Latest AI and machine learning research in medicolegal for healthcare professionals.
High workload among general practitioners (GPs) poses a growing challenge to clinician well-being and care quality. Ambient scribes offer a potential solution, but evidence on their effectiveness is limited and largely overlooks the patient perspective. A prospective multicentre multi-perspective before-after longitudinal mixed-methods study with 12 GPs and GPs in training without prior experience...
The administration of gadolinium-based contrast agents (GBCAs) for acquiring contrast-enhanced T1-weighted magnetic resonance imaging (T1C MRI) is associated with potential safety risks, including tissue deposition and nephrogenic systemic fibrosis. This work aims to develop a deep learning framework for synthesizing high-fidelity T1C MRI directly from multi-parametric, non-contrast sequences, the...
As part of routine practice and documentation, emergency department (ED) clinicians routinely construct “one-liner” summaries—brief, information-rich ...
Generative artificial intelligence (GenAI) applications have been at the forefront of clinical documentation assistants, aiming to reduce physician no...
Polygenic predictors can enhance screening for biomedical conditions, such as metabolism-related traits and diseases, but explain limited phenotypic v...
UK ambulance services face record demand, resourcing challenges and rising clinical documentation burden. Ambient voice technology (AVT) coupled with ...
Deviations from normative brain ageing trajectories are linked to a wide range of adverse health outcomes. A number of brain age prediction models hav...
Cardiac fibrosis is a central pathological process in heart failure, yet the molecular mechanisms governing its spatial organization remain poorly def...
Use of coercive measures in psychiatric hospitals is clinically and ethically challenging. Aiming to support prevention, we developed and evaluated ma...
Estimating an individual’s liability to a disease is a fundamental problem in genome research. By exploiting findings from genome-wide association stu...
Opioid analgesics are widely prescribed for pain, yet individuals vary markedly in their patterns of medical opioid use, influencing the risk of prolo...
BACKGROUND: As medical technology advances, physicians' responsibilities in clinical practice continue to increase, with medical history documentation...
There is increasing medical interest and research regarding the potential of large language model-based virtual assistants in healthcare. It is import...
The application of additive manufacturing technologies for producing parts from polymer composite materials has gained significant attention due to th...
Large language models (LLMs) have brought exciting new advances to mobile UI agents, a long-standing research field that aims to complete arbitrary ...
Blockchain technology has emerged as a transformative tool for data management in a variety of industries, including fintech, research and healthcar...
Archaeological pottery documentation and study represents a crucial but time-consuming aspect of archaeology. While recent years have seen advances ...
Fused Deposition Modeling (FDM) is a widely used additive manufacturing (AM) technique valued for its flexibility and cost-efficiency, with applicat...
Automating radiology report generation can significantly reduce the workload of radiologists and enhance the accuracy, consistency, and efficiency o...
With the introduction of data protection regulations, the need for innovative privacy-preserving approaches to process and analyse sensitive data ha...