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This viewpoint proposes the Case-based Learning Intelligence Credit System (CLICS), a conceptual framework for translating AI-mediated clinical learning interactions into auditable evidence of reasoning-related engagement that could support CME\/CPD credit. CLICS introduces the professional learning episode (PLE) as the basic unit of creditable learning: a coherent AI-mediated interaction demonstrating a clinically meaningful problem, reasoning development through iterative inquiry, contextual or evidentiary integration, and reflective synthesis. PLEs are evaluated using the proposed Practice Intelligence Score-7 (PIS-7) rubric, subject to human calibration and oversight; the rubric assesses observable reasoning behavior within the episode rather than the AI\u2019s answer, and qualifying PLEs may be translated into CME\/CPD credit through threshold-based, human-auditable conversion rules. CLICS is not intended to replace traditional CME but to extend it as an optional, evidence-generating pathway for personalized, practice-embedded professional development. Its implementation requires iterative validation, stratified human audit, privacy-by-design architecture, antigaming controls, bias monitoring, and professional oversight. If validated, CLICS may enable identification of domain-specific areas for improvement and support personalized, adaptive learning pathways.<\/jats:p>","DOI":"10.2196\/99520","type":"journal-article","created":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T21:11:41Z","timestamp":1790802701000},"page":"e99520-e99520","source":"Crossref","is-referenced-by-count":0,"title":["AI-Mediated Assessment of Continuing Medical Education: The Case-based Learning Intelligence Credit System (CLICS) Framework"],"prefix":"10.2196","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-8384-243X","authenticated-orcid":false,"given":"Somkiat","family":"Wattanasirichaigoon","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1010","published-online":{"date-parts":[[2026,9,30]]},"reference":[{"issue":"9","key":"R1","doi-asserted-by":"publisher","first-page":"700","DOI":"10.1001\/jama.274.9.700","article-title":"Changing physician performance. 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