Buch, Englisch, Band 16875, 641 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 984 g
Third International Conference, AIiH 2026, London, UK, August 26-28, 2026, Proceedings, Part I
Buch, Englisch, Band 16875, 641 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 984 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-032-35386-3
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
.- Ethics of AI in healthcare .- Resampling for Clinical Predictions: Balancing Subgroup Utility, Calibration, and Explanation Stability. .- A Safety Verification Framework for AI-Driven XR Clinical Simulators. .- Beyond Trustworthy AI: Unstable Trust, Mental Health AI, and Proof Infrastruc-tures in Healthcare Governance. .- Patient data and privacy .- Per-Patient Shapley Explanations Fail Silently Under Federated Privacy — and Warm-Start Restores Them. .- A Pipeline for Evaluating Context-Aware Privacy Risk in Synthetic Healthcare Narratives. .- Machine and deep learning approaches for health data .- Graph Priors Improve Seizure Onset Zone Identification in a Graph Convolutional Network of StereoEEG. .- Learning Cardiac Features: ECG Biometrics Across Time and Exercise. .- ClinTrialCQA: Benchmarking Corpus Scale Question Answering Over Clinical Trial Protocols. .- DINO-Med: A Unified Patch-Based Adaptation Framework for Multi-Modal Medical Image Analysis Applied to Liver Fibrosis Staging. .- Cross-Attention Fusion Improves Time-Series Foundation Model Performance in Short Horizon Forecasting Tasks in Data-Sparse Environments. .- Empirical investigation of 3D CT Foundation Models and Unsupervised Adaptation for Head and Neck Cancer Recurrence Prediction. .- Parameter-Efficient Multi-Task Learning for Biomedical Abbreviation Disambiguation. .-FedPhysio-Adapter: Federated CGM Forecasting with Physiology-Aware Adapters and Conformal Deferral .- Causal Analysis of Parkinson’s Motor Symptoms Using Structured Smartphone Accelerometer Data. .- Orthogonal Array-Based Feature Selection for Traumatic Brain Injury Prognosis: A Metaheuristic Benchmarking Framework. .-Uncertainty-Weighted Multi-Task Learning for Early Prediction of Functional Outcome and Length of Stay in Traumatic Brain Injury. .- A Generative AI Approach for Addressing Skin Tone Imbalance in Dermoscopic Datasets: A Feasibility Study. .- Multimodal Data Fusion with Federated Multi-Head Attention for Diabetic Retinopathy Severity Classification. .- The Impact of Temporal Harmonization on Patient Trajectory Analysis in Multiple Sclerosis. .- Standardizing Lightweight Neural Adaptation of Pathology Foundation Models for Gene Mutation Prediction. .- MvSG-MI: Multi-View Spectral Graph Learning with Temporal Segmentation for Motor Imagery EEG Classification. .- Predictive Analytics in Healthcare .- Pharmacokinetic State Space Models for Unbiased Prediction of Haemodynamic Collapse. .- Tabular Foundation Models for Clinical Survival Analysis via Survival-Aware Adaptation. .- Make better use of LOS prediction via a subgroup discovery: estimation in an Emergency Department. .- SynthEquity: A Privacy-Preserving Computational Framework for Identifying and Mitigating Medical Deserts Using Generative AI. .- Beyond Discrimination: Calibration and Decision Curve Analysis for 12-Month Survival Prediction After Liver Transplantation — A Retrospective Evaluation. .- Peak-Aware Two-Stage LSTM Forecasting of Patient Arrivals in Welsh Emergency Departments. .- Do More Modalities Really Help? Evidence from Controlled Multimodal Clinical Prediction. .- Controlling for Confounding Bias in Linear Prediction Models for Binary Classification. .- Ontology-Constrained Interpretable Path Exploration for Clinical Knowledge Discovery across Traditional Chinese Medicine and Modern Biomedicine. .- AI driven early diagnosis and prevention .- Multi-Source Knowledge Graph RAG for LLM-Based Medical Diagnosis. .- NCD-CIE: A Causal-Informed Clinical Decision Support System with LLM Augmentation for Non-Communicable Disease Healthcare. .- Bridging the Data Gap: A Hybrid Data Augmentation Approach for Early HIV Screening via Dialogue Classification. .- Evaluating Counterfactual Explanations in AI-Based Decision Support for Type 2 Diabetes Prevention: A Qualitative Expert Study. .- Longitudinal Brain MRI and Cognitive Trajectories for Dementia Risk Stratification. .- DocAgent-XAI: An Entropy-Guided Agentic RAG System for Adaptive and Explainable Clinical History-Taking. .- A Multimodal AI-driven Pipeline for Variant Prioritization in Genetic Disorders: Integrating Genomic and Phenotypic Data. .- FastAPI-Based AI Prototype for Privacy-Preserving Keystroke Analysis in Parkinson’s Detection. .- Image-based Survival Prediction of Lung Cancer. .- Condition-Specific Structural Heart Disease Screening from ECG Features: An Interpretable Binary Relevance Machine Learning Analysis. .- Achieving Fair Skin Lesion Detection through Skin Tone Normalization and Channel Pruning. .- Hybrid Sampling with Structured-Text Features for Chronic Pain Prediction in Cognitive Impairment. .- AI driven proactive care and predictive intervention .- From Accuracy to Reliability: AI-Based Respiratory Mechanics Estimation under Noise and Clinical Variability. .- Leveraging CNN-Based Cataract Detection for Remote Screening: A Mixed-Methods Feasibility Study in Ghana. .- Glaucoma and Age-Related Macular Degeneration Detection through Deep Learning: A Comparative Study of AI-Guided Methodologies.
