Search results for ""Author Arash Shaban-Nejad""

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 Gene

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This book aims to highlight the latest achievements in the use of artificial intelligence for digital disease surveillance, pandemic intelligence, as well as public and clinical health surveillance. The edited book contains selected papers presented at the 2021 Health Intelligence workshop, co-located with the Association for the Advancement of Artificial Intelligence (AAAI) annual conference, and presents an overview of the issues, challenges, and potentials in the field, along with new research results. While disease surveillance has always been a crucial process, the recent global health crisis caused by COVID-19 has once again highlighted our dependence on intelligent surveillance infrastructures that provide support for making sound and timely decisions. This book provides information for researchers, students, industry professionals, and public health agencies interested in the applications of AI in population health and personalized medicine.

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