Artificial Intelligence in Healthcare: Third International Conference, AIiH 2026, London, UK, August 26 28, 2026, Proceedings, Part II (Lecture Notes in Computer Science, 16876)

Ni, Hao (Editor)/ Cafolla, Daniele (Editor)

ISBN 10: 3032353890 / ISBN 13: 9783032353894

Published by Springer, 2026

About this Item

424 pages. 6.10x0.96x9.25 inches. In Stock.

Seller Inventory # x-3032353890

Bibliographic Details

• Title: Artificial Intelligence in Healthcare: Third International Conference, AIiH 2026, London, UK, August 26 28, 2026, Proceedings, Part II (Lecture Notes in Computer Science, 16876)
• Publisher: Springer
• Publication Date: 2026
• Language: English
• ISBN 10: 3032353890
• ISBN 13: 9783032353894
• Binding: Paperback
• Condition: Brand New
• Weight: 0.6 kilograms

About this title

Synopsis

This volume set, LNCS 16875-16877, constitutes the refereed proceedings of the third International Conference on Artificial Intelligence in Healthcare, AIiH 2026, held in London, UK, during August 26–28, 2026. The 101 full papers included in these proceedings were carefully reviewed and selected from 172 submissions. The papers were organized in topical sections as follows: 

Part I: Ethics of AI in healthcare; Patient data and privacy; Machine and deep learning approaches for health data; Predictive Analytics in Healthcare; AI driven early diagnosis and prevention; and AI driven proactive care and predictive intervention;

 

Part II: Trustworthy AI for Healthcare in Resource-Constrained Settings; From Explainability to Accountability; Multimodal Generative AI in Healthcare; AI led personalised healthcare; AI in Pharmacology: drug discovery and drug development; Intelligent Systems & Robotics for Advanced Healthcare Solutions; Ambient Assisted Living Technology for Personalised Healthcare; and AI Innovations in Autism Diagnosis;

 

Part III: Medical image analysis and processing; AI-aided medical imaging; AI in mental health; AI in proactive health management; Healthcare workflow optimisation and automation; and DoRa-PVS Challenge: The Domain Randomisation Challenge for Perivascular Space Segmentation.