google DeepMind https://t.co/JA2TobQ7jS — reactive:deepmind-ai-co-clinician (2026-04-30)
  96. [96] This AI co-clinician from Google DeepMind aced 97 out of 98 clinical tests — reactive:deepmind-ai-co-clinician (2026-04-30)
  97. [97] Google DeepMindが『AI co-clinician』を発表。マルチモーダルエージェントが医療現場をサポート。医療従事者とAIの協働で課題解決へ。ぼくも注視中。 by トウマ — reactive:deepmind-ai-co-clinician (2026-04-30)
  98. [98] Google DeepMind、医師を支援する AI co-clinician を発表🏥🤖 臨床エビデンス統合で 98 件中 97 件を正確に処理。テレメディシンでは一次医療医と同等のパフォーマンス。WHO が指摘する医療労働者 1000 ... — reactive:deepmind-ai-co-clinician (2026-04-30)
  99. [99] Excited to see DeepMind's AI co‑clinician initiative advancing multimodal support. To deliver value on healthcare teams... — reactive:deepmind-ai-co-clinician (2026-04-30)
  100. [100] NEWS: Google DeepMind announces AI co-clinician for healthcare. — reactive:deepmind-ai-co-clinician (2026-04-30)
  101. [101] Google Deepmind dropped ai co clinician research today — reactive:deepmind-ai-co-clinician (2026-04-30)
  102. [102] Google DeepMind unveils AI co-clinician. — reactive:deepmind-ai-co-clinician (2026-04-30)
  103. [103] NEWS: Google DeepMind launches an AI co-clinician research project to explore how multimodal agents can assist healthcar... — reactive:deepmind-ai-co-clinician (2026-04-30)
  104. [104] Google DeepMind just dropped an AI co-clinician 🤖 — reactive:deepmind-ai-co-clinician (2026-04-30)
  105. [105] Google DeepMind Just Solved a Major Problem with AI Doctors — reactive:deepmind-ai-co-clinician
  106. [106] BREAKING: google deepmind publishes research on an ai co-clinician model for healthcare. https://t.co/8uNF4AewKw — reactive:deepmind-ai-co-clinician (2026-04-30)
  107. [107] Google DeepMind's real-time video AI doctor is here. They just ... — reactive:deepmind-ai-co-clinician
  108. [108] Google Partners with Included Health on Nationwide AI in Virtual ... — reactive:deepmind-ai-co-clinician
  109. [109] Google DeepMind Launches AI Co-Clinician Research Initiative for Healthcare Support — reactive:deepmind-ai-co-clinician
  110. [110] Google DeepMind just dropped an AI co-clinician It sees + hears ... — reactive:deepmind-ai-co-clinician
  111. [111] Can AI become a true co-clinician in healthcare? — reactive:deepmind-ai-co-clinician (2026-05-01)