Pathologic myopia is a leading cause of visual impairment and blindness. While deep learning-based approaches aid in recognizing pathologic myopia using color fundus photography, they often rely on implicit patterns that lack clinical interpretability….
Continue Reading
Accurate and comprehensive interpretation of pulmonary embolism (PE) from Computed Tomography Pulmonary Angiography (CTPA) scans remains a clinical challenge due to the limited specificity and structure of existing AI tools. We propose an agent-based…
Continue Reading
The market for digital health monitoring is expanding rapidly, with technologies that track health information and provide access to medical data promising benefits for users, particularly in areas with limited healthcare resources. To understand…
Continue Reading
Falls are a major cause of injuries among older people, with medication being a key risk factor. The SNOWDROP intervention introduces a clinical decision support system for general practitioners (GPs) offering personalized deprescribing advice,…
Continue Reading
We introduce a framework to adapt large language models for medicine: (1) Modeling: breaking down medical workflows into manageable steps; (2) Optimization: optimizing model performance via advanced adaptations; and (3) System engineering: developing agent…
Continue Reading
What You Should Know:
– Ryght AI, a provider of real-time generative AI healthcare technology for clinical research, today announced that the prestigious Winship Cancer Institute of Emory University has joined its unique Ryght Research…
Continue Reading
United Lincolnshire Teaching Hospitals NHS Trust has signed a contract with supplier Nervecentre for an EPR, marking a move towards fully digitised patient health records.
The agreement aims to implement a new Electronic Patient…
A six-month project involving the use of smart sensors at a retirement housing development in South Lanarkshire has demonstrated benefits for both tenants and housing providers.
It involved sensors being placed around communal spaces and…
In healthcare, federated learning (FL) is emerging as a methodology to enable the analysis of large and disparate datasets while allowing custodians to retain sovereignty. While FL minimises data-sharing challenges, concerns surrounding ethics, privacy,…
Continue Reading
With the shift toward de-escalating surgery in breast cancer, prediction models incorporating imaging can reassess the need for surgical axillary staging. This study employed advancements in deep learning to comprehensively evaluate routine mammograms for…
Continue Reading
