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| Link zu diesem Datensatz | https://d-nb.info/1382165781 |
| Titel | Artificial Intelligence in Healthcare : Second International Conference, AIiH 2025, Cambridge, UK, September 8–10, 2025, Proceedings, Part I / edited by Daniele Cafolla, Timothy Rittman, Hao Ni |
| Person(en) |
Cafolla, Daniele (Herausgeber) Rittman, Timothy (Herausgeber) Ni, Hao (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2026 |
| Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2026 |
| Umfang/Format | Online-Ressource, XVI, 436 p. 123 illus., 111 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-032-00651-6 Printed edition:: ISBN: 978-3-032-00653-0 |
| Inhalt | -- Ethics of AI in healthcare -- Empirical Study of Social Bias in Medical Question Answering via Large Language Models. -- Prompt Injection is All You Need: A Systemic Framework for Evaluating Healthcare Misinformation in LLMs. -- Early diagnosis and prevention -- Beyond Accuracy: Enhancing Parkinson’s Diagnosis with Uncertainty Quantification of Machine Learning Models. -- Feature extraction from medical records to increase the accuracy of intracranial aneurysm rupture likelihood. -- Automated Gross Tumor Volume Segmentation in Meningioma Using Squeeze and Excitation Residual U-Net for Enhanced Radiotherapy Planning. -- Ensemble Models for Real-Time Fetal Monitoring Using Discrete Segmentation of Cardiotocography. -- Knowledge Distillation for Computationally Tractable Brain Tumour Segmentation in Sub-Saharan Africa. -- MICA: A Multimodal Intelligent Cognitive Assessment Framework Integrating Generative AI and Social Robot for Early Cognitive Intervention. -- Transfer Learning-Based Classification of Diabetic Retinopathy Using a Pre-trained InceptionResNet Model. -- Markers of Fibromyalgia: Classification and Subtyping Using Self-Reported Measures. -- Early objective ASD screening system based on eye tracking and machine learning. -- Proactive care and predictive intervention -- Performance comparison of machine learning models for the prediction of dialysis treatment variables. -- Dynamic and explainable mortality risk prediction for TBI patients in the ICU. -- Opportunistic Screening of Osteoporosis from Dental Panoramic Radiographs using Deep Learning. -- Speech Breathing Under Cognitive Load: A Pilot Study of English and Arabic Bilingual Adaptation Using the Helicopter Task. -- Affective State and Pain Estimation through Facial Emotion Analysis. -- Adaptive Biofeedback for Digital Physiotherapy Using Sakoe-Chiba Constrained Pose Matching. -- Predictive analytics in healthcare -- Translating Genes into Insight: Causal Genomics for Diabetes Risk Prediction. -- A machine learning-based surrogate model of a hemodialyzer for the prediction of the urea dialyzer clearance. -- Multimodal generative AI -- CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation. -- DiabEye-Q: AI-driven Longitudinal Analysis of Ophthalmoscopic Images for Early Diabetes Prediction in Qatari Adults. -- Healthcare workflow optimisation and automation -- Concept Type Prompt Patterns for Automated Medical Reporting in Healthcare. -- Exploring applicability of Text-to-Image models for generating aphasia rehabilitation material. -- Evaluating the feasibility of using smaller Large Language Models for generating impressions from findings in radiology reports. -- Machine and deep learning approaches for health data -- A Comparison of Potentials and Limitations of Transformer Models for Aspect-based Medical Sentiment Analysis. -- Intelligent Blood Product Management in Hospital: A Data-Driven Model for Optimizing Platelet Inventory. -- High-Confidence Labelling of Pathology Reports using LLM-Based Unanimous Ensembles with Limited Data. -- Physicochemical-Based Deep Learning for Allergenicity Prediction. -- Multi-Modal Deep Learning with Spatial Transformers for Biparametric MRI Prostate Cancer Classification. -- BCONDS: Borderline Counterfactual Oversampling with Noise elimination and Density Scoring. |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2511210307436.582493610626 DOI: 10.1007/978-3-032-00652-3 |
| URL | https://doi.org/10.1007/978-3-032-00652-3 |
| ISBN/Einband/Preis | 978-3-032-00652-3 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes in Computer Science ; 16038 |
| Sachgruppe(n) | 004 Informatik |
| Online-Zugriff | Archivobjekt öffnen |
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