AI for Health Equity and Fairness

Leveraging AI to Address Social Determinants of Health

AvArash Shaban-Nejad,Martin Michalowski

Inbunden, Engelska, 2024

Del i serien Studies in Computational Intelligence

2 397 kr

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2024-08-23
Mått:155 x 235 x 24 mm
Vikt:658 g
Format:Inbunden
Språk:Engelska
Serie:Studies in Computational Intelligence
Antal sidor:306
Förlag:Springer International Publishing AG
ISBN:9783031635915

Utforska kategorier

Databaser inom Data och IT
Artificiell intelligens inom Data och IT
Biomedicinsk teknik inom Medicin

Innehållsförteckning

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 Parkinson’s 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.