Accès ouvert
2026
article
OpenAlex
Anton Alyakin, Jaden Stryker, Daniel Alexander Alber, Jin Ha Lee et autres
BACKGROUND AND OBJECTIVES: Multiple-choice questions are the primary assessment format for neurosurgical board certification. Creating high-quality examination questions requires significant expert time and resources. The goal of this study was to develop an automated system to generate board-style neurosurgical multiple-choice questions using …
us
(code pays fourni par la source)
Accès ouvert
2026
article
OpenAlex
Krithik Vishwanath, Anton Alyakin, Mrigayu Ghosh, Ali Hage et autres
Specialized clinical artificial intelligence (AI) tools are entering medical practice despite scarce independent evaluation. We quantitatively evaluate two clinical AI tools, OpenEvidence and UpToDate Expert AI, built on large language models (LLMs) against three frontier LLMs: GPT-5.2, Gemini 3.1 Pro and Claude …
us
(code pays fourni par la source)
Accès ouvert
2026
article
OpenAlex
Anton Alyakin, Jaden Stryker, Daniel Alexander Alber, Jin Vivian Lee et autres
BACKGROUND AND OBJECTIVES: General purpose vision-language models (VLMs) demonstrate impressive capabilities, but their opaque training on uncurated internet data poses critical limitations for high-stakes decision making, such as in neurosurgery. We present CNS-Obsidian, a neurosurgical VLM trained on peer-reviewed neurosurgical literature, and …
us
(code pays fourni par la source)