Latest AI and machine learning research in medicolegal for healthcare professionals.
This work focuses on data mining applied to the clinical documentation domain. Diagnostic terms (DTs...
Advances in machine intelligence have created powerful capabilities in algorithms that find hidden p...
A need exists for artificial muscles that are silent, soft, and compliant, with performance characte...
Abnormalities of enamel matrix proteins deposition, mineralization, or degradation during tooth deve...
Assay of multiple serum tumor markers such as carcinoembryonic antigen (CEA), cytokeratin 19 fragmen...
Mixed cryoglobulinemic syndrome, which is a systemic vasculitis characterized by the immune complex ...
Blockade of human ether-Ã -go-go related gene (hERG) channel by compounds may lead to drug-induced QT...
Waste burial in uncontrolled landfills can cause serious environmental damages and unpleasant conseq...
This work is focused on mapping biomedical datasets to a common representation, as an integral part ...
An electrochemical method based on a directly electrochemically reduced graphene oxide (ERGO) film c...
The current rapid growth of Internet of Things (IoT) in various commercial and non-commercial sector...
Three-dimensional (3D) printing offers versatile possibilities for adapting the structural parameter...
Three experiments were conducted with broiler chickens to evaluate the effects of digestible threoni...
This research aimed at developing comprehensive assessments of physicochemical quality of groundwate...
Controlled clinical trials are usually supported with an in-front data aggregation system, which sup...
Clinical chart abstraction extracts structured patient variables from longitudinal clinical notes bu...
Objective: Stigmatizing language in the electronic health record (EHR) has been associated with adve...
A closed-loop quality system deployed across thirteen US hospital sites resolved physician complaint...
Background Informed consent depends on patients' understanding of anaesthesia risk, yet comprehensio...
Human-associated microbial genomes encode extensive strain-level diversity and niche-specific gene r...
Background: With growing impetus to integrate artificial intelligence (AI) tools into radiology, cli...