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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
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
Educational Governance in China / / by Ming Yang, Hao Ni
Educational Governance in China / / by Ming Yang, Hao Ni
Autore Yang Ming
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (338 pages)
Disciplina 344.5107
Soggetto topico Education and state
Schools
Educational tests and measurements
Educational Policy and Politics
School and Schooling
Assessment and Testing
ISBN 9789811308420
981130842X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Defining Educational System -- 2. Pursuing Good Governance: Educational Administration System in China -- 3. Increasing Education Vigor: Internal Management System in Schools in China -- 4. Engaging Social Actors: Educational Provision System in China -- 5. Strengthening Educational Autonomy: Educational Enrollment System in China -- 6. Moving towards Market Orientation: the System of Employment in China -- 7. Expanding the Channels: Education Financing System in China -- 8. Balancing between Social Equality and Meritocracy: the System of Examination in China -- 9. Aiming at School Improvement: Educational Evaluation System in Primary and Secondary Schools -- 10. Ensuring Higher Education Performance: Quality Assurance System of Higher Education in China.
Record Nr. UNINA-9910299538503321
Yang Ming  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui