Latest AI and machine learning research in medicolegal for healthcare professionals.
BACKGROUND: Routine healthcare data are increasingly stored in electronic health records (EHRs), pre...
OBJECTIVES: To assess how disclosing artificial intelligence (AI) results, particularly discordant f...
Inosine monophosphate (IMP) is a key umami-related nucleotide that contributes substantially to chic...
Integrating artificial intelligence (AI) into maternal and neonatal health (MNH) offers significant ...
Efforts to predict schizophrenia risk using biological data have been hampered by the heterogeneity ...
OBJECTIVE: To evaluate CigStopper, a machine learning algorithm designed to predict billing eligibil...
INTRODUCTION: Residual feed intake (RFI) is a key indicator of feed efficiency in poultry and is reg...
SCOPE: Infectious diseases consultation (IDC) services contribute to optimized infection management ...
Colorectal cancer (CRC) is a leading cause of cancer-related deaths worldwide. The Biobanking and Bi...
BACKGROUND: Mental health providers (MHPs) face a significant administrative burden from documentati...
BACKGROUND: The global nursing shortage, exacerbated by heavy workloads and high turnover rates asso...
INTRODUCTION: Errors in emergency department (ED) documentation can lead to patient harm and medicol...
BACKGROUND AND OBJECTIVE: Colorectal cancer is the third most common cancer worldwide and presents a...
Wet deposition of nitrogen and sulfur compounds is a major pathway through which atmospheric polluta...
ConspectusTranscytosis, traditionally regarded as biological, constitutes an intrinsic and powerful ...
ISSUE: Interest in artificial intelligence (AI) has surged recently, with healthcare being no except...
Roller-type date stamps have become increasingly used in recent years within Chinese low-cost manufa...
BACKGROUND: Proton density fat fraction (PDFF) measured using magnetic resonance imaging (MRI) is co...
PURPOSE: To assess narrative clinical documentation quality in assisted reproductive technology (ART...
OBJECTIVE: To examine how continually updated, living evidence and gap maps (L-EGMs) with an online ...
Fibrosis is a maladaptive pathophysiological process characterized by excessive deposition of extrac...