The importance of effective clinical leadership has been reflected in an increase in leadership development programmes. However, there remains a lack of consensus regarding the optimal structure, content and evaluation of such programmes. This review...
In the dynamic landscape of modern healthcare, the rise of artificial intelligence (AI) is revolutionising leadership roles by challenging established skill sets. Effective integration of AI relies heavily on adept balancing of rapid technological ad...
British journal of hospital medicine (London, England : 2005)
Dec 19, 2025
Artificial Intelligence (AI) has the potential to enhance patient care in the UK's increasingly pressured healthcare system. As AI's applications in healthcare are expanding, healthcare professionals should understand the processes underpinning how A...
BACKGROUND: Computer perception (CP) technologies hold significant promise for advancing precision mental health care systems, given their ability to leverage algorithmic analysis of continuous, passive sensing data from wearables and smartphones (eg...
BACKGROUND: Building on the assertion that nearly every clinician will eventually use artificial intelligence (AI), this study provides a triangulated qualitative analysis of the requirements, challenges, and prospects for integrating AI into routine...
Recent advances in artificial intelligence have greatly increased the accuracy of computer-assisted diagnosis for serious conditions including brain tumours. However, concerns about data privacy, class imbalance, and the diversity of medical datasets...
Traditional methods for language assessment in psychiatric and neurological disorders, such as clinical scales, are time and resource intensive, and can be hampered by rater biases and subjectivity. These limitations can compromise their reliability ...
Healthcare is one of the domains in which artificial intelligence (AI) is already having a major impact. Of interest is the idea of the digital twin (DT), an AI-powered technology that generates a real-time representation of the patient's body, offer...
One of the significant barriers to the adoption of rehabilitation robotics into clinical care over the last 30 years has been the high investment costs of the technology. There have been limited efforts to understand the healthcare economics of imple...
The proliferation of Internet of Medical Things (IoMT) devices has created cybersecurity challenges that requiring advanced threat detection techniques along with preserving patient privacy. This paper introduces FedMedSecure, a federated few-shot le...
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