Coronary artery disease diagnosis with signal processing and machine learning of heart sound signals: a systematic review

Development and Evaluation of a Hallucination Awareness Scale for Healthcare Professionals and its impact on diagnostic confidence

Generative artificial intelligence (Gen AI) has gained immense significance in recent years, particularly in the field of healthcare. Despite its significant role in streamlining healthcare-related

Digital health literacy and sociodemographic characteristics of patients undergoing total hip or knee arthroplasty—a cross-sectional study

BackgroundDigital solutions may increase sustainability in healthcare for patients undergoing total hip or knee arthroplasty (THA, TKA). Little information exists on these patients’ digital health

Implementing AI innovation in radiology departments in the English NHS: a qualitative study on the experiences of professionals, patient groups and innovators

IntroductionDigital solutions and Artificial Intelligence (AI) innovations are often presented as the answer to many challenges faced by healthcare systems around the world. The UK

Development and interpretable machine learning models for classification of pancreatic pseudocyst risk in acute pancreatitis

IntroductionPancreatic pseudocysts (PPC) are a late local complication of acute pancreatitis (AP). Persistent PPC carry a high risk of severe outcomes. Existing models, which are

Planning and delivering co-creation workshops: practical lessons from digital health device design

Co-creation methods are increasingly recognised as essential in digital health and care, yet engineers and physical scientists new to the field often find the literature