Latest AI and machine learning research in domestic violence for healthcare professionals.
Recent advances in artificial intelligence (AI) are expected to cause a significant paradigm shift i...
Searching for trials is a key task in systematic reviews and a focus of automation. Previous approac...
The application of deep learning (DL) models for screening environmental estrogens (EEs) for the sou...
OBJECTIVE: To evaluate the usage of a well-known and widely adopted checklist, Checklist for Artific...
The emergence and immune evasion ability of SARS-CoV-2 Omicron strains, mainly BA.5.2 and BF.7 and o...
Streamlined data-driven drug discovery remains challenging, especially in resource-limited settings....
Microfluidic platforms have been employed as an effective tool for drug screening and exhibit the ad...
AIM: To develop a multiclass non-clinical screening tool for periodontal disease and assess its accu...
AIMS: Indiscriminate coronary computed tomography angiography (CCTA) referrals for suspected coronar...
The abuse of traditional antibiotics has led to increased resistance of bacteria and viruses. Effici...
UNLABELLED: This study utilized deep learning to classify osteoporosis and predict bone density usin...
Recently emerging generative AI models enable us to produce a vast number of compounds for potential...
Retinopathy is the primary cause of irreversible yet preventable blindness. Numerous deep-learning a...
BACKGROUND: Artificial intelligence (AI)-based cancer detectors (CAD) for mammography are starting t...
BACKGROUND: The reporting of machine learning (ML) prognostic and diagnostic modeling studies is oft...
INTRODUCTION: Parvovirus B19 transmitted by umbilical cord blood (UCB) products may cause severe dis...
BACKGROUND: The Rey Complex Figure Test (RCFT) has been widely used to evaluate the neurocognitive f...
BACKGROUND: To compare the performance of Medios (offline) and EyeArt (online) artificial intelligen...