3 papers
cs.CL2026
EEG-SpikeAgent: Agentic Closed-Loop Program Synthesis for Automated EEG Spike Detection
Sonali Santhosh, Kelly Shuhong Yu, Eugene Chang +3
Automated detection of interictal epileptiform discharges in scalp electroencephalography (EEG) is clinically important, but recent high-performing deep-learning models often trade…
cs.CL2026
Advances in LLM Reasoning Enable Flexibility in Clinical Problem-Solving
Kie Shidara, Preethi Prem, Jonathan Kim +4
Large Language Models (LLMs) have achieved high accuracy on medical question-answer (QA) benchmarks, yet their capacity for flexible clinical reasoning has been debated. Here, we a…
cs.CL2025
Limitations of Large Language Models in Clinical Problem-Solving Arising from Inflexible Reasoning
Jonathan Kim, Anna Podlasek, Kie Shidara +3
Large Language Models (LLMs) have attained human-level accuracy on medical question-answer (QA) benchmarks. However, their limitations in navigating open-ended clinical scenarios h…