Latest AI and machine learning research in medicolegal for healthcare professionals.
BACKGROUND: Reviewing pathology, imaging, and consultation documents in oncology can be time-consuming, particularly when records originate from external facilities in different file formats. This study aimed to evaluate the impact of a Retrieval-Augmented Generation (RAG)-enabled GPT-4o summarization agent on clinical workflows and quality of outside-record summaries in breast surgical oncology. ...
BACKGROUND AND AIMS: Healthcare administration accounts for approximately 25% of healthcare expenditures. We performed a scoping review of AI-enabled administrative products in gastroenterology and hepatology, including widely deployed commercial platforms, examining administrative functions, validation practices, and alignment with high-burden workflows. METHODS: A two-component search strategy c...
OBJECTIVES: The continual evaluation of quality indicators (QIs) for cancer pain management is essential to maintaining and improving its quality. How...
PURPOSE OF REVIEW: Gastrointestinal (GI) cancers are among the most common malignancies worldwide and impose a substantial symptom burden from diagnos...
Neutrophil extracellular traps (NETs) facilitate inflammation and epithelial-mesenchymal transition (EMT), promoting the progression of pulmonary fibr...
Controlling the balance between structural integration and functional maturation of microtissues remains a central challenge in bone tissue engineerin...
INTRODUCTION: Artificial intelligence (AI) medical scribes are an emerging technology intended to reduce the documentation burden. In pediatrics, evid...
Aqueous zinc-ion batteries (AZIBs) are widely regarded as a compelling technology for grid-scale energy storage owing to their intrinsic safety, cost-...
Artificial intelligence (AI) has rapidly evolved into a transformative adjunct to gastrointestinal (GI) endoscopy, particularly through deep-learning-...
Artificial intelligence (AI) is increasingly applied to bioink formulation and bioprinting process control in tissue engineering (TE). Yet, translatio...
BACKGROUND: Clinicians spend a substantial share of their working hours on documentation, contributing to workflow inefficiencies, reduced patient-fac...
The emergence of multidrug-resistant (MDR) Pseudomonas aeruginosa poses a serious threat to burn wound healing, necessitating the development of alter...
The Structured Information Collection as a data source for AI applications: a qualitative study of data quality Abstract: Background: Artificial intel...
BACKGROUND: Ethical risks of medical artificial intelligence (AI) are a global concern, but existing understanding remains fragmented without an integ...
Mercury (Hg) is a highly toxic trace metal that poses severe threats to ecosystems and human health. Coal-fired power plants (CFPPs) have historically...
BACKGROUND: Preclinical spine research is limited by heterogeneous experimental reporting, fragmented documentation, and barriers to reproducibility a...
Pressure ulcers (PUs) under type II diabetic conditions pose a significant clinical challenge due to damage to the vascular and neural networks, a sit...
Clinical documentation is essential for safe and effective patient care but places a substantial clerical burden on doctors, particularly those early ...
Human activity has a profound impact on the distribution of a number of species, especially those with ecological and economic importance. Euryale fer...
In medical documentation, vast amounts of unstructured text are generated that are still underutilized in current prognostic models. We investigate th...