Large Language Models in Healthcare
Daily tracking of how ChatGPT, Claude, MedGemini and other large language models are entering healthcare: clinical decision support, physician assistants, ambient AI, safety and regulation.
Oncology AI and the economics of precision care
A practical analysis of oncology AI across molecular interpretation, trial matching, tumour boards and access-aware precision care.
Genomics, polygenic risk and the next frontier of clinical AI
Genomic AI can support prevention only when risk scores are ancestry-aware, probabilistic and connected to counselling and follow-up pathways.
Physician burnout and AI: productivity tool or another inbox?
Physician burnout and AI: productivity tool or another inbox? with source-led analysis, clinical governance, Turkey/regional context and a pre-publication E-E-A-T checklist.
Medical education in the age of clinical copilots
Medical education in the age of clinical copilots with source-led analysis, clinical governance, Turkey/regional context and a pre-publication E-E-A-T checklist.
Latest articles on LLMs and healthcare
Mental health AI: access, evidence and the line between coach and clinician
Mental health AI: access, evidence and the line between coach and clinician with source-led analysis, clinical governance, Turkey/regional context and a pre-publication E-E-A-T…
Liability and malpractice in the age of AI copilots
Liability and malpractice in the age of AI copilots with source-led analysis, clinical governance, Turkey/regional context and a pre-publication E-E-A-T checklist.
Cybersecurity for healthcare AI: prompt injection meets patient safety
Cybersecurity for healthcare AI: prompt injection meets patient safety with source-led analysis, clinical governance, Turkey/regional context and a pre-publication E-E-A-T…
Large language models in clinical reasoning: promise, limits and the new duty of verification
LLMs can support clinical reasoning by organizing evidence and alternatives, but they create a new verification duty for physicians and health systems.
Microsoft Dragon Copilot signals the consolidation of ambient AI
Dragon Copilot signals that ambient AI is becoming enterprise workflow infrastructure, not merely a physician note-taking add-on.
AMA’s AI work frames adoption as augmented, not artificial, intelligence
AMA’s augmented-intelligence framing matters because physician trust depends on AI supporting, not displacing, clinical responsibility.
Med-Gemini shows why medical AI benchmarks are entering a harder phase
Med-Gemini shows that medical AI benchmarks are becoming more clinically realistic, but benchmark performance is not the same as deployment readiness.
Ambient clinical documentation after the first hype cycle
Ambient clinical documentation can reduce note burden only if consent, note accuracy, correction workload and data handling are designed before scale-up.
Large multimodal model guidance raises the bar for medical chatbots
Large multimodal model guidance raises the bar for medical chatbots with source-led analysis, clinical governance, Turkey/regional context and a pre-publication E-E-A-T checklist.
AI scribes move from physician perk to enterprise infrastructure
AI scribes move from physician perk to enterprise infrastructure with source-led analysis, clinical governance, Turkey/regional context and a pre-publication E-E-A-T checklist.
AI in medical education moves from cheating concern to curriculum requirement
AI in medical education moves from cheating concern to curriculum requirement with source-led analysis, clinical governance, Turkey/regional context and a pre-publication E-E-A-T…
Primary care AI becomes the proving ground for clinical copilots
Primary care AI becomes the proving ground for clinical copilots with source-led analysis, clinical governance, Turkey/regional context and a pre-publication E-E-A-T checklist.
Primary sources tracked by DoktorClub editors
Trusted sources the DoktorClub editorial team monitors for this cluster: