Latest AI and machine learning research in identifying and reporting dependent adult abuse for healthcare professionals.
BACKGROUND: Surgical site outcome (SSO) reporting lacks details of management, focuses on infection, and overlooks dehiscence, seroma and haematoma. An international, consensus-driven classification system applicable to a diverse range of surgical incisions and outcomes was developed to address this gap and standardise the reporting of SSOs. METHOD: Concept statements based on a targeted literatur...
Generative AI, particularly large language models (LLMs), is reshaping clinical workflows in dermatology. However, cloud-based commercial models pose persistent challenges to Health Insurance Portability and Accountability Act (HIPAA) compliance, especially in dermatology, where protected health information (PHI) extends beyond text to clinical photographs, dermoscopic images, and total-body photo...
BACKGROUND: AI-based clinical decision support systems are increasingly integrated into medical practice, creating hybrid decision-making processes in...
BACKGROUND: Palliative care is increasingly recognized as essential for an aging population and rising life-limiting illnesses. Machine learning (ML) ...
BACKGROUND: Large language models (LLMs) are rapidly emerging in health care, offering opportunities in decision support, education, and research, but...
This study aims to evaluate a Grok application programming interface (API)-based file-attachment structured reporting workflow for silicone breast imp...
This scoping review consolidates existing technology-enabled interventions for preventing and responding to abuse of older people (AOP). Studies repor...
Hikikomori, or prolonged social withdrawal, is an issue of global relevance. The HRI-15 is a brief tool for its assessment. This study enhances its ut...
As patients increasingly access radiology reports through electronic portals, imaging reports are no longer private technical communications between c...
OBJECTIVES: A substantial proportion of adults with locally advanced gastric cancer derive limited benefit from neoadjuvant chemotherapy (NAC), with a...
The relative use of shock wave lithotripsy (SWL) has declined with the expansion of endourological techniques, although SWL remains widely available. ...
BACKGROUND: Generative AI, large language models, and ambient AI systems are rapidly being integrated into documentation-related processes in medicine...
OBJECTIVE: Clinical AI systems and models increasingly need traceable documentation that makes intended use, performance evidence, transparency, and l...
Ultrasound imaging is widely used across cardiology, hepatology, obstetrics, breast and thyroid imaging, and emergency care because it is real-time, n...
Maintaining the quality and consistency of radiology reports has become increasingly challenging with the growing volume of imaging examinations. This...
BACKGROUND: Advanced HIV disease remains a major global health concern, with nearly 40.8 million people living with HIV as of 2024. Antiretroviral the...
Systematic reviews and meta-analyses remain time-consuming and labor-intensive. We developed and validated a locally executed agentic artificial intel...
Cardiovascular risk assessment is a natural extension of lung cancer screening (LCS) because individuals eligible for low-dose computed tomography oft...
Prostate magnetic resonance imaging (MRI) reporting is a high-impact communication task because small differences in lesion laterality, sector localiz...
OBJECTIVES: To systematically identify, appraise and synthesise artificial intelligence (AI) and machine-learning (ML) models that predict treatment r...