Audience fit
The course must have a credible use for doctors, nurses, healthcare leaders, researchers or patient-facing teams.
AI for DoctorsInstituteExplore coursesHow we work
Transparent selection. Independent judgment.
Our methodology explains why a course is included, how it is scored and how commercial relationships are kept separate from editorial assessment.
Review leadership
Course reviews and original resources are prepared under the editorial direction of Andrie Udal, PhD, MSHDS. Reviews describe educational fit and do not certify clinical effectiveness, regulatory compliance or professional competence.
Methodology last reviewed July 30, 2026.
Inclusion standard
Six questions guide every selection.
Clinical relevance
We assess whether the learning can improve understanding of care, safety, governance, workflow or health-system decisions.
AI and digital-health relevance
Core AI courses are separated from supporting leadership, policy and patient-care skills so visitors can see the difference.
Learning clarity
The title, intended audience, duration, level and outcomes must be sufficiently clear for a learner to make an informed choice.
Risk and limitations
We identify when a course is introductory, jurisdiction-specific, outside core AI education or insufficient for clinical implementation.
Source freshness
Course facts and links are periodically rechecked. Material changes trigger an editorial update and a new review date.
What the five scores mean
AI relevance
How directly the published course description addresses AI concepts, evaluation, implementation or governance.
Clinical relevance
How closely the subject supports patient care, clinical teams, medical decisions or healthcare delivery.
Practical value
Whether the described outcomes appear usable in professional learning, workflow, communication or leadership.
Governance depth
The degree to which ethics, privacy, safety, equity, accountability or policy are included.
Currency
Our assessment of whether the subject and available description appear current enough for the stated educational purpose.
Scores use a five-point editorial scale and are not Alison ratings, accreditation decisions, clinical-evidence grades or learner reviews.
From discovery to publication
- DiscoverIdentify potentially relevant healthcare and AI courses.
- ScreenCheck audience, topic, course facts and apparent educational fit.
- ClassifySeparate core AI, digital-health and supporting professional skills.
- AssessWrite an independent clinical take, strengths, limitations and scorecard.
- DisclosePlace affiliate notices before commercial links.
- RecheckReview links and material course changes on a periodic basis.
Corrections
Correcting the record
Material factual errors are corrected promptly. Significant changes to a course assessment receive an updated review date and a short explanation where reader understanding could otherwise be affected.
To report an issue, call +1 (855) 400-3575 and identify the page, statement and supporting source.
Conflicts of interest
Commercial relationships
The Institute participates in Alison’s affiliate programme and may earn a commission from qualifying purchases. Inclusion and editorial scores are not determined by commission value.
Alison owns and maintains its courses. AI for Doctors Institute is an independent curator and is not presented as Alison, a university, an accreditor or a medical licensing body.