Understand an AI claim, prepare for a visit, or plan a responsible pilot. Find a guide for the decision in front of you.
Healthcare AI with DR GPT™
Browse 17 practical guides, an evidence comparison and downloadable worksheets for patients, clinicians, leaders and builders. Explore all topics and the interactive map.
Browse all topics and practical guides below.
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Practical guide
A useful AI claim identifies a task, a population, a comparison and an outcome. Use this guide to decide what a result supports and what remains uncertain.
Sources checked September 28, 2026 · AI assisted educational synthesis
Practical guide
Proactive care requires a useful response to an earlier signal. Finding more abnormalities is only one part of evaluating an AI screening or risk prediction program.
Sources checked September 28, 2026 · AI assisted educational synthesis
Practical guide
A wearable notification is a piece of information to interpret within a care pathway. The device, its intended use, and the response plan matter as much as its algorithm.
Sources checked September 28, 2026 · AI assisted educational synthesis
Practical guide
Before entering health information into an AI chatbot, understand the task, the data policy and how you will check the answer.
Sources checked September 28, 2026 · AI assisted educational synthesis
Practical guide
Evaluate an ambient scribe by the accuracy of the finished record, the work required to review it, and the experience of the patient and clinician.
Sources checked September 28, 2026 · AI assisted educational synthesis
Practical guide
A diagnostic AI result must be interpreted in its intended population and workflow. Performance in a test dataset cannot answer every question about care.
Sources checked September 28, 2026 · AI assisted educational synthesis
Practical guide
Use AI as an optional organizer for questions and information you can verify. The goal is a clearer conversation with your care team.
Sources checked September 28, 2026 · AI assisted educational synthesis
Practical guide
Start with a specific problem and a comparison you can measure. An AI pilot should test the complete workflow, including the people who respond to the output.
Sources checked September 28, 2026 · AI assisted educational synthesis
Practical guide
An FDA listing is a starting point for examining a specific device and its intended use. It is not a rating of all products from a company or a guarantee for every clinical situation.
Sources checked September 28, 2026 · AI assisted educational synthesis
Practical guide
A monitoring plan needs an action path. Decide who can pause a system, what happens to affected work, and what evidence is needed before use resumes.
Sources checked September 28, 2026 · AI assisted educational synthesis
Practical guide
A model can only work with the information and permissions its workflow provides. Map the data path before choosing the deployment architecture.
Sources checked September 28, 2026 · AI assisted educational synthesis
Practical guide
Research results can identify a promising direction without establishing readiness for routine care. Match the conclusion to the stage and setting of evaluation.
Sources checked September 28, 2026 · AI assisted educational synthesis
Practical guide
Medication safety depends on a complete medication history, reliable reference information and a qualified professional who can act on a concern. Evaluate each AI task separately.
Sources checked September 28, 2026 · AI assisted educational synthesis
Practical guide
A mental health chatbot needs more than engaging conversation. Its intended population, evidence, privacy practices and route to human help should be clear before use.
Sources checked September 28, 2026 · AI assisted educational synthesis
Practical guide
Children need evidence that matches their age, developmental stage and care setting. An adult validation study alone cannot establish how a tool performs in pediatric care.
Sources checked September 28, 2026 · AI assisted educational synthesis
Practical guide
Oncology AI spans screening, pathology, imaging, treatment planning and research. Evidence from one part of the cancer pathway does not validate the entire pathway.
Sources checked September 28, 2026 · AI assisted educational synthesis
Practical guide
Rehabilitation technology should be judged by function, participation and the person’s goals. A sophisticated device or accurate movement score does not by itself show better recovery.
Sources checked September 28, 2026 · AI assisted educational synthesis
Evidence comparison
Compare study designs, absolute results, applicability and unanswered questions across five clinical areas. Keep the conclusion at the level of the outcome that was measured.
Sources checked September 28, 2026 · AI assisted educational synthesis
Downloadable worksheets
Use these two printable worksheets to document an evidence claim and plan a local evaluation. They are original editorial tools, not validated clinical instruments.
Sources checked September 28, 2026 · AI assisted educational synthesis
Resource hub
A focused library for healthcare leaders, clinicians, patients, and builders. We prioritize primary sources and label interpretation separately from reported facts.
Evidence
Real world benefits and harms, presented symmetrically with primary citations and practical governance lessons.
Read the evidence review →Governance
Risk tiers, decision rights, validation, deployment gates, monitoring, incidents, and retirement.
Use the governance model →Education
Practical questions that help people verify outputs, recognize limits, protect privacy, and escalate risk.
Build AI literacy →Standards
A practical map of WHO, NIST, FDA, AMA, and the EU AI Act, including what each does and does not cover.
Compare frameworks →Implementation
A field guide to keeping qualified people accountable for consequential decisions.
Read the article →Author
More work on healthcare innovation, responsible AI, and clinical leadership.
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