T-CAIREM AI in Medicine

Friday, October 13 – 10:30 AM-12:00 PM

#	Abstract Title	Presenter	Location
OR01	Artificial intelligence-based decision support predicts requirement for neurosurgical intervention in acute traumatic brain injury	Christopher Smith	Ballroom
OR02	Deep Learning for prediction of Neurodevelopmental Impairment in Preterm Babies from Cranial Ultrasound exam	Alessandro Guida	Ballroom
OR03	Improving Pediatric Low-Grade Neuroepithelial Tumors Molecular Subtype Identification Using a Novel AUC Loss Function for Convolutional Neural Networks	Khashayar Namdar	Ballroom
OR04	Machine Learning for the Prediction of Massive Transfusion in Trauma	Anton Nikouline	Ballroom
OR05	NLP and Machine Learning Pipeline to Automate Extraction of Clinical Injury Data	Alper Celik, Nicholas Singh	Ballroom
OR06	The State of Artificial Intelligence in Pediatric Surgery: A Systematic Review	Mo Elahmedi	Ballroom
OR07	A Machine Learning Approach to Processing and Interpreting Ex Vivo Lung Radiographs Predicts Transplant Outcomes	Bonnie T. Chao	Kingsway
OR08	Biological Pattern Discovery in Glioma Stem Cell Spatial Organization using Computer Vision and Transcriptomics	Shamini Ayyadhury	Kingsway
OR09	Designing a Scalable Pipeline for ML Ops to Expedite AI Research and Deployment at Princess Margaret Cancer Centre	Benjamin Grant	Kingsway
OR10	Exploring ensemble deep-learning to accurately classify breast tissue morphology using Wide-field OCT.	Ali Yassine, Yanir Levy	Kingsway
OR11	Identifying nucleosome positioning features based on Deep Residual Networks	Yosef Masoudi-Sobhanzadeh	Kingsway
OR12	Zero-Shot Medical Image Captioning with Frozen Vision Transformers and Large Language Models	David Li	Kingsway
OR13	A Motivational-Interviewing Chatbot with Generative Reflections for Increasing Readiness to Quit Among Smokers	Andrew Brown, Jonathan Rose	Caledon
OR14	Biopsychosocial Characterization of Cognitive Decline and Late-Life Depression Trajectories Using Bayesian Consensus Clustering and Machine Learning	Mu Yang	Caledon
OR15	Day-to-day variability in activity levels using wearable devices detects transitions to depressive episodes prior to changes in mood: analysis of densely-sampled data from a contactless longitudinal study	Abigail Ortiz	Caledon
OR16	Detecting and Analyzing Potential Comorbid ADHD in People Reporting Anxiety Symptoms from Social Media Data Using Transformers	Noelle Lim, Michael Guerzhoy	Caledon
OR17	Predictive Care: The False Promise of Fair AI Models in Acute Psychiatry	Laura Sikstrom	Caledon
OR18	Serum Metabolomic Pathways in Predicting future onset of Crohn’s Disease	Mingyue Xue	Caledon
OR19	A computational approach to breath-by-breath ventilator waveform data extraction and analysis during ex vivo lung perfusion enables enhanced physiological lung assessment	Xuanzi Zhou	Oakville
OR20	Automated Prognostication using Deep Learning Applied to Chest X-Rays of Patients with Suspected Pneumonia Presenting to the Emergency Department: A Prospective Shadow Deployment Study	Eduardo P. R. P. Almeida	Oakville
OR21	ChatGPT and Retinal Disease: A Cross-Sectional Study on AI Comprehension of Clinical Guidelines	Michael Balas	Oakville
OR22	Leveraging patient?s longitudinal data to predict One-year Mortality Risk	Hakima Laribi	Oakville
OR23	Measures of Overnight Oxygen Saturation can Characterize Sleep Apnea Severity and Predict Postoperative Respiratory Depression	Atousa Assadi	Oakville
OR24	Measuring Respiratory Mechanics with Esophageal Catheter and Oscillometry	Shaghayegh Chavoshian	Oakville

Friday, October 13 – 1:00 PM-2:00 PM

#	Abstract Title	Presenter	Location
OR25	An artificial intelligence-driven magnetic resonance imaging synthesis framework	Timur Latypov	Ballroom
OR26	Application of Machine Learning for Clinical Decision Support in the Treatment of Newly Diagnosed Pediatric Crohn Disease Patients	Ricardo Gabriel	Ballroom
OR27	Can a general large language model augment clinical decision-making in pediatrics?	Esli Osmanlliu	Ballroom
OR28	Clinical Features, Non-Contrast CT Radiomic and Radiological Signs in Models for the Prediction of Hematoma Expansion in Intracerebral Hemorrhage	Frank Chen	Ballroom
OR29	Development of a Multi-modal Machine Learning-Based Prognostication Model for Traumatic Brain Injury Using Clinical Data and Computed Tomography Scans	Pascal Tyrrell	Ballroom
OR30	Exploratory Analysis of Perfusion Index as a Screening Tool for Continuous Monitoring of Blood Pressure in Critically Ill Children	Mana Shahriari	Ballroom
OR31	Machine learning enables detection of Li-Fraumeni Syndrome using tumor whole-genome sequencing	Brianne Laverty	Ballroom
OR32	Pixels and Perspectives: Exploring Public Perceptions about AI-Generated Images of Children with Medical Conditions	Muhammed Mukadam	Ballroom
OR33	Prediction of Emergency Department Readmission among Child and Youth Mental Health Outpatients Using Deep Learning Techniques.	Simran Saggu	Ballroom
OR34	Relationship between Air Pollution and Crohn?s disease (CD) Risk and their relation to Biomarkers of CD risk	Jingcheng Shao	Ballroom
OR35	A Surgical Robot Simulation Framework for Reinforcement Learning to Automate Manipulation and Cutting Subtasks	Radian Gondokaryono	Kingsway
OR36	Classifier to predict drug cardiac activity using human stem cell-derived cardiac tissues	Julia Plakhotnik	Kingsway
OR37	Detecting Arrhythmogenic Right Ventricular Cardiomyopathy (ARVC) using Residual Neural Networks	Chris J. George, Sophie Sigfstead	Kingsway
OR38	Development and evaluation of a live birth prediction model for evaluating human blastocysts	Hang Liu	Kingsway
OR39	Echocardiogram Quality Enhancement with Vector Quantized Generative Adversarial Networks (VQ-GANs)	Alif Munim	Kingsway
OR40	Improving Mortality Prediction in People with Cardiovascular Disease: A Random Survival Forests Approach Integrating Frailty Assessment	Jack Quach	Kingsway
OR41	Novel Approaches in 12-Lead Electrocardiogram Signal Reconstruction	Yan Zhu	Kingsway
OR42	Obstacle detection for persons with visual impairments using AI-powered smart glasses	Haining Tan	Kingsway
OR43	Quality of Interaction Between Clinicians and Artificial Intelligence. A Systematic Review	Argyrios Perivolaris	Kingsway
OR45	A User-Centered Design Approach to an Artificial Intelligence-Enabled Electronic Medical Record in Canadian Primary Care	Krizia Francisco, Puneet Seth	Caledon
OR47	Bio-inspired modulation to enhance the robustness of deep learning models against healthcare data quality problems	Mohamed Abdelhack	Caledon
OR48	Deep Learning-Enabled Fluorescence Quantification for Surgical Guidance: Benefits Over Analytical Methods	Anjolaoluwa Adewale	Caledon
OR49	Development of an objective framework to optimize machine learning-based single-cell segmentation accuracy for multiplexed tissue cytometry	Trevor D. McKee, Mark Zaidi	Caledon
OR50	Improving Patch-based Segmentation for Pediatric Cancer Detection	Abhishek Moturu	Caledon
OR51	Innovative Detection of Diabetes Stigma in Digital Spaces with Large Language Models	Somayeh Amini, Mark Dayomi	Caledon
OR52	Multi-task Machine Learning of the Electronic Medical Record Predicts Future Symptoms among Cancer Patients	Baijiang Yuan	Caledon
OR53	Rapid Evolution of Artificial Intelligence in Medicine: Comparative Analysis of ChatGPT-3.5 and ChatGPT-4 in Generating Clinician-level Vascular Surgery Recommendations	Arshia Javidan	Caledon
OR54	Temporal validation of SEPERA to inform nerve-sparing strategy during radical prostatectomy and comparison against expert surgeons	Lauren Pickel	Caledon
OR55	Addressing class imbalance with data augmentation when training deep learning models to identify high quality clinical studies	Cynthia Lokker	Oakville
OR56	Applications of Artificial Intelligence to Improve Patient Experiences During Care Transitions: An Informal Review	Nicole Bodnariuc	Oakville
OR57	Associations between Sex, Race, and Sedation in Invasively Ventilated Patients	Sarah Walker	Oakville
OR58	Challenges in Expert Labeling of Data to Leverage Machine Learning to Support Physiotherapy in the ICU	Adriana Ieraci	Oakville
OR59	Clinical Outcome Prediction: Evaluating Quantization of Large Language Models	Raj Krishnan Vijayaraj	Oakville
OR60	Evaluating the Efficacy of Transformer Networks for Audio Signal Classification in Dysphagia Detection	Hamza Mahdi, Eptehal Nashnoush	Oakville
OR61	Patient and Stakeholder Engagement (PSE) in the Integration of Large Language Models (LLMs) in Healthcare Chatbots	Nikhil Jaiswal	Oakville
OR62	Prediction of Trauma Bay Disposition Using Explainable Machine Learning	Seong Park	Oakville
OR63	The use of large language models for therapeutic recommendations	Jean Marie Tshimula	Oakville
OR64	TxT -Toronto-Technion Treatment Curator	Melanie Courtot, Michael Fralick	Oakville