Objective: This study provides a comprehensive threat analysis of data poisoning vulnerabilities across major health care AI architectures. The goals are to (1) identify attack surfaces in clinical AI ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Objectives: To assess the prevalence and determinants of macrovascular complications (coronary artery disease, stroke, and diabetic foot) among adults living with T2DM in rural Bangladesh. Methods: A ...

Objective: This study aims to explore patients’ experiences using the digital platform 1177-direkt for chat-based consultations in Swedish primary health care, with a focus on understanding their ...

Abstract: The referral system in the National Health Insurance program aims to optimize the function of First Level Health Facilities as an initial health service filter. However, practice in the ...

Abstract: The prediction of patient care costs is essential in supporting hospital financial planning and enhancing service transparency. This practical work report presents the development of a cost ...

Officials say 145,000 people were affected by a data breach from Central Maine Health Care last year. Trump Cabinet secretaries conspired to violate Constitution, judge says Defense Department says ...

While I have concerns about the use of AI chatbots like ChatGPT and Anthropic’s Claude – namely, the environmental pressures, potential for dangerous hallucinations and the use of data from unreliable ...

ABSTRACT: Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and ...

Introduction: Older individuals who suffer from mental disorders may encounter accessibility difficulties related to factors such as remoteness and socioeconomic status. The present analysis provides ...