Artificial Intelligence in Healthcare

.- 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.