1. Home
  2. Poster Session

Poster Abstracts and Locations

Please Note: 

1. If you have BILH OneDrive app installed on your Android devices, please follow the steps HERE.

2. If it's your first time to login on your mobile device, click on Presenter Name and login. PDF will be opened in a new tab, close the tab (Don't click on the back arrow (<) if you see on your mobile device). You will then be taken back to the web page and can use the back arrow (<) as usual. 

 

Print/View Poster Abstracts in Excel

Presenter Name Poster # Board # Poster Title Room Location PI
Aman Mohapatra TRACK 1A - 01 1 System Wide Implementation of a Large Language Model Workflow for Colonoscopy Recall Inference  Ground Floor Lobby  Joseph Feuerstein 
Micaela Tobin TRACK 1A - 02 2 A Multimetric Health Literacy Analysis of Phalloplasty Techniques:Comparing Artificial Intelligence and Online Resource Ground Floor Lobby  Ryan P. Cauley
Juan E. Small TRACK 1A - 03 3 AI-Augmented Assessment of Multisequence MRIs for Alzheimer’s Disease and Related Dementias Ground Floor Lobby  Juan E. Small, Vijaya Kolachalama
Tarbia Hamid TRACK 1A - 04 4 Evaluating AI-Driven Responses in Breast Reconstruction: A Comparative Study of Response Formats Ground Floor Lobby  Ted James
Tricia Mae Raquepo TRACK 1A - 05 5 Leveraging ChatGPT as a Learning Tool for Medical Students in Plastic and Reconstructive Surgery Ground Floor Lobby  Ryan P. Cauley
Jossie Carreras Tartak TRACK 1A - 06 6 Prevalence of Non-English Discharge Instructions for Patients with Limited English Proficiency in the Emergency Department Ground Floor Lobby   
Yuri Quintana TRACK 1A - 07 7 AI-Powered Chatbot for Personalized Medication Information in Oncology Ground Floor Lobby  Yuri Quintana
Catherine DesRoches TRACK 1A - 08 8 Harnessing AI for Patient Engagement: A Study on Large Language Models and Open Notes Ground Floor Lobby  Catherine DesRoches
Mahsa Alborzi Avanaki TRACK 1A - 09 9 Introducing the Team Card: Enhancing Governance for Medical Artificial Intelligence (AI) Systems in the Age of Complexity Ground Floor Lobby  Donnella Comeau
Belen Rivera TRACK 1A - 10 10 Transparency in Kidney Transplant Recipient Selection Criteria: A Nationwide Analysis Using AI Ground Floor Lobby  Aditya Pawar / Devin Eckhoff
James Fanning TRACK 1A - 11 11 Improving Readability and Automating Content Analysis of Plastic Surgery Webpages with ChatGPT Ground Floor Lobby  Dhruv Singhal
Ted Fitzgerald TRACK 1A - 12 12 AI-Powered Epic Tip Sheets Chat  Ground Floor Lobby  Venkat Jegadeesan
Andrew Lee TRACK 1A - 13 13 Implementing AI/ML in Radiology: Enhancing Patient-Centered Care and Clinical Workflow Ground Floor Lobby  Jalil Afnan
Ayush Tripathi TRACK 1A - 14 14 Pediatric Sleep Staging with U-Sleep: A Study on Boston Children’s Hospital Polysomnography Dataset Ground Floor Lobby  Michael Brandon Westover
Anuranita Gupta TRACK 1A - 15 15 Insights on Artificial Intelligence for Venous Thromboembolism Ground Floor Lobby  Rushad Patell
Phuc Nguyen TRACK 1A - 16 16 Diversity via the greylock Python Package Ground Floor Lobby  Ramy Arnaout
Daniela Lee TRACK 1A - 17 17 Artificial Intelligence Image Generation as a Tool for Classifying Scar Pathology Across Skin Tones: A Scoping Review Ground Floor Lobby  Samuel J. Lin
Griffin Weber TRACK 1A - 18 18 1000 Computational Phenotypes: Scalable Automated AI/ML Phenotyping in BILH i2b2  Ground Floor Lobby  Griffin Weber
Stephen Woloszynek TRACK 1A - 19 19 A Semi-Supervised Large Language Model Approach to Classify and Interpret Delirium Events Ground Floor Lobby  Maximilian Schaefer
Presenter Name Poster # Board # Poster Title Room Location PI
Pensier Joris TRACK 2A - 01 20 Temporal Stability of Inflammatory Subphenotypes of Acute Respiratory Distress Syndrome: A K-Means Clustering Analysis Ground Floor Lobby  Maximilian Schaefer
Konstantinos Stefanakis TRACK 2A - 02 21 Accurate Non-invasive Detection of Metabolic Dysfunction-Associated Steatohepatitis with Fibrosis Stages F2-F3 using Lightweight Clinical and Metabolomics-Based Categorical Gradient Boosting Models: a First-in-Class Approach in the New FDA Guidelines Era Ground Floor Lobby  Christos S. Mantzoros
Ava Homiar TRACK 2A - 03 22 Evaluating the Feasibility and Acceptability of Digital Technology Use in Individuals with Schizophrenia Ground Floor Lobby  Yuri Quintana
Haadi Mombini TRACK 2A - 04 23 Radiology Prediction with AI Ground Floor Lobby  Venkat Jegadeesan
Abhishek Singh TRACK 2A - 05 24 Decentralized Learning for DNA Methylation Analysis: A Privacy-Preserving Framework for Heterogeneous Data Integration Ground Floor Lobby  Tamar Sofer
Gyongyi Szabo / Jonathan Dreyfuss  TRACK 2A - 06 25 Small-RNA Profiling of Plasma and Extracellular Vesicles in Alcohol-Associated Hepatitis Patients: Insights into Disease Mechanisms and Biomarkers using Machine Learning Ground Floor Lobby  Gyongyi Szabo
Presenter Name Poster
#		 Board
#		 Poster Title Room Location PI
Matthew Ning TRACK 1B - 01 27 Prediction of Postoperative Delirium in Older Adults from Preoperative Cognition and Occipital Alpha Power from Resting-State Electroencephalogram Pechet Room  Mouhsin Shafi
Mohammed Yamin TRACK 1B - 02 28 Machine Learning to Predict the Risk of Postoperative Wound Complications in Open Spine Surgery: A Prediction Model for High-risk Patients Pechet Room  Ryan P. Cauley
Diego Trujillo TRACK 1B - 03 29 SAFE-AI: A Medically Grounded AI Method to Identify Patient Safety Events in Healthcare Pechet Room  Jeanne-Marie Guise
Leah Kosyakovsky TRACK 1B - 05 30 ICD Codes vs NLP for Heart Failure Adjudication in the EHR Pechet Room  Jennifer Ho
Yana Hrytsenko TRACK 1B - 06 31 A Machine Learning Model for Predicting Hypertension using Gene-Based Polygenic Risk Scores and Lifestyle Factors Pechet Room  Tamar Sofer
Gabriel Erion Barner TRACK 1B - 08 32 Combining a Machine Learning Predictive Model with Clinician Gestalt Identifies Older ED Patients with High Six-Month Mortality Risk Pechet Room  Adrian Haimovich
Brian Li TRACK 1B - 09 33 Using an Artificial Intelligence-Powered Pancreatic Cyst Safety Net to Assess Differences in Pancreatic Cyst Management Guidelines Pechet Room  Joseph Feuerstein
Tina Yi Jin Hsieh TRACK 1B - 10 34 Integration of Clinical Knowledge-Informed, Rule-Based Ontology with LinkML and Large Language Models for Safety Event Detection in Electronic Records: The RescueGPT Approach Pechet Room  Jeanne-Marie Guise
Walid Yassin TRACK 1B - 11 35 Cognitive Subtypes in the Clinical High Risk for Psychosis Population Pechet Room  Walid Yassin
Mara Kunst TRACK 1B - 12 36 So is it Alzheimer’s or Not? Assessing the Added Value to Volumetric Software for Dementia Diagnosis in the
Age of CSF Biomarkers and Lecanamab.		 Pechet Room  Mara Kunst 
Niels Turley TRACK 1B - 13 37 Multimodal Sleep Physiology for Predicting Health Outcomes: A Multi-Center Retrospective Cohort Study Pechet Room  Brandon Westover
Josiah Couch TRACK 1B - 14 38 Diversity and Dataset Quality Pechet Room  Ramy Arnaout
Ruben Oganesyan TRACK 1B - 15 39 Refining Hotspot Identification in KI67 Proliferation Index Assessment: QuPathalgorithm vs Manual. Pechet Room  Monica Vyas
James Devanney TRACK 1B - 16 40 ICU DISPO: Intensive Care Unit Data-informed Intubation Scoring for Predicting Personalized Outcomes  Pechet Room  James Devanney, Leo Celi
Presenter Name Poster
#		 Board
#		 Poster Title Room Location PI
Kristyn Beam TRACK 2B - 01 41 NeoCLIP: A Self-Supervised Foundation Model for the Interpretation of Neonatal Radiographs Pechet Room   
Mohamed Aboseria TRACK 2B - 02 42 A Machine Learning Object Detection Approach to Reducing Occupational Radiation Exposure Pechet Room  Seth Berkowitz
Pin-Yu Lin TRACK 2B - 03 43 High-Specificity EfficientNet-B0 U-Net for Reliable Cerebral Microbleed Detection in QSM MRI Pechet Room  Salil Soman
Jean Filo TRACK 2B - 04 44 Development of the First Externally Validated Brain Aneurysm Detection AI Platform for CT Angiography Scans Reporting Generalizable Performance Pechet Room  Christopher Ogilvy
Duncan Flynn TRACK 2B - 05 45 Development of an Artificial Intelligence-Based Safety Net for Pancreatic Cyst Surveillance  Pechet Room  Joseph Feuerstein
Radhika Deshpande TRACK 2B - 06 46 Advancing Automated Adipose Tissue Segmentation with Magnetic Resonance Imaging and Artificial Intelligence Pechet Room  Connie W. Tsao
Chi-Yuan Chang TRACK 2B - 07 47 Generation of Synthetic Interictal Epileptiform Discharges: A Biophysiological Modeling Approach  Pechet Room  Daniel Goldenholz
Assel Talaspayeva TRACK 2B - 08 48 Development and Validation of AI Models for Ultrawide Field Red-Green (RG) and Red-Green-Blue (RGB) Retinal Imaging in Diabetic Retinopathy. Pechet Room  Mohamed Elmasry
Ron Alkalay TRACK 2B - 09 49 Automated Segmentation of Trunk Musculature with Deep CNNs Trained from Sparse Annotations in Radiation Therapy Patients with Metastatic Spine Disease Pechet Room  Ron Alkalay
Bhargav Makwana TRACK 2B - 10 50 Harnessing Artificial Intelligence to Predict Atrial Fibrillation in Sinus Rhythm Patients Using 12 Lead Electrocardiograms: A Systematic Review and Meta-Analysis Pechet Room  Sarju Ganatra 

The BILH Artificial Intelligence and Machine Learning (AI/ML) Symposium welcomes all BILH researchers and clinicians who are at the forefront of innovation and development of AI/ML for patient care and healthcare research. 

Abstract submission (no more than 500 words) is open to any BILH clinician or researcher currently engaged in AI/ML research.

Please follow below instructions to submit the abstract:

  • Deadline: Abstract Submission deadline is extended to: 5PM, Dec 4, 2024. 
  • Ownership: You must be the primary investigator and from the primary lab conducting the work that was submitted. Work led or primarily done by collaborators at non-BILH institution will not be showcased at this event 
  • Maturity of Technology: For submission, projects should already be ongoing and have preliminary results or be completed. Projects still in the ideation phase would not be appropriate for this event.
  • Review Process: All abstracts will be reviewed by the scientific committee. All fields are compulsory and critical for the scientific-committee to review your science against the below specified ‘rank-criteria’.  Please remember only shortlisted abstracts, based on the scientific committee’s reviews, will be invited to present their poster at the symposium.

  • Rank-Criteria: Please ensure your abstracts include all Five Components clearly:

    • Relevance to Symposium Theme 20%
      • Abstract aligns with the symposium’s focus on AI, ML, and healthcare advancements
    • Innovation and Originality 20%
      • The abstract presents novel concepts, methods, or applications of AI/ML in healthcare
    • Approach 20%
      • Abstract demonstrates a clear, well-supported argument with sound methodology or technical approach     
    • Impact on Healthcare/Significance 30%
      • The potential of the project to significantly advance healthcare practices, patient outcomes, or research     
    • Ethical and Responsible AI Considerations 10%
      • The abstract acknowledges ethical challenges or considerations in using AI/ML in healthcare
         
  • In addition, shortlisted abstracts will be checked by Technology Ventures Office (TVO) to avoid public disclosure of invention if there is potential for patent filing. Such abstracts may be discussed with authors for recall or necessary edits at poster-stage, if TVO determines the risk of disclosure in presenting at the event. 

Please Note:

  • Notice of Invitation to the poster presenter will be sent out by December 31, 2024.
  • We will be using e-Poster. Presenters will be provided the poster layout, format, dimension, and any other required information to prepare upload their posters
  • Spaces are limited for poster presentations. If your abstract is accepted and you are invited to present, you must confirm that you will be present at the Symposium on 10th February and ready to present your poster.

 

Our BILH Partners and Community

Back to Top ^