5 citations · 9 across the 11 of their papers we have counts for
11 papers
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…
From Wearables to Warnings: Predicting Pain Spikes in Patients with Opioid Use Disorder
Abhay Goyal, Navin Kumar, Kimberly DiMeola +7
Chronic pain (CP) and opioid use disorder (OUD) are common and interrelated chronic medical conditions. Currently, there is a paucity of evidence-based integrated treatments for CP…
One VLM, Two Roles: Stage-Wise Routing and Specialty-Level Deployment for Clinical Workflows
Shayan Vassef, Soorya Ram Shimegekar, Abhay Goyal +3
Clinical ML workflows are often fragmented and inefficient: triage, task selection, and model deployment are handled by a patchwork of task-specific networks. These pipelines are r…
Agentic AI framework for End-to-End Medical Data Inference
Soorya Ram Shimgekar, Shayan Vassef, Abhay Goyal +2
Building and deploying machine learning solutions in healthcare remains expensive and labor-intensive due to fragmented preprocessing workflows, model compatibility issues, and str…
Using Audio Data to Facilitate Depression Risk Assessment in Primary Health Care
Adam Valen Levinson, Abhay Goyal, Roger Ho Chun Man +7
Telehealth is a valuable tool for primary health care (PHC), where depression is a common condition. PHC is the first point of contact for most people with depression, but about 25…
ChatGPT and Bard Responses to Polarizing Questions
Abhay Goyal, Muhammad Siddique, Nimay Parekh +9
Recent developments in natural language processing have demonstrated the potential of large language models (LLMs) to improve a range of educational and learning outcomes. Of recen…
Explainable and High-Performance Hate and Offensive Speech Detection
Marzieh Babaeianjelodar, Gurram Poorna Prudhvi, Stephen Lorenz +4
The spread of information through social media platforms can create environments possibly hostile to vulnerable communities and silence certain groups in society. To mitigate such…