Latest AI and machine learning research in product alert for healthcare professionals.
BACKGROUND: Diabetic retinopathy (DR), a microvascular complication of diabetes, is an important cause of preventable blindness and can cause a significant reduction in the quality of life of working-age adults. Sri Lanka has one of the highest prevalences of diabetes globally, and like many low- and middle-income countries, faces significant barriers to DR screening. Easy-to-use, relatively cheap...
BACKGROUND AND OBJECTIVE: Nurses are essential for safeguarding public health, and their physical condition directly affects care quality and patient safety. Work-related musculoskeletal disorders (WMSDs) are highly prevalent in this workforce and may be amplified by circadian disruption. We therefore integrated individual and environmental risk factors, with special attention to night-shift chara...
INTRODUCTION: Prognostic assessment in critically ill patients traditionally relies on severity scores or single biomarkers, each with limited ability...
The post-intervention effects of non-invasive neuromodulation techniques are critical for their translational potential in neurorehabilitation and dep...
Schwabe et al's pre-post time-motion study of a domain-specific artificial intelligence (AI) speech assistant used by nurses in German long-term care ...
Heart failure (HF) following myocardial infarction (MI) remains a major threat to health worldwide. While transcriptomics has revealed numerous genes ...
BACKGROUND: False-positive (FP) alerts from implantable loop recorders increase clinical workload and may delay appropriate intervention. AccuRhythm A...
BACKGROUND: Immune checkpoint inhibitors (ICIs) significantly improve cancer outcomes but can cause rare, potentially fatal cardiotoxicity, including ...
BACKGROUND: The application of generative artificial intelligence to simplify medication use instructions has the potential to enhance people's health...
BACKGROUND: Hand hygiene (HH) is a straightforward yet highly effective preventive measure against healthcare-associated infections; however, global c...
Artificial intelligence (AI) has emerged as a transformative force in liver transplantation (LT), spanning patient selection, donor-recipient matching...
INTRODUCTION: Anatomy teaching in preclinical medical education has become increasingly compressed, making it more difficult for students to integrate...
Reliable and secure transmission of medical images is essential for telemedicine, remote diagnosis, and distributed healthcare systems. However, medic...
BACKGROUND: Biomedical Large Language Models (LLMs) combined with prompt engineering offer domain-specific reasoning, yet their application to individ...
The British Society of Antimicrobial Chemotherapy (BSAC) Academic Publishing Workshop, held at the Birmingham City Event Centre in the UK from 19 to 2...
BACKGROUND: Endovascular thrombectomy (EVT) has improved outcomes in patients with acute ischemic stroke due to large vessel occlusion (AIS-LVO); howe...
Suicide screening in military primary care settings is often conducted with a small number of self-report questions. The PRImary care Screening Method...
Regulators increasingly view real-world healthcare data and potential use of Artificial Intelligence (AI) approaches as vital for pharmacovigilance (P...
To support pharmacovigilance activities in social media, innovative methods are required to detect named entities corresponding to drugs and adverse e...
The CODE MEDI program was a two-day medical artificial intelligence (AI) and software (SW) convergence hackathon jointly organized by the medical and ...