5 citations · 9 across the 11 of their papers we have counts for
5 papers · 1 filter
From Analytics to Tumor Boards: An Evidence-Linked Multi-Agent Workflow for Oncology Feature Extraction
Daniel Kang, Michelle Hu, Soorya Ram Shimgekar +12
Clinically relevant oncology information is distributed across heterogeneous, longitudinal documentation, creating substantial abstraction burden and requiring accurate attribution…
Tracing the Heart: An Evidence-Linked Pipeline for Heart-Failure Feature Engineering
Soorya Ram Shimgekar, Michelle Hu, Dorisa Shehi +10
Electronic health record (EHR) feature engineering is a major bottleneck in clinical research and AI, accounting for 39-45% of data scientists' workload. This is especially pronoun…
Trust but Verify:Evidence-Linked Multi-Agent Clinical Information Extraction in Pathology
Yufan Wang, Anit Kumar Sahu, Yan Fei Ng +8
Clinical feature extraction from pathology reports is challenging because relevant evidence may be distributed across coded and narrative fields and depend on specimen attribution,…
Prompt PerturbAItions: Mechanisms of LLM Response Inconsistencies
Soorya Ram Shimgekar, Agam Goyal, Amruta Parulekar +6
Large language models (LLMs) are increasingly deployed in conversational settings where user phrasing ranges from polite to casual to toxic, yet less is known about whether such le…
Belief Is All You Need: Modeling Narrative Archetypes in Conspiratorial Discourse
Soorya Ram Shimgekar, Abhay Goyal, Roy Ka-Wei Lee +3
Conspiratorial discourse is increasingly embedded within digital communication ecosystems, yet its structure and spread remain difficult to study. This work analyzes conspiratorial…