Latest AI and machine learning research in product alert for healthcare professionals.
Accurate prediction of liquefaction-induced lateral displacement is essential for seismic risk asses...
Fecal microbiota transplantation (FMT) has emerged as a promising therapy for gastrointestinal disea...
BACKGROUND: Patients' digital access to their personal health data is becoming increasingly common w...
PURPOSE: To evaluate the incidence of uterine tachysystole and determine if nurses' management of ta...
Nanoplastics (NPs) are globally recognized as pervasive emerging contaminants with demonstrated toxi...
PURPOSE: Mechanical thrombectomy (MT) improves stroke outcomes, but is limited by a lack of local tr...
This study used machine learning to objectively identify seizures in the electroencephalogram of a m...
OBJECTIVE: Phase II of MVP-CHAMPION, a federal collaboration between the Veterans Affairs Healthcare...
OBJECTIVE: Traditional readmission risk models relying on static discharge data have limited predict...
PURPOSE: Machine learning segmentation has emerged in tumor assessment with high performance in volu...
Chronic hepatitis B remains a major global health challenge despite the advances in antiviral therap...
BACKGROUND: Highly accessible and scalable, digital mental health interventions can reduce barriers ...
For pharmacovigilance, the Pharmaceuticals and Medical Devices Agency in Japan has utilized real wor...
Biomedical knowledge discovery increasingly relies on computational tools to uncover patterns in com...
Brain fog has raised significant public health concerns as a common neurocognitive impairment in the...
BACKGROUND: In recent years, there has been increasing interest in developing machine and deep learn...
BACKGROUND: Machine learning (ML) models can accurately predict hospital admissions in emergency dep...
Managing salinity in arid rivers is impeded by sparse monitoring, relying on low-frequency grab samp...
The rapid growth of artificial intelligence, ubiquitous sensing, and edge computing is exposing fund...
Ultrasound is among the most widely used imaging modalities in clinical trials, and yet its dependen...
OBJECTIVES: To present a robot-assisted protocol for autogenous mandibular molar transplantation usi...