Artificial Intelligence in Healthcare
Springer International Publishing (Verlag)
978-3-032-00655-4 (ISBN)
The two-volume set constitutes the proceedings of the Second International Conference on Artificial Intelligence in Healthcare, AIiH 2025, which took place in Cambridge, UK, in September 2025.
The 60 full papers included in this book were carefully reviewed and selected from 83 submissions. They were organized in topical sections as follows: Health informatics, Personalised Healthcare, Robotics, Assisted Living Technology, Computational Medicine, Long-term Health Conditions, Maternity and Women s Health and Wellbeing.
.- 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
| Erscheinungsdatum | 24.07.2025 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science |
| Zusatzinfo | XVI, 420 p. 145 illus., 122 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Sozialwissenschaften | |
| Schlagworte | AI driven robotics for healthcare • Artificial Intelligence • early diagnosis • ethics of AI in healthcare • Healthcare, predictive intervention • Medcial Image and Signal Processing • patient data and privacy |
| ISBN-10 | 3-032-00655-4 / 3032006554 |
| ISBN-13 | 978-3-032-00655-4 / 9783032006554 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich
