3 citations
- New York UniversityUS2 papers
- The University of Texas at AustinUS2 papers
- Washington University in St. LouisUS2 papers
- Columbia UniversityUS1 paper
- Harvard UniversityUS1 paper
- Kyung Hee UniversityKR1 paper
- Massachusetts General HospitalUS1 paper
- Médecins Sans FrontièresUS1 paper
- Queens College, CUNYUS1 paper
- Saint Louis UniversityUS1 paper
- Stony Brook MedicineUS1 paper
- Stony Brook UniversityUS1 paper
3 papers
cs.LG2026
Large Language Models Predict Functional Outcomes after Acute Ischemic Stroke
Anjali K. Kapoor, Anton Alyakin, Jin Vivian Lee +8
Accurate prediction of functional outcomes after acute ischemic stroke can inform clinical decision-making and resource allocation. Prior work on modified Rankin Scale (mRS) predic…
cs.CV2025
Text-Driven Weakly Supervised OCT Lesion Segmentation with Structural Guidance
Jiaqi Yang, Nitish Mehta, Xiaoling Hu +2
Accurate segmentation of Optical Coherence Tomography (OCT) images is crucial for diagnosing and monitoring retinal diseases. However, the labor-intensive nature of pixel-level ann…
cs.CL2025★ 3 cited
MedMobile: A mobile-sized language model with clinical capabilities
Krithik Vishwanath, Jaden Stryker, Anton Alyakin +2
Language models (LMs) have demonstrated expert-level reasoning and recall abilities in medicine. However, computational costs and privacy concerns are mounting barriers to wide-sca…