
Teil der Reihe: Springer Nature Proceedings Computer Science
Artificial Intelligence in Healthcare
Third International Conference, AIiH 2026, London, UK, August 26-28, 2026, Proceedings, Part I
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Inhaltsangabe
.- 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.
Produktdetails
- Erscheinungsdatum: 11.08.2026
- Autor/Autorin: Hao Ni
- Format: E-Book
- Dateiformat: PDF
- Kopierschutz: Wasserzeichen
- Dateigröße: 49.4 MB
- Verlag: SPRINGER
- Sprache: Englisch
- Umfang: 641 Seiten
- ISBN: 9783032353870
- Lieferung: Sofort per Download
- Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
- Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.
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Artificial Intelligence in Healthcare
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