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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
| 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 |
| Autore | Cafolla Daniele |
| Edizione | [1st ed. 2026.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
| Descrizione fisica | 1 online resource (622 pages) |
| Disciplina | 006.31 |
| Altri autori (Persone) |
RittmanTimothy
NiHao |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Machine learning
Image processing - Digital techniques Computer vision Information technology - Management Artificial intelligence Machine Learning Computer Imaging, Vision, Pattern Recognition and Graphics Computer Application in Administrative Data Processing Artificial Intelligence |
| ISBN | 3-032-00652-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- 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. . |
| Record Nr. | UNISA-996673175503316 |
Cafolla Daniele
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Intelligence in Healthcare : Second International Conference, AIiH 2025, Cambridge, UK, September 8–10, 2025, Proceedings, Part II / / edited by Daniele Cafolla, Timothy Rittman, Hao Ni
| Artificial Intelligence in Healthcare : Second International Conference, AIiH 2025, Cambridge, UK, September 8–10, 2025, Proceedings, Part II / / edited by Daniele Cafolla, Timothy Rittman, Hao Ni |
| Autore | Cafolla Daniele |
| Edizione | [1st ed. 2026.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
| Descrizione fisica | 1 online resource (591 pages) |
| Disciplina | 006.31 |
| Altri autori (Persone) |
RittmanTimothy
NiHao |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Machine learning
Image processing - Digital techniques Computer vision Information technology - Management Artificial intelligence Machine Learning Computer Imaging, Vision, Pattern Recognition and Graphics Computer Application in Administrative Data Processing Artificial Intelligence |
| ISBN | 3-032-00656-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Machine and deep learning approaches for health data -- Decoding the Stressed Brain with Geometric Machine Learning -- Integrating Rule-Based eGFR Labels with Expert GP Annotations: A Multi-Method Framework for CKD Classification. -- GNN's Uncertainty Quantification using Self-Distillation. -- Safeguarding Privacy for Medical Data with a Novel Key-Lock Module in Federated Learning. -- A Bayesian Framework for Multi-Layered Gene Regulation: Integrating Expression Data with Curated Knowledge. -- Maternity and women’s health and wellbeing -- Leveraging Pretrained Language Models for Maternal Health Monitoring in Online Communities. -- Patient-Centred Explainability in IVF Outcome prediction. -- From Clinic to Code: Using Clinician Insights to Develop a Framework for Fair and Representative Datasets in Women's Health AI. -- Assisted living technology -- Investigating the Applicability of Gait-based Health Assessment in a Domestic Environment. -- Evaluating Personalised Beneficial Interventions in the Daily Lives of Older Adults Using a Camera. -- Enhanced Sparse Point Cloud Data Processing for Privacy-aware Human Action Recognition. -- AI in mental health -- Unmasking the Algorithm: Bridging Innovation and Ethics in AI-Enabled Psychological Care. -- Hybrid Depression Detection from Spontaneous Speech via RFE‑Majority Voting and WavLM‑Based Attention. -- Breathalyzer as a Remote Monitoring and Support System for AUD: Early Findings on Dropout and Relapse Prediction Using Machine Learning. -- Intelligent systems and robotics -- Human-centred Design of AI-Driven Robots for Healthcare in a Global Context: a Case Study of AIREC (AI-driven Robot for Embrace and Care). -- Development of an Adaptive Foot Prosthesis with an Elastic Element and Shock-Absorbing Sole Without the Use of Electric Actuators. -- A protocol for analysing ankle motion data: a standardized approach to kinematic assessment. -- AI in echocardiography -- Spatiotemporal Contrastive Learning for Echocardiography View Classification. -- Robustness of Human vs. AI Measurements Under Progressive Image Degradation. -- Deep Learning for Assessing Rotational Misalignment in Echocardiographic Imaging. -- A Clinician-Centred Interface for AI-Powered Echocardiographic Image Quality Feedback. -- Medical signal and image processing -- Domain-Aligned OCT Pre-training: Enhancing Retinal Disease Diagnosis Through Cross-Anatomy Vision Transformers. -- Graph Convolutional Neural Networks to Model the Brain for Insomnia. -- Classification-to-Segmentation: Class Activation Mapping for Zero-Shot Skin Lesion Segmentation. -- Skin Lesion Hybrid Classification and Segmentation based on Extracted Deep Features. -- Enhancing Cardiac Cell Networks Segmentation via Hybrid Supervised and Zero-Shot Strategies. -- Detection of multiple cardiac disorders based on heartbeat morphology and time segment analysis of ECG signals. -- Robust Windowing Harmonisation for Improved Cross-Scanner Generalisation of White Matter Hypoattenuation Segmentation in Brain CT Clinical Scans. -- Vision Transformers for Interpreting ECG Diagrams. -- Categorizing acquisition intervals from whole-brain MEG functional connectivity. . |
| Record Nr. | UNISA-996673175103316 |
|
Cafolla Daniele
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||