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cs.AI2026

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…

cs.AI2026

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,…

cs.AI2026

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…

cs.AI2026

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…

cs.AI2025

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…

cs.AI2025

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…