Regulation in the US, EU and Türkiye, published studies and clinical tools. Every story is dated; regulatory decisions and studies are labelled separately.
A safe healthcare AI operating model is a repeatable way to select, validate, monitor and stop AI systems in clinical care. It connects evidence, workflow, risk ownership and post-deployment surveillance.
Limitation: This DoktorClub intelligence article is for professional education and market/context analysis.
Cardiology AI has value when it links signals to defined clinical pathways, not when it produces isolated risk scores without follow-up capacity.
Pathology AI is a digital-lab transformation story: algorithms matter only after slide quality, scanner consistency, routing and report integration are controlled.
Oncology AI is valuable when it makes precision care usable and access-aware: molecular interpretation, trial matching and tumour-board synthesis must change real decisions.
AlphaFold 3 strengthens AI drug discovery by improving structural and interaction hypotheses; it does not replace experimental validation or clinical trials.
Genomic AI can support prevention only when risk scores are ancestry-aware, probabilistic and connected to counselling and follow-up pathways.
The data governance layer behind trustworthy medical AI with source-led analysis, clinical governance, Turkey/regional context and a pre-publication E-E-A-T checklist.
Hospital procurement for healthcare AI: a playbook for executives with source-led analysis, clinical governance, Turkey/regional context and a pre-publication E-E-A-T checklist.
The EU AI Act for physicians and hospital leaders with source-led analysis, clinical governance, Turkey/regional context and a pre-publication E-E-A-T checklist.
Healthcare AI and privacy: from consent forms to technical controls with source-led analysis, clinical governance, Turkey/regional context and a pre-publication E-E-A-T checklist.
Turkey’s healthcare AI opportunity: build, buy or regulate? with source-led analysis, clinical governance, Turkey/regional context and a pre-publication E-E-A-T checklist.
Clinical AI, medical device regulation, FDA and TITCK updates, hospital AI implementation, digital health investment and the Turkey context for healthcare AI.
Physicians, hospital leaders, digital health teams, medical device and pharma professionals, and healthcare policy readers.
Stories are dated and labelled by type: regulatory decision, study, report/guidance. Explainers written for patients are listed separately.
