healthcare

Background: AI-based clinical decision support systems are increasingly integrated into medical practice, creating hybrid decision-making processes in which physicians and AI systems jointly contribute to clinical judgments. Yet, how different forms of such AI support affect patients’ trust in hybrid medical decisions remains poorly understood. Objective: This study aimed to examine how the type …

arXiv:2605.23026v2 Announce Type: replace Abstract: Generative artificial intelligence (AI) systems now summarize health-related search results, answer medical questions, and offer guidance people once sought from clinicians. These systems bring real benefits, including plain-language explanations of medical information, around-the-clock availability, and expanded access for people facing languag…

Exercise training is a cornerstone of cardiac rehabilitation (CR) for patients with coronary artery disease (CAD), and current guidelines rate it as a top-tier recommendation for reducing the risk of future cardiovascular events.

Researchers found that among 1,357 FDA-cleared or approved AI/ML-enabled medical devices, only 34 were linked to registered clinical trials and just three had been evaluated for patient-centered outcomes. The study highlights major gaps in prospective testing, demographic representation, transparency, and evidence showing whether medical AI meaningfully improves patients’ health.

NHS Supply Chain tender 2026/S 000-076079 splits a £210 million medical simulation framework into five lots, with £40 million named for immersive technology. The lot values are not ring-fenced, and the immersive lot is scored on a criterion the manikin lots do not use at all.

The COVID-19 pandemic demonstrated how difficult it can be to maintain an overview of the current health situation without adequate digital infrastructure. This is where the team behind AtheneKI comes in. The system is designed to bring together large volumes of information, simulate crisis scenarios, and thereby help identify emerging problems earlier and support better decision-making.

arXiv:2608.18296v1 Announce Type: new Abstract: As CGM-based AI tools approach clinical deployment, whether their accuracy is equitable across patient demographics remains insufficiently tested. To enable this evaluation, we constructed FairGlucose, a 300-patient CGM cohort balanced across 12 demographic strata (age x gender x type 1/type 2 diabetes), with 132,480 forecasting samples and 3,945 un…

Why does the United States spend so much more on healthcare than other wealthy countries? Harvard professor John McDonough traces part of the answer to decades of policy change, consolidation and growing commercial influence. #health, #healthinsurance, #healthcare, #history, #faculty, #ushealthcare, #healthcarecosts, #healthcarereform, #johnmcdonough, #healthpolicy, #hospitalconsolidation, #priva…

AI is making waves in health care and medicine. Does the technology have the potential for breakthroughs in how we tackle disease, dysfunction and aging?

A standardized framework for regulating the safety and efficacy of AI in healthcare has yet to be established.

Discover how AI is transforming healthcare with 4 FDA-approved tools. Learn how Compute with Hivenet enhances AI in diagnostics, research, and patient care.

Nature, Published online: 19 August 2026; doi:10.1038/s41586-026-10687-1 The Review examines rapid LLM adoption in clinical care, outlining emerging security and safety risks across development stages, key protective layers, clinically relevant threats and current mitigation responsibilities in a single integrated framework.

Which hospitals could become unavailable in the event of a natural disaster? How many intensive care beds are available, and what medicines are in stock? In the future, answers to questions like these should be available and updated more quickly.

Julia Naganuma-Carreras is a Rose Service Learning Fellow and MPH candidate in the Health and Social Behavior field of study. San Felipe sits in the Aconcagua Valley in central Chile,...

BackgroundPsychological stress is a common and dynamic mental health concern, but conventional assessment methods often rely on self-report questionnaires, clinical interviews, or contact-based physiological sensors, which may limit continuous and unobtrusive monitoring in everyday settings. Noncontact sensing technologies combined with artificial intelligence (AI) provide a potential approach fo…

This study explores the role of ontology in healthcare by surveying numerous research articles to provide a comprehensive overview of its applications, benefits, and challenges. Ontologies, which enable structured representation and integration of complex healthcare knowledge, have been increasingly employed to enhance data interoperability, improve clinical decision making, and support personali…

Due to lack of safety architecture to support envisaged digital transformation, warn experts The NHS 10 year Health Plan “risks propagating patient harm at an unprecedented scale” due to the lack of appropriate safety architecture to support the envisaged digital transformation, warn experts in an analysis published in the online journal BMJ Innovations. Digital transformation is ...