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Towards conversational diagnostic artificial intelligence.
Nature
Apr 9, 2025
At the heart of medicine lies physician-patient dialogue, where skillful history-taking enables effective diagnosis, management and enduring trust. Artificial intelligence (AI) systems capable of diagnostic dialogue could increase accessibility and q...
Generating evidence to support the role of AI in diabetic eye screening: considerations from the UK National Screening Committee.
The Lancet. Digital health
Apr 3, 2025
Screening for diabetic retinopathy has been shown to reduce the risk of sight loss in people with diabetes, because of early detection and treatment of sight-threatening disease. There is long-standing interest in the possibility of automating parts ...
Improved prediction and risk stratification of major adverse cardiovascular events using an explainable machine learning approach combining plasma biomarkers and traditional risk factors.
Cardiovascular diabetology
Apr 2, 2025
BACKGROUND: Cardiovascular diseases (CVD) remain the leading cause of morbidity and mortality globally. Traditional risk models, primarily based on established risk factors, often lack the precision needed to accurately predict new-onset major advers...
Public Awareness of and Attitudes Toward the Use of AI in Pathology Research and Practice: Mixed Methods Study.
Journal of medical Internet research
Apr 2, 2025
BACKGROUND: The last decade has witnessed major advances in the development of artificial intelligence (AI) technologies for use in health care. One of the most promising areas of research that has potential clinical utility is the use of AI in patho...
Plasma Proteomic Profiles Predict Individual Future Osteoarthritis Risk.
Arthritis & rheumatology (Hoboken, N.J.)
Mar 20, 2025
OBJECTIVE: Osteoarthritis (OA) is a widespread degenerative joint disease that causes a considerable socioeconomic burden. Despite progress in genetic and environmental insights, early diagnosis is still limited by the lack of evident symptoms during...
Identification of heart failure subtypes using transformer-based deep learning modelling: a population-based study of 379,108 individuals.
EBioMedicine
Mar 19, 2025
BACKGROUND: Heart failure (HF) is a complex syndrome with varied presentations and progression patterns. Traditional classification systems based on left ventricular ejection fraction (LVEF) have limitations in capturing the heterogeneity of HF. We a...
Identifying novel risk factors for aneurysmal subarachnoid haemorrhage using machine learning.
Scientific reports
Mar 18, 2025
Aneurysmal subarachnoid haemorrhage (aSAH) is a type of stroke with high mortality and morbidity. This study aimed to identify novel aSAH risk factors by combining machine learning (ML) and traditional statistical methods. Using the UK Biobank, we id...
Exploring the application of deep learning methods for polygenic risk score estimation.
Biomedical physics & engineering express
Mar 13, 2025
. Polygenic risk scores (PRS) summarise genetic information into a single number with clinical and research uses. Deep learning (DL) has revolutionised multiple fields, however, the impact of DL on PRSs has been less significant. We explore how DL ca...
Modifiable risk factors of vaccine hesitancy: insights from a mixed methods multiple population study combining machine learning and thematic analysis during the COVID-19 pandemic.
BMC medicine
Mar 12, 2025
BACKGROUND: Vaccine hesitancy, the delay in acceptance or reluctance to vaccinate, ranks among the top threats to global health. Identifying modifiable factors contributing to vaccine hesitancy is crucial for developing targeted interventions to incr...
Generative AI-Enabled Therapy Support Tool for Improved Clinical Outcomes and Patient Engagement in Group Therapy: Real-World Observational Study.
Journal of medical Internet research
Mar 10, 2025
BACKGROUND: Cognitive behavioral therapy (CBT) is a highly effective treatment for depression and anxiety disorders. Nonetheless, a substantial proportion of patients do not respond to treatment. The lack of engagement with therapeutic materials and ...
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