Latest AI and machine learning research in identifying and reporting dependent adult abuse for healthcare professionals.
The rapid adoption of large language models and generative artificial intelligence (AI) is transforming biomedical research and publishing. Although international organizations such as the International Committee of Medical Journal Editors (ICMJE) and the Committee on Publication Ethics (COPE) have established the principle that AI cannot be recognized as an author, and the ICMJE, in its January 2...
BACKGROUND: Health care systems face escalating cyberattacks, including the UK Synnovis ransomware attack, which halted pathology services for 14 weeks; the Ascension Health breach affecting 5.6 million patients; and the Change Healthcare breach costing US $2.5 billion. Conventional cybersecurity measures in health care remain reactive and inadequate against evolving threats. Machine learning (ML)...
BACKGROUND AND AIMS: Acute Type A aortic dissection (ATAAD) is a surgical emergency in which delays in diagnosis, transfer, and operative activation i...
Background: Childhood maltreatment (CM) is a major risk factor for different mental disorders and transdiagnostic mechanisms, including emotion dysreg...
Artificial intelligence (AI) is increasingly entering male infertility care through semen image analysis, sperm-selection support, prediction of sperm...
Background: Suicide-related media is known to influence suicide rates. Large language models (LLMs), a form of generative artificial intelligence (AI)...
BACKGROUND: AI-enabled chatbots and related conversational systems can facilitate human-computer interaction through natural language, personalization...
MOTIVATION: Cell type annotation in spatial transcriptomics (ST) is fundamental for deciphering complex tissue organization and spatially resolved bio...
OBJECTIVES: Hospital artificial intelligence (AI) is increasingly embedded in electronic health record workflows, cloud inference pipelines, imaging, ...
The Reporting and Data Systems (RADS) framework has become a key driver of structured reporting and standardization in radiology. This review summariz...
BACKGROUND: AI shows substantial potential in health care; however, the absence of standardized evaluation frameworks limits its safe and effective cl...
This paper examines the integration of artificial intelligence (AI) into cancer screening programmes, focusing on the associated equity challenges and...
BACKGROUND AND AIMS: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a major cause of liver disease that is growing in prevalence....
BACKGROUND: Mpox epidemiology has expanded from endemic zoonotic spillover to sustained human-to-human transmission. While behavioral risk factors hav...
BACKGROUND: Bipolar disorder (BD) is a complex and heterogeneous psychiatric condition, characterized by fluctuating clinical courses that affect appr...
BACKGROUND: Large language model (LLM)-based conversational agents are increasingly used in health care, yet their capacity to support genuine multitu...
BACKGROUND AND OBJECTIVE: Accurate risk stratification in localized prostate cancer is essential for guiding treatment decisions. Conventional Nationa...
BACKGROUND: Improving the infrastructure for drug overdose surveillance is critical for identifying new threats and responding to emerging trends. We ...
BACKGROUND: There has been an increase in the availability and use of artificial intelligence (AI) across many professional domains, and there are tra...
BACKGROUND: Pediatric rare diseases are highly heterogeneous and are frequently associated with missed or delayed diagnosis, creating substantial burd...