Latest AI and machine learning research in medicolegal for healthcare professionals.
In the event of a severe nuclear accident at a coastal nuclear power plant, the rapid and accurate assessment of radionuclide dispersion in surrounding coastal waters is critical for effective emergency response. To overcome the inherent latency and predictive fidelity limitations of conventional marine dispersion simulations, this study develops an innovative hybrid Physics-Informed Deep Learning...
BACKGROUND: Intimate partner violence (IPV) and substance use disorders (SUDs) represent major public health challenges, yet identifying IPV cases in electronic health records (EHR) remains difficult due to inconsistent documentation practices and variable billing procedures. METHODS: We constructed three patient cohorts based on SUDs or overdoses involving stimulants, opioids, or both from the EH...
INTRODUCTION: Unstructured clinical data, including operative reports and progress notes, contain critical surgical information that is often absent f...
Mesoporous graphene frameworks (MGFs) were synthesized as p-type semiconductors with a nonzero band gap of ~1 eV and used as 3D photo-sensitive scaffo...
Molecular modelling an impactful and trending approach for rational design of pulmonary drug delivery systems. In particular, in silico techniques can...
OBJECTIVES: To perform an in-depth evaluation of the diagnostic test accuracy of a commercially available AI tool for assistance in fracture detection...
BACKGROUND: Ambient artificial intelligence (AI) scribes can reduce the burden of administrative documentation. Prior evaluations have been vendor spe...
BACKGROUND: Physicians routinely document specifics of patient encounters in clinic visit notes, a critical but potentially time-consuming task. Ambie...
Molecular dynamics (MD) simulations provide detailed, time-resolved insight into molecular motion. Advances in hardware and software now make very lar...
INTRODUCTION: Liver tumours are a leading cause of global morbidity and mortality. Current diagnostic tools, including computed tomography (CT), magne...
Existing research has confirmed that nitrogen deposition is a key source of nutrient input in watersheds, but its contribution to riverine carbon, nit...
We address the growing concern of requests for post-submission and post-acceptance changes in authorship which our editorial team has observed in rece...
BACKGROUND: Preoperative chart review is time-consuming and prone to errors, particularly for cardiopulmonary conditions that impact anesthetic planni...
BACKGROUND: Overdose rates in the U.S. rose dramatically during the COVID-19 pandemic. Well-documented racial and sociodemographic inequities in the i...
BACKGROUND: Accurate prediction of early recurrence (ER) after radical resection remains a critical challenge in pancreatic ductal adenocarcinoma (PDA...
The pursuit of sustainable green energy has intensified the demand for self-powered materials, which are capable of efficiently converting ambient mec...
Artificial intelligence (AI) is now a key player in modern microbiology, as it enables high-resolution analyses of genomic, metagenomic, and clinical ...
Increasing clinical trial protocol complexity, amendments, and challenges around knowledge management create significant burden for trial teams. Struc...