About AIMOCS
A resource hub for physicians, healthcare executives, and researchers who have to judge AI as it arrives in care.
Global, in English · 113 pieces in the library · updated 24 Sep 2026
What this is
AIMOCS publishes an open library on AI in healthcare and tracks new research as it appears in the journals. It is built for physicians, healthcare executives, and researchers: people in different institutions making the same decisions a few months apart.
The AIMOCS network is the membership, where members work through cases and questions together. One cohort runs at a time, live and by application.
AIMOCS was an AI development studio until July 2026. It is now a resource hub for AI in healthcare. Material from the earlier company has been retired rather than rewritten; where an old page still exists on the web, it describes an entity that no longer trades.
Universities teach this subject and several of their programs are good. A course ends, though, and the decisions come later, once a tool is live. AIMOCS is built for that stretch. The comparison page sets out how AIMOCS stands against those programs, including where they are ahead.
How the writing is held to account
Every published piece carries numbered primary sources, the date it was last updated, and the name of anyone who reviewed it. Articles are bylined to AIMOCS as an organization; pen names were retired in August 2026 and no piece is attributed to an author who does not exist.
Statistics carry the date they were true and the source they came from. Corrections are made on the page, dated, rather than quietly. The full policy on sourcing, review and correction is on the editorial standards page.
Who runs it
Ibrahem Albalkhi
AI and healthcare researcher. He holds editorial responsibility for everything AIMOCS publishes.
He has 36 PubMed-indexed publications as of 13 August 2026. Five are listed below, each linked to its DOI so it can be checked. The affiliations printed on those papers are Alfaisal University College of Medicine in Riyadh, Great Ormond Street Hospital NHS Foundation Trust in London, and the University of Pittsburgh Medical Center.
Selected publications
Radiomics in paediatric neuro-oncology. Pediatric Radiology.
Machine learning for stroke prognosis. Scientific Reports.
Machine learning for stroke prognosis. BMC Neurology.
AI for body-iron quantification. Blood Reviews.
A methods critique of synthetic oversampling. World Journal of Methodology.
Join
The library is open to everyone. The network is where you use it.
Members post a case or a question, and physicians, healthcare executives, and researchers answer. Membership also includes the member directory, the full briefing, event registration and replays, and ten self-paced courses with certificates of completion.
One email address and a six-digit code.