Posters Presenting on Thursday, October 12
| # | Abstract Title | Presenter |
|---|---|---|
| P01 | 3D Pose Estimation Using RGB-D Data for Rehabilitation | Gloria-Edith Boudreault-Morales |
| P02 | A Novel AI Clinician: Training an Intelligent System to Predict COVID-19 Pneumonia Hospital Outcomes | George Chen |
| P03 | Accelerating Personalized Breast Cancer Treatment: Validating an AI-Driven Quantitative Ultrasound Model for Predicting Neoadjuvant Chemotherapy Response | Matthew Shammas-Toma |
| P04 | An AI-assisted Chatbot for Patient Education and Care in Radiotherapy | James C. L. Chow |
| P05 | Applying mechanistic in-silico EEG biomarkers for improved diagnosis in depression | Frank Mazza |
| P06 | Beyond Hand-Crafted Features For Pretherapeutic Molecular Status Identification Of Pediatric Low-Grade Neuroepithelial Tumors | Kareem Kudus |
| P07 | Deep Learning Architectures for 3D Reconstruction of Oral Cancer Models from Intraoperative Spatial-Frequency Fluorescence Images | Natalie J. Won |
| P08 | Deep Learning-Enabled 3D Fluorescence Imaging for Surgery: A Simulation Study in the Second Near-Infrared Window | Jerry Wan |
| P09 | Designing a healthbot for varenicline adherence using healthcare provider perspectives | Mackenzie V. Earle |
| P10 | Detection and recognition of hand impairment level in stroke survivors using egocentric video of activities of daily living | Anne Mei |
| P11 | Evaluating the Effectiveness of Early Survival Prediction for Coronary Artery Disease Patients: Pre-Treatment vs. Combined Pre and Post Treatment Features | Anita Khalafbeigi |
| P13 | Evaluation of Synthetic Data Augmentation for Mitigating Covariate Bias in Real World Health Data | Lamin Juwara |
| P14 | Identifying Trusted and Ambiguous Regions in Neural Network Predictions: High-Fidelity AI For Image Pathology | Kenneth Wenger |
| P15 | Iterative XAI Frameworks for Oncology Decision Making: Integrating Expert Feedback to Enhance Cancer Diagnosis | Shermineh Ghasemi |
| P16 | Machine Learning for Assessment of Capsulorhexis Performance in Cataract Surgery | Jonathan ZL. Zhao, Olapeju Sam-Oyerinde |
| P17 | Multi-Document Summarization of Patient Neurovascular Radiology Reports | Heet Sheth |
| P18 | Predicting self and care staff’s evaluation of resident’s rehabilitation potential in post-acute care setting using machine learning algorithms | Bonaventure A. Egbujie |
| P19 | Prediction Algorithms Driving the Making of the National Early Warning System Two Plus Capacity of the Electronic Casualty Card System in Any Disaster Situations – A Component of Vimy Multi-System |
Mariem Abid, Stephane Bourassa |
| P20 | Prediction of Depression Relapse in Youth and Adolescence from Ecological Momentary Assessment (EMA) data through Machine Learning | Cheuk Hei Chung |
| P21 | Robust Detection of Seizure Onset Zone in Patients with Epilepsy using a Novel Graph-based Neural Network | Milad Lankarany |
| P22 | Sex-Based Differences in Speech Coherence for classifying Schizophrenia using BERT similarity | Alban Voppel |
| P23 | Smoking Cessation Interventions in South Asian Region: a systematic scoping review | Rameesha Rehmani |
| P24 | Summarizing Clinical Trials with Large Language Models | Bryant Lim |
| P25 | Supervised Machine Learning Pipeline to Classify Pain using sEMG and MMG during Neuromuscular Electrical Stimulation to Combat Intensive Care Unit Acquired Weakness | Meg Sharma |
| P26 | Using Artificial Intelligence To Label Free-Text Operative And Ultrasound Reports For Grading Pediatric Appendicitis | Waseem Abu-Ashour |
| P26 | Using Artificial Intelligence To Label Free-Text Operative And Ultrasound Reports For Grading Pediatric Appendicitis | Dan Poenaru |
| P28 | Utilization of unsupervised image feature-based clustering to scale classifier design in histopathology | Minli Chen |
| P30 | Whole-Person Biopsychosocial Subtyping of Mental Illnesses in Treatment-Seeking Youth | Denise Sabac |
Posters Presenting on Friday, October 13
| # | Abstract Title | Presenter |
|---|---|---|
| P31 | A Comprehensive Study of Radiomics-based Machine Learning for Liver Fibrosis Detection in CT Images | Jay Yoo |
| P34 | Artificial intelligence-enabled cough detection for monitoring pulmonary tuberculosis treatment response in Madagascar: a preliminary report | Alexandra Zimmer |
| P35 | Assessing Hand Function in Spinal Cord Injury Patients: A Personalized Egocentric Video-Based Hand Analysis Approach | Mehdy Dousty |
| P36 | Bridge2AI-Voice as a Biomarker of Health: Building an ethically sourced, bio-acoustic database to understand diseases like never before (Bridge2AI-Voice Consortium) | Jordan Lerner-Ellis, Lochana Jayachandran |
| P37 | Capacity of Language Learning Models to Generate Medical Residency and Undergraduate Medicine Progress Test Questions | Ryan S. Huang |
| P38 | Clinician and health system leader perspectives on the use of AI for deriving social determinants of health data in primary care settings | Stephanie Garies |
| P39 | Delineate cell-cell communication (CCC) in anti-cancer drug resistance by deep learning based multi-modal single-cell methods | Fatema Zohora |
| P40 | Exploring Canadian Sentiments on COVID-19 Vaccination: A Twitter-based Analysis | Hassan Maleki Golandouz |
| P41 | Exploring patient perspectives on how they can and should be engaged in the development of artificial intelligence (AI) applications in health care | Samira Adus |
| P42 | Identifying Individualized Neurophysiological Causal Features for Working Memory Performance: Implications for Non-Invasive Brain Stimulation | Mina Mirjalili |
| P44 | Investigating model failures by patient (profiles) for safer clinical deployment | Olivier Lefebvre |
| P45 | Investigating the relationships between social media discourse and ICU bed demand to inform healthcare supply-chain decisions: COVID-19, Twitter and Causal Analysis | Mahakprit Kaur |
| P46 | Latent Variable Energy Based Model with Self-Supervised Approaches for Cancer Grading Problem | Kayvan Tirdad |
| P47 | Off-Label Drug Use during the COVID-19 Pandemic in Africa: Topic modeling and sentiment analysis of Ivermectin in South Africa and Nigeria as a case study | Zahra Movahedi Nia |
| P48 | On the factuality of Large language model-generated summaries of clinical abstracts | Wael Abdelkader |
| P49 | Predicting Pre-eclampsia in Pregnant Women: An ML-based Approach using the Lavndr App | Shveta Bhasker |
| P50 | Revolutionizing Patient Safety: An Adversarial Autoencoder and Advanced 3D-CNN Stacking Ensemble for Enhanced Privacy-Preserving Fall Detection in Healthcare | Christopher Silver |
| P52 | Stability-Based Biomarker Development to Identify Pathological Brain Areas Responsible for Freezing of Gait in Parkinson’s Disease | Nooshin Bahador |
| P53 | SurvdigitizeR: R Package to Automate the Digitization of Published Kaplan-Meier Curves | Jasper Zhongyuan Zhang, Qiyue Zhang |
| P54 | Time Motion-Study for Artificial Intelligence Automation to Improve Family Medicine Workflow: Protocol for a Mixed Methods Study | Karen Li |
| P55 | Understanding Patterns in Variants of Uncertain Significance to Facilitate Reclassification Using Machine-learning Based Variant Effect Predictors | Cindy Zhang |
| P56 | Unveiling Potential Hidden Bias in Automated Lateral Spine Image Interpretation: Predicting Demographic and Anthropometric Characteristics using Convolutional Neural Networks | Barret A. Monchka |
| P57 | Using Speech Features in a Random Forest Machine Learning Model to Predict COPD Symptoms | Sashini Kosgoda |
| P58 | Utilizing image denoising and machine learning segmentation to quantify fluid volume in eyes with vascular retinal diseases: the STATIC study | Niveditha Pattathil |