Latest AI and machine learning research in medicolegal for healthcare professionals.
BACKGROUND: As the core documentation of the clinical diagnosis and treatment process, the quality of medical records is directly related to medical safety and efficiency. However, traditional manual quality control (QC) has limitations such as limited coverage, low efficiency, and inconsistent standards, making it difficult to meet the high standards of modern hospitals. OBJECTIVE: The purpose of...
BACKGROUND: Spiritual care providers are increasingly challenged to address the introduction of AI within the ethical, theological, and organizational bounds of their employers and religious or worldview communities. However, empirical data on professional perspectives regarding AI implementation in spiritual care remain scarce. OBJECTIVE: This study aimed to conduct the first empirical investigat...
BACKGROUND: Large language models (LLMs) are increasingly integrated into clinical artificial intelligence (AI) workflows, with emerging applications ...
BACKGROUND: This article examines the impact of skeletal muscle mass and sarcopenia on the treatment of head and neck tumors using an AI-based review ...
OBJECTIVE: Data extraction is among the most resource-intensive and error-prone stages of systematic review production. Large language models (LLMs) o...
BACKGROUND: Robotic-assisted surgery is now an established part of contemporary orthopaedic practice, particularly in knee arthroplasty, where it has ...
We examined clinical, genetic, and molecular links between sleep disorders and endometriosis. Women aged 20-54Â years in NHANES 2005-2006 were analyzed...
Artificial intelligence (AI) is increasingly embedded in healthcare delivery, and when systems are scaled across clinical workflows, errors may have s...
BACKGROUND: Ambient artificial intelligence scribes (AI scribes) are emerging as tools to optimize clinical documentation, although the need persists ...
Frontier large language models (LLMs), such as GPT-5, Claude 4.5, Gemini 3, Llama 4 and DeepSeek-R1, represent a transformative class of artificial in...
BACKGROUND: Documentation burden consumes an average of 31% of a nurse's 12-hour shift. This challenge necessitates nurse-led innovations to streamlin...
BACKGROUND: Generative artificial intelligence (GAI) has rapidly expanded into health and social care, offering new opportunities for communication, c...
BACKGROUND: Catheter-associated urinary tract infection (CAUTI) surveillance is critical for patient safety. Many healthcare systems use electronic al...
BACKGROUND: Digital scribes use automatic speech recognition to transcribe a clinician-patient conversation and use generative artificial intelligence...
OBJECTIVES: Hospital artificial intelligence (AI) is increasingly embedded in electronic health record workflows, cloud inference pipelines, imaging, ...
Artificial intelligence is rapidly entering clinical practice, yet many physicians-especially those in solo or small-group settings-lack the guidance ...
Artificial intelligence (AI) is rapidly becoming a core methodological pillar of molecular biology and precision medicine, and Africa is a uniquely co...
Machine learning (ML) and deep learning (DL) models are increasingly being explored for individualized epilepsy risk prediction after a first unpr...
AI scribes are increasingly used to reduce clinical documentation burden, but ethical evaluation must extend beyond efficiency to include training, go...
BACKGROUND: Effective communication is crucial for high-quality health care, but systemic barriers still disrupt patient-provider interactions. Resear...