1 citations · 1 across the 2 of their papers we have counts for
4 papers
Generalist Foundation Models Are Not Clinical Enough for Hospital Operations
Lavender Y. Jiang, Angelica Chen, Xu Han +16
Hospitals and healthcare systems rely on operational decisions that determine patient flow, cost, and quality of care. Despite strong performance on medical knowledge and conversat…
It is Too Many Options: Pitfalls of Multiple-Choice Questions in Generative AI and Medical Education
Shrutika Singh, Anton Alyakin, Daniel Alexander Alber +9
The performance of Large Language Models (LLMs) on multiple-choice question (MCQ) benchmarks is frequently cited as proof of their medical capabilities. We hypothesized that LLM pe…
CNS-Obsidian: A Neurosurgical Vision-Language Model Built From Scientific Publications
Anton Alyakin, Jaden Stryker, Daniel Alexander Alber +29
General-purpose VLMs demonstrate impressive capabilities, but their opaque training on uncurated internet data poses critical limitations for high-stakes decision-making, such as i…
MedG-KRP: Medical Graph Knowledge Representation Probing
Gabriel R. Rosenbaum, Lavender Yao Jiang, Ivaxi Sheth +11
Large language models (LLMs) have recently emerged as powerful tools, finding many medical applications. LLMs' ability to coalesce vast amounts of information from many sources to…