OpenAI Academy

Education

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# education
# Higher Education

Clinical reasoning, practiced like a skill

Clinical Mind AI is a Stanford-origin platform and research program led by Marcos Rojas Pino that trains clinical reasoning through realistic, decision-based simulations delivered by text and real-time voice. Built on OpenAI’s API and developed from an early laptop prototype into a full platform, it lets instructors author cases and gives learners a telehealth-style interface with an electronic health record for documenting histories, reviewing images, and ordering tests. The system targets two core gaps that separate novices from experts: asking effective questions to gather data and recognizing which findings matter for diagnosis, treatment, referral, and disposition decisions.
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At Scripps Research, PhD candidate Marco Uytiepo studies how neural circuits store experience by analyzing immense electron-microscopy datasets and reconstructing brain wiring across millions of synapses. Trained primarily as an experimental scientist, he taught himself to code and now uses ChatGPT to accelerate the unglamorous work that makes modern neuroscience possible: building data pipelines, debugging scripts, and automating 3D reconstruction workflows across tools like MATLAB, Python, and Blender. Work that previously required days of iteration can be reduced to rapid cycles that produce usable code and clearer visualizations, supporting faster hypothesis testing and more experiments within a single project.
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