Journal club
We pick a recent paper on AI in medicine and talk it through: what they built, whether it holds up, and what it would mean for patients. You don't need to have read every page to show up.
A big tent for AI in medicine.
Pitt AI in Medicine is a student-run club at the University of Pittsburgh. We read papers together, teach each other to code, run a summer machine learning course, and do research with Pitt and UPMC faculty.
You don't need to be a Pitt student, a med student, or a programmer to join.
No coding experience needed
Research
Research is a big part of what we do. Members work with faculty at Pitt, UPMC, and other schools, in AI and well beyond it. Here's who's working on what.
- Drug discoveryGraph neural networks that predict which drug targets could push a diseased cell back toward health.Isuru Herath
- Neurosurgery and neuro-oncologyOutcomes research in neurosurgery, from trigeminal neuralgia to brain tumors, and reviews of neurosurgical care across Africa.Peace Odiase
- PathologyCytopathology and surgical pathology, what chatbots like ChatGPT and Llama can and can't do in the field, and reviews that explain AI to clinicians.Josh Pantanowitz
- Clinical predictionInterpretable models on large clinical datasets like NIH All of Us, aimed at questions that come up at the bedside.Ethan Wu
- Humans and AI in the operating roomPairing clinicians with AI models to watch for problems during surgery.Yash Raka
- Critical careResearch questions from the ICU.Peace Odiase, Rehan Gupta, Ronit Deshpande
- Obstetrics and gynecologyMembers bringing their work to the ACOG annual meeting.Carly Mable, Soo Kang
- Medical imagingDeep learning on retinal OCT scans.Ethan Wu
A few recent papers
2026 · Ophthalmology Science
Novel Systemic Associations of Idiopathic Epiretinal Membrane Identified via Machine Learning
2026 · Journal of Pathology Informatics
How does AI perform compared to human expert panels in medical Delphi studies? A pilot study through the lens of pathology
2026 · Clinical Neurology and Neurosurgery
Prognostic impact of multi-divisional trigeminal neuralgia on pain outcomes following microvascular decompression
2026 · medRxiv (preprint)
Hybrid novice-AI system achieves expert-level performance in intraoperative ischemia detection
What we do
Coding workshops
Hands-on sessions from Python basics to machine learning frameworks and health-data analysis. Bring a laptop. We start from scratch.
Summer ML course
Applied Machine Learning in Medicine: 8 Friday sessions building real models on the NIH All of Us dataset, ending with your own project.
See the syllabusResearch projects
We connect members with Pitt and UPMC faculty on projects in health records, imaging, language models, and more. Several members have published along the way.
Our researchComing up
Dates for this year aren't set yet. Email us and we'll send them when they are.
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Meeting
General body meeting
Meet the officers, hear what's planned for the year, and find people to work with.
Time TBA · Location TBA
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Journal club
Journal club
A recent paper on AI in medicine, talked through together. No need to finish it first.
Time TBA · Location TBA
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Workshop
Intro to Python workshop
Your first hands-on session: Python and pandas on health data, from scratch.
Time TBA · Location TBA
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Course
Applied ML in Medicine, next cohort
Eight sessions building models on the NIH All of Us dataset. Dates and applications to come.
Time TBA · Location TBA
About the course
Officers, 2025 to 2026
Ethan Wu
Isuru Herath
Mary Moon
Peace Odiase
Yash Raka
Ankit Raheja
2026 to 2027 officers will be announced soon. Interested in helping run the club? Let us know.
FAQ
Do I need to know how to code?
No. Workshops start from the basics, and the summer course includes a Python and pandas crash course.
Do I have to be a Pitt student?
No. We're based at Pitt, but you don't need to be a Pitt student, or a student at all. People from other schools, clinicians, and engineers are all welcome.
When and where do you meet?
We're still setting this year's schedule. Email us and we'll send dates and rooms once they're confirmed.
Can I actually get published?
It happens. Some past course projects were published in peer-reviewed journals, and members publish with faculty at Pitt, UPMC, and elsewhere.
What data do we work with?
The summer course uses the NIH All of Us Research Program, a national dataset of health records and surveys, through its online Researcher Workbench.
How do I join?
Email etw46@pitt.edu with a line or two about yourself. That's it.