Sri Harsha Boppana, MBBS, MD

Nassau University Medical Center

Poster(s):

• P0815 - Heavy Risks, Hidden Links: How Obesity Drives Diverticulitis -- Revealing Insights From a Nationwide HCUP Database Analysis
  Sunday, October 26, 2025

  3:30 PM - 7:00 PM MT

• P4078 - Multimodal Transformer Model Predicts Post-Treatment Lesion Recurrence in Gastrointestinal Patients
  Monday, October 27, 2025

  10:30 AM - 4:00 PM MT

• P4079 - Automated Detection and Classification of Small Bowel Lesions in Capsule Endoscopy Using Vision Transformer (ViT) Architecture
  Monday, October 27, 2025

  10:30 AM - 4:00 PM MT

• P4338 - AI-Based Survival Prediction in Primary Biliary Cirrhosis Using Random Survival Forest and Longitudinal Clinical Features
  Tuesday, October 28, 2025

  10:30 AM - 4:00 PM MT

• P4573 - Advanced Machine Learning Framework for Predicting Polyp Evolution and Malignancy Risk in Gastroenterology: A Novel Approach to Personalized Surveillance and Early Intervention
  Tuesday, October 28, 2025

  10:30 AM - 4:00 PM MT

• P4574 - Genomic and Clinical Predictive Models for Tumor Progression, Therapy Response, and Microsatellite Instability Status in Colorectal Cancer
  Tuesday, October 28, 2025

  10:30 AM - 4:00 PM MT

• P4575 - A Multimodal Vision Transformer Model for Real-Time Histopathological and Morphological Classification of Colonic Polyps
  Tuesday, October 28, 2025

  10:30 AM - 4:00 PM MT

• P4776 - Revolutionizing Colorectal Cancer Detection: AI-Powered Real-Time Classification and Risk Stratification of Polyps
  Tuesday, October 28, 2025

  10:30 AM - 4:00 PM MT

• P4777 - AI-Powered Multimodal Prognostic Model for Colorectal Cancer Risk Stratification Using Integrated Image and Pathology Data
  Tuesday, October 28, 2025

  10:30 AM - 4:00 PM MT

• P4778 - Real-Time Multimodal Transformer Pipeline for Dynamic Prediction of Colorectal Polyp Growth and Malignancy Risk
  Tuesday, October 28, 2025

  10:30 AM - 4:00 PM MT

• P4783 - Integrated Clinical and Endoscopic Imaging Model Accurately Predicts Colorectal Polyp Recurrence
  Tuesday, October 28, 2025

  10:30 AM - 4:00 PM MT

• P5122 - Barlow Twins Self-Supervised Vision Transformer for Robust Classification of Gastrointestinal Endoscopic Images
  Tuesday, October 28, 2025

  10:30 AM - 4:00 PM MT

• P5124 - Automated Classification of Gastrointestinal Endoscopic Findings Using a Fine-Tuned Vision Transformer
  Tuesday, October 28, 2025

  10:30 AM - 4:00 PM MT

• P5125 - AI-Powered Lesion Detection and Localization for AR-Enabled Capsule Endoscopy: A Step Toward Real-Time Clinical Decision Support
  Tuesday, October 28, 2025

  10:30 AM - 4:00 PM MT

• P5126 - Advancing Gastrointestinal Disease Diagnosis and Prognosis With GastroEndo-Seq: An AI-Driven Approach for Stage Classification and Disease Progression Prediction
  Tuesday, October 28, 2025

  10:30 AM - 4:00 PM MT

• P5127 - Multimodal Classification of Gastrointestinal Conditions Using Vision Transformer-Based Deep Feature Extraction
  Tuesday, October 28, 2025

  10:30 AM - 4:00 PM MT

• P5128 - Hybrid Spatial - Temporal Deep Learning Accurately Classifies Capsule Endoscopy Lesions
  Tuesday, October 28, 2025

  10:30 AM - 4:00 PM MT

• P5130 - Multimodal AI Model for Predicting High-Risk Patients Requiring Capsule Endoscopy: A Fusion of Medical History and Imaging
  Tuesday, October 28, 2025

  10:30 AM - 4:00 PM MT

• P5204 - Enhancing Gastrointestinal Bleeding Detection in Wireless Capsule Endoscopy Using Convolutional Autoencoders
  Tuesday, October 28, 2025

  10:30 AM - 4:00 PM MT

• P5865 - Artificial Intelligence-Driven Multiclass Model for Early Detection and Prognostication of Hepatitis C Using EHR-Based Laboratory Data
  Tuesday, October 28, 2025

  10:30 AM - 4:00 PM MT

• P5866 - AI-Based Risk Stratification and Time-to-Transplant Prediction in Cirrhosis Using Random Survival Forest Modeling
  Tuesday, October 28, 2025

  10:30 AM - 4:00 PM MT

• P5867 - A Multi-Stage Machine-Learning Pipeline for Early Detection, Severity Stratification, and Prognostic Forecasting in Liver Disease
  Tuesday, October 28, 2025

  10:30 AM - 4:00 PM MT