What You Should Know:
– OPTAC-X, a leader in telehealth solutions, and Mayo Clinic have achieved a milestone in emergency medicine by utilizing satellite-enabled telehealth to guide a successful cardiac arrest resuscitation outside of a…
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Deep learning algorithms have demonstrated remarkable efficacy in various medical image analysis (MedIA) applications. However, recent research highlights a performance disparity in these algorithms when applied to specific subgroups, such as exhibiting poorer predictive…
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This randomized clinical trial evaluated the effectiveness of short, digital interventions in improving physical activity and pain for individuals with knee osteoarthritis. We compared a digital mindset intervention, focusing on adaptive mindsets (e.g., osteoarthritis…
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Robust data privacy regulations hinder the exchange of healthcare data among institutions, crucial for global insights and developing generalised clinical models. Federated learning (FL) is ideal for training global models using datasets from different…
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What You Should Know:
– miRoncol, a medtech startup, has announced the completion of proof-of-concept studies for a groundbreaking multi-cancer early detection blood test.
– The test utilizes microRNA analysis and machine learning, two technologies recognized…
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Abdominal aortic aneurysm (AAA) often remains undetected until rupture due to limited access to diagnostic ultrasound. This trial evaluated a deep learning (DL) algorithm to guide AAA screening by novice nurses with no prior…
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The following is a guest article by Jaylee Hilliard, Senior Director of Clinical Strategy at AngelEye Health
The Neonatal Intensive Care Unit (NICU) is a marvel of modern medicine, providing life-saving care for newborns facing…
In multicentric studies, data sharing between institutions might negatively impact patient privacy or data security. An alternative is federated analysis by secure multiparty computation. This pilot study demonstrates an architecture and implementation addressing both…
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Privacy, systems interoperability, and lack of research capability are some of the biggest challenges in utilising big data for national precision medicine projects in advanced health systems in Asia.Health leaders from Taiwan, South Korea, and…
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Wearables offer a promising solution for enhancing remote monitoring (RM) of heart failure (HF) patients by tracking key physiological parameters. Despite their potential, their clinical integration faces challenges due to the lack of rigorous…
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