Latest AI and machine learning research in domestic violence for healthcare professionals.
The search for early biomarkers of mild cognitive impairment (MCI) has been central to the Alzheimer...
Artificial intelligence is becoming increasingly important in dermatology, with studies reporting ac...
OBJECTIVE: To systematically examine the design, reporting standards, risk of bias, and claims of st...
AIMS: We conducted a systematic review assessing the reporting quality of studies validating models ...
BACKGROUND: In the screening phase of systematic review, researchers use detailed inclusion/exclusio...
Machine learning, artificial intelligence, and other modern statistical methods are providing new op...
Drug development is one of the most significant processes in the pharmaceutical industry. Various co...
Cell Population Data (CPD) provides various blood cell parameters that can be used for differential ...
This study was to assess the feasibility of using non-standardized single-lead electrocardiogram (EC...
The utilization of entomological specimens such as larvae (maggots) for the estimation of time since...
BACKGROUND: Surgical site infections are a major driver of morbidity and increased costs in the post...
Accessing patients' social needs is a critical challenge at emergency departments (EDs). However, mo...
IMPORTANCE: Mammography screening currently relies on subjective human interpretation. Artificial in...
Early diagnosis of lung cancer via computed tomography can significantly reduce the morbidity and mo...
Suicide is the tenth leading cause of death in the United States (US). An early-warning system (EWS)...
OBJECTIVE: Osteoporosis is a prevalent and treatable condition, but it remains underdiagnosed. In th...
Ultrafast Shape Recognition (USR), along with its derivatives, are Ligand-Based Virtual Screening (L...
AIM: To develop a screening tool for the detection of interstitial lung disease (ILD) patterns using...
BACKGROUND AND OBJECTIVE: Diabetic retinopathy (DR), which is generally diagnosed by the presence of...
BACKGROUND: Machine learning (ML) is increasingly being used in many areas of health care. Its use i...
Liquid chromatography coupled to high-resolution mass spectrometry (HRMS) enables data independent a...