Accepted Posters

Explore the cutting-edge research and clinical innovations defining the future of AI in medicine.

Poster Session 1 & Lunch

  • Open Seating
  • Poster Discussions & Networking
12:15 PM – 1:30 PM
01
Continuous-Value Tokenization Improves Medical Foundation Model Performance
Kent Mccann
02
Predicting Renal Cell Carcinoma Outcomes from Clinical Trial Data Using Multimodal Genomic Foundation Models
Shawn Wahi
03
NursePT: Evaluating Patient Engagement with a Voice-Enabled AI Assistant in Facial Plastic Surgery
Muhammad Munshi
04
Building an AI Platform for Intraoperative Neural Analysis: A Validated Pilot in Vascular Care Quality Improvement
Nicholas Wells
05
Understanding the Role of Uncertainty Quantification in Cancer Mortality Prediction: A Real-World Study
Maureen Canavan
06
An AI-Guided In Silico Decision Engine for Prioritizing CRISPR/Cas9-Based Cancer Vaccine Targets from Tumor Genomics
Oscar Murillo Gomez
07
Urology Copilot: Customizing Large Language Models to Clinical Algorithms for Safer, Evidence-Based Clinical Decision Support
Ashti Shah
08
Decoding mRNA Quality with ctDNA Foundation Model: Quantifying Long-Read vs. Short-Read Sequencing Bias Using Drug-Likelihood Boosting
Xinyu Wei
09
Standardizing NF2-Related Schwannomatosis Surveillance Using AI-Based 3D Tumor Segmentation
Katie Howard
10
Impact of an Ambient AI Scribe on Resident Physician Experience and Documentation Burden: A Pre-Post Quality Improvement Study
Shanin Chowdhury
11
Large Language Models and Counseling for Therapy 13 and 14
Alec Rutherford
12
AI-Driven Estimation of Patient Out-of-Pocket Costs
Tianxiao Wei
13
When Domain-Specific Diseases in Large Language Models: Diagnosing and Adapting Learned Representations via Modularized Transformer Decoding
Jianxiang Gao
14
Application of a Large Language Model to Infer Ischemic Stroke Etiology and Elucidating its Diagnostic Reasoning
Richa Sharma
15
ChatGPT vs. Physician: Quality and Wellness Calibration of Certifications of Terminal Illness
Alex Choi

Poster Session 2 & Networking Reception

  • Light Refreshments Provided
  • Poster Discussions & Networking
3:35 PM – 5:00 PM
01
Leveraging AI for Digital Phenotyping: Anticipating Lapses in Exercise for Adults with Type 1 Diabetes
Garrett Ash
02
Implementation of an Opioid Use Disorder (OUD) Machine-Learning Classifier in Real-Time Clinical Workflow for the ADAPT Clinical Trial
Huan Li
03
Power Agent: A Collaborative Multi-Agent Framework for Causal Power Analysis and Sample Size Determination
Yukang Zeng
04
Artificial Intelligence in Medicine: What Works, What Hinders, and Why It Matters
Raghavee Neupane
05
Automating Neurological Scoring for Parkinson's Disease Patients using LLM-Based Analysis of Patient-Clinician Interactions
Varada Khanna
06
Physics-Informed Neural Networks Reveal Stability Thresholds Underlying Mechanistic Resistance in Glioblastoma
Shivi Kumar
07
Single-Lead ECG-App from Wristbands as a Device-Agnostic Digital Biomarker of Cardiovascular Risk: Multisite and Prospective Validation
Lovedeep Dhingra
08
A Patient-Specific Digital Twin for Adaptive Radiotherapy of Near-Small Cell Lung Cancer
Anvi Sud
09
AI-Guided Design and Prioritization of Tandem Neoantigen Sequences for Melanoma CDM Cancer Vaccines
Oscar Murrilo Gomez
10
Optimizing Artificial Intelligence Analysis of Social Determinants of Health from Neural Networks Tools to Enable Risk Stratification and Outcomes
Oana Sandu
11
Who Lives, Who Dies, Who Tells Your Story: Operationalizing Sociohistorical Connectivity in NLP for Structural Reviews in Major Elective Surgery
Madeline Daquila
12
Evaluation of an Autonomous AI System for Multimodal Diabetic Retinopathy Screening across a Community University-Qualified Health Center
Julia Fu
13
Artificial Intelligence-Assisted Cognitive Medial Modules with Ketamine for Treatment-Resistant Depression
Morgan Hardy
14
Identifying Pancreatic Cysts and their Malignant Potential in Electronic Medical Records Using NLP and LLM
Tyger Lin
15
Automated Scoring and Automated Categorization of Long Feud Clinical Interviews Using AI and Large Language Models
Walter Mathis