BookArash Shaban-Nejad, Martin Michalowski, Simone Bianco, editors
Summary: This book aims to highlight the latest achievements in the use of AI for improving Health Equity and Fairness. The edited volume contains selected papers presented at the 2024 Health Intelligence workshop, co-located with the Thirty-Eight Association for the Advancement of Artificial Intelligence (AAAI) conference, and presents an overview of the issues, challenges, and potentials in the field, along with new research results. This book provides information for researchers, students, industry professionals, clinicians, and public health agencies interested in the applications of AI in medicine and public health
Contents:
Artificial Intelligence for Personalized Care, Wellness and Longevity Research
Towards Personalised Patient Risk Prediction Using Temporal Hospital Data Trajectories
Ambulance Routing for Optimizing Stroke Patient Outcomes
Navigating the Synthetic Realm Harnessing Diffusion based Models for Laparoscopic Text to Image Generation
Generation of Clinical Skin Images with Pathology with Scarce Data
MILFORMER Weighted Dual Stream Class Centered Random Attention Multiple Instance Learning for Whole Slide Image Classification
Multi-Prompt Fine Tuning of Foundation Models for Enhanced Biomedical Image Segmentation
A Transformer Approach for Cognitive Impairment Classification
Deep Learning Approach to Identify Diabetic Retinopathy Severity and Progression Using Ultra Wide Field Retinal Images
DOST Domain Obedient Self supervision for Trustworthy Multi Label Classification with Noisy Labels
Using Large Language Models for Generating Smart Contracts for Health Insurance from Textual Policies
Can GPT Improve the State of Prior Authorization via Guideline Based Automated Question Answering
Designing Retrieval Augmented Language Models for Clinical Decision Support
Co morbidity Representation in Artificial Intelligence Tapping into Unused Clinical Knowledge
MedBlindTuner Towards Privacy preserving Fine tuning on Biomedical Images with Transformers and Fully Homomorphic Encryption
Knowledge Grounded Medical Dialogue Generation
Interpretable Classification of Early Stage Parkinsons Disease from EEG
Semantic and Visual Attention Driven Multi LSTM Network for Automated Clinical Report Generation
Hierarchical Multi Label Classification of Online Vaccine Concerns
A Semantic Architecture for Continuous Health Monitoring, Risk Prediction, and Proactive Decision Making
On the Feasibility of Multimodal Dialog Based Remote Balance Assessment
SAIC Integration of Speech Anonymization and Identity Classification