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…
In June 2023, the NHS Long Term Workforce Plan was published, with shortfalls in the healthcare workforce estimated to reach between 260,000 and 360,000 staff by 2036/37. In response, it set out three priorities…
Continue Reading
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…
What You Should Know:
– Johns Hopkins Health System announced the official launch of Illustra Health, an advanced suite of analytics and implementation capabilities designed to transform the practice of population health. Developed by Johns…
Continue Reading
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
Top News
[embedded content]
Canopy Health drops its May 2025 lawsuit against Commure and will take over customer management of Commure’s Strongline Pro panic button system.
Canopy had alleged that Commure used its insider knowledge as…
Cognitive bias accounts for a significant portion of preventable errors in healthcare, contributing to significant patient morbidity and mortality each year. As large language models (LLMs) are introduced into healthcare and clinical decision-making, these…
Continue Reading
Medical image segmentation is vital for accurate diagnosis. While U-Net-based models are effective, they struggle to capture long-range dependencies in complex anatomy. We propose GH-UNet, a Group-wise Hybrid Convolution-ViT model within the U-Net framework,…
Continue Reading
