Personalised thrombo-embolic risk prediction after endometrial cancer surgery: an explainable AI approach using SHAP

Deep learning for stress oriented human activity recognition

IntroductionHuman Activity Recognition (HAR) using sensor-generated time-series data has gained significant attention for assessing mental and physical states to address various behavioral disorders. This study

Generative AI as a de facto mental health provider: a policy brief and urgent call for regulation

Generative AI platforms such as ChatGPT, Claude, and Gemini have become de facto mental health resources for millions of users worldwide, driven by accessibility, low

Artificial intelligence based predictive models for early sepsis detection in intensive care units: a scoping review

BackgroundEarly detection of sepsis in intensive care units remains a major clinical challenge. Artificial intelligence based predictive models have emerged as promising tools to support

A mobile intervention to reduce pain and improve health-III: protocol for a remotely delivered randomized controlled trial of physical activity for pain management in older adults with obesity and knee or hip osteoarthritis

As many as three in four older adults live with chronic pain, and osteoarthritis is a leading cause of chronic pain in older adults. Knee

Digital first primary care in NHS England: evaluating alignment with patient-centered care and implications for future practice

The Digital First Primary Care (DFPC) model, introduced by NHS England, aims to enhance healthcare accessibility and efficiency by leveraging digital tools such as telemedicine,