1 citations · 2 across the 11 of their papers we have counts for
13 papers
Risk and Refusal: Mechanisms of LLM Responses to Suicidal Ideation
Drishti Goel, Soorya Ram Shimgekar, Jeongah Lee +4
Refusal is a common safety mechanism in large language models (LLMs), yet in contexts of suicidal ideation (SI), refusing to engage can itself constitute a safety failure. We evalu…
PeerPen: AI-Assisted Writing for Online Mental Health Peer Support
Jiwon Kim, Sherry Gong, Maya Ajit +5
Online mental health communities thrive on peer support, yet those who volunteer to help often lack formal training and may struggle to articulate supportive responses. AI co-writi…
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…
LLUMI: Improving LLM Writing Assistance for Mental Health Support with Online Community Feedback
Jiwon Kim, Maya Ajit, Sherry Gong +4
Large language models (LLMs) show promise in generating supportive responses for mental health queries, but improving their usefulness, empathy, and safety often requires substanti…
AI Psychosis: Does Conversational AI Amplify Delusion-Related Language?
Soorya Ram Shimgekar, Vipin Gunda, Jiwon Kim +3
Conversational AI systems are increasingly used for personal reflection and emotional disclosure, raising concerns about their effects on vulnerable users. Recent anecdotal reports…
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…
Detecting Early and Implicit Suicidal Ideation via Longitudinal and Information Environment Signals on Social Media
Soorya Ram Shimgekar, Ruining Zhao, Agam Goyal +5
On social media, several individuals experiencing suicidal ideation (SI) do not disclose their distress explicitly. Instead, signs may surface indirectly through everyday posts or…
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…
Interpersonal Theory of Suicide as a Lens to Examine Suicidal Ideation in Online Spaces
Soorya Ram Shimgekar, Violeta J. Rodriguez, Paul A. Bloom +2
Suicide is a critical global public health issue, with millions experiencing suicidal ideation (SI) each year. Online spaces enable individuals to express SI and seek peer support.…