Philip Shih

Medical Student · Developer

About

I am currently a medical student at UCSF School of Medicine. I received my M.S. from the UC Berkeley–UCSF Joint Medical Program, where I studied neuroimaging methods.

As an undergraduate at UC Berkeley, I conducted computational life sciences research through the Klinman Group and ULab at Berkeley.

Apps

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Rosetta

Tool

Clinical decision support dashboard with RAG-assisted note generation, in-line editing, and template management.

Flask
Google Cloud DLP
TypeScript

Imaging Vision Sandbox

Web App

Apply image augmentations and classify in real-time on your browser with MobileNet.

TensorFlow.js
Canvas
TypeScript

Launch sandbox

Binary Search Tree Visualizer

Web Tool

Interactive BST playground addressing common painpoints found in other tools.

Canvas
TypeScript

Open visualizer

Interests

Research

My primary academic interest is in approaches to using synthetic imaging data to improve clinical decision support systems.

I am currently exploring how imaging tools and quality assurance gating may impact VLM performance across different visual reasoning tasks.

Recent Peer-Reviewed Work

Nov 2025

Hyperenhancement of pituitary neuroendocrine tumors (PitNETs) on preoperative MRI: implications on tumor characteristics and outcomes

Journal of Clinical Neuroscience

Sep 2025

Artificial Intelligence for Dermatological Image Quality Assessment

Current Dermatology Reports

Apr 2025

White Matter Microstructure Predicts Deep Brain Stimulation Outcomes in Parkinson's Disease

Frontiers in Computational Health Conference

Mar 2025

Prediction of Parkinson’s Disease Medication Change following Deep Brain Stimulation using Pre-Operative Diffusion Tensor Imaging

Transforming Biomedical Science and Healthcare through AI

Oct 2024

Outcomes After Anterior Gastropexy For Paraesophageal Hernia Repair

Journal of the American College of Surgeons

Feb 2024

Hyperenhancement of Pituitary Neuroendocrine Tumors on Preoperative MRI: Implications on Tumor Characteristics and Outcomes

Journal of Neurological Surgery Part B Skull Base

Focus areas

Decision support workflowsExplainable AI in medical imagingVLM-based tools for medical educationImage processingData ethics, governancePublic health, environmental health, sustainability

Bookshelf

Selected reads.

View Reading List