Buch, Englisch, Band 16876, 410 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 639 g
Third International Conference, AIiH 2026, London, UK, August 26-28, 2026, Proceedings, Part II
Buch, Englisch, Band 16876, 410 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 639 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-032-35389-4
Verlag: Springer
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.Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
.- Trustworthy AI for Healthcare in Resource-Constrained Settings
.- LightFusionNet: A Lightweight Multimodal Fusion Framework Combining Facial Dynamics and rPPG Signals for Depression Severity Detection.
.- Evaluating Pneumonia Classification Robustness across Architectures under Variable-Quality Chest Radiographs.
.- Trustworthy On-Device Retinal Screening: A Distilled, Calibrated, and Explainable Model for Consumer Smartphones..
.- Explaining Unsupervised Disease Staging in Huntington’s Disease: Insights into Model Representations and Clusters.
.- Architectural Separation for Privacy-Preserving LLM-Assisted Nursing Handovers in Resource-Constrained Healthcare.
.- Early Real-World Clinical Evaluation of an AI-Enabled Decision Support System for Referral Triage in LMIC Primary Care.
.- Threat Overdose Syndrome: Overestimation of Model Poisoning Risks in Healthcare Federated AI.
.- Rethinking Diagnostic AI for Women’s Health in Resource-Constrained Settings.
.- From Explainability to Accountability
.- ClinAuditAI: Agentic AI for Clinical Guideline Adherence Auditing.
.- Multimodal Generative AI in Healthcare
.- From Segmentation to Scoring: Clinically-Aligned ASPECTS Prediction on NCCT Using Slice-Gated Loss.
.- Intelligent Predictive Virtual Healthcare: Agentic AI and Federated Learning for Smartwatches Enabled Healthcare Monitoring in Edge Cloud Networks.
.- From Dialogue to Feedback: A GMC-Aligned Generative AI Simulation Platform for Clinical Communication Training.
.- AI led personalised healthcare
.- RehabilitIA: Generative AI Agents for Personalized Aphasia Therapy in Spanish.
.- Explicit Prompting Unlocks Evidence Transfer in LLM-Generated Medical Risk Summaries.
.- Transition-Based Digital Twin Modelling for Alzheimer’s Disease under Sparse Longitudinal Data.
.- AI in Pharmacology: drug discovery and drug development
.- Auditable AI Governance for Algorithmically Mediated Self-Harm Risks: A Brazil--EU Digital Health Framework.
.- MambaDDI: A Hybrid State Space Framework for Multiclass Drug–Drug Interaction Prediction.
.- A Controlled Study of Tokenizer Scale in SMILES-Based Foundation Models.
.- Intelligent Systems & Robotics for Advanced Healthcare Solutions
.- Multisensor Wearable System for Human Limb Motion Monitoring: Design and Future Integration with Intelligent ALMATY-EXO Platforms.
.- 3D Printing in Wearable Rehabilitation Robotics: A Review and Development of the Modular ALMATY-EXO System.
.- Intelligent Robotic Rehabilitation for Pediatric Cerebral Palsy: From Assessment to Adaptive Exoskeleton Systems.
.- Intelligent Control Strategies for Pediatric Rehabilitation Exoskeletons: A Review and Practical Implementation.
.- AI-Empowered Functional Assessment of Ankle Joint Movements Using Marker-Based Kinematic Data in Controlled Condition.
.- Ambient Assisted Living Technology for Personalised Healthcare
.- Emotion Recognition in Older Adults’ Speech: Toward Empathetic Conversational AI in Ambient Assisted Living.
.- Are Older Adults Ready to Accept Voice Assistants as Artificial Companions? Exploring the Role of Prior Voice Assistant Experience.
.- AI Innovations in Autism Diagnosis
.- An Interpretable Dual Graph Autoencoder Framework for Resting-State fMRI Brain Graph Analysis.
.- Attention-Enhanced 3D CNNs for ASD Classification from Structural MRI: A Comparison with Transformer-Based Models.
.- Comparing A Priori and A Posteriori Areas of Interest in Dynamic Social Scenes: An Eye-Tracking Study of Visual Attention in Autism Spectrum Disorder.
