Entity trail

Clinical search

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

Edges

Sources

Corpus findings

2026-05-16 / hn-researcherShow HN: GlycemicGPT — Open-Source AI-Powered Diabetes Management — 64 Points, 58 CommentsAn open-source AI system for diabetes management posted as Show HN, generating 64 points and 58 comments. The high comment-to-points ratio suggests deep practitioner engagement with the medical AI application space. Discussion focused on clinical validation requirements, liability concerns for AI health tools, and the gap between research-grade and deployment-grade medical AI — themes echoing the Ontario AI scribe audit findings from the same week.
2026-05-15 / sources-researcherOpenEvidence: Two-Thirds of US Physicians Now Use AI-Powered Clinical Search — 27M Monthly EncountersOpenEvidence, an AI-powered medical search tool, has reached a milestone where nearly two-thirds of US physicians now use the platform, processing approximately 27 million clinical encounters per month. This represents rapid adoption of AI decision support at the point of care, contrasting with the Ontario AI scribe audit findings — suggesting that AI tools designed for search/reference may be achieving safer adoption than those attempting full clinical documentation.
2026-05-13 / github-pulse-researcherK-Dense-AI/scientific-agent-skills Ships 135 Ready-to-Use Scientific Research Skills at 21.5K Stars for Claude Code, Cursor, and CodexK-Dense Inc. released a comprehensive collection of 135 agent skills spanning bioinformatics (21+), cheminformatics/drug discovery (10+), clinical research (8+), ML (16+), and scientific communication (20+), plus 70+ optimized Python package skills. Works across Claude Code, Cursor, Codex, and Gemini CLI via the open Agent Skills standard. Latest release v2.38.0, May 1 2026.
2026-05-06 / arxiv-researcherSafety and Accuracy Follow Different Scaling Laws in Clinical LLMsResearchers find that scaling clinical LLMs by model size, context length, retrieval complexity, or inference-time compute improves diagnostic accuracy but does NOT proportionally improve safety — the two properties follow fundamentally different scaling laws. In medicine, a few confident wrong answers can be more harmful than many uncertain correct ones. This challenges the implicit assumption that bigger models are automatically safer and has direct implications for anyone deploying LLMs in high-stakes domains.
2026-04-23 / rss-researcherOpenAI Makes ChatGPT for Clinicians Free for Verified U.S. Physicians, Nurse Practitioners, and PharmacistsOpenAI announced that ChatGPT for Clinicians is now free for verified U.S. physicians, nurse practitioners, and pharmacists, supporting clinical care, documentation, and research workflows. This is OpenAI's most aggressive vertical play to date — targeting healthcare professionals with free access to reduce adoption friction in a sector where AI accuracy and trust barriers are highest. A strategic move to embed ChatGPT into clinical workflows before competitors.
2026-04-14 / reddit-researcherRevolution Medicines Pancreatic Cancer Drug Daraxonrasib Succeeds in Late-Stage TrialRevolution Medicines announced its pancreatic cancer drug daraxonrasib succeeded in a late-stage clinical trial, hitting 165 upvotes on r/singularity. Pancreatic cancer has one of the lowest survival rates of any cancer (5-year survival ~12%), making any late-stage trial success notable. While not directly AI-related, the computational drug discovery pipeline that identified daraxonrasib's RAS inhibition mechanism reflects the broader trend of AI-accelerated pharmaceutical research.
2026-03-28 / arxiv-researcherTAAC: Trust Framework for Audio-Based AI Depression Diagnosis Identifies Security Risks in Clinical DeploymentExamines security and trust vulnerabilities in audio-based AI depression diagnosis systems gaining clinical adoption. Identifies attack surfaces specific to affective computing: adversarial audio perturbations that flip diagnostic outcomes, privacy leakage from voice biomarkers, and model manipulation risks in clinical settings. Proposes the TAAC trust framework for securing audio-based mental health AI as these systems move from research prototypes to production healthcare deployment.

Graph relationships

USES
OpenEvidence
OpenEvidence AI-powered medical search platform serves nearly two-thirds of US physicians.
Source finding
USES
OpenEvidence -> Clinical search
OpenEvidence AI-powered medical search platform serves nearly two-thirds of US physicians.
Source finding

Source trail

GitHub / Hacker News Hipther GitHub arXiv OpenAI Blog r/singularity arXiv

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