Latest AI and machine learning research in work force for healthcare professionals.
A non-experimental approach to developing high-performance EMI shielding materials is urgently neede...
Artificial Intelligence (AI) driven documentation systems are positioned to enhance documentation ef...
Starting from Merck Molecular Force Field (MMFF) geometries, a neural-net based model has been formu...
In recent decades, technological shifts within the healthcare sector have significantly transformed ...
: Diabetes is a rapidly increasing global health challenge compounded by a critical shortage of diab...
Metagenomics, particularly genome-resolved metagenomics, have significantly deepened our understandi...
In the medical field, text annotation involves categorizing clinical and biomedical texts with speci...
BACKGROUND: The prevalence of adolescent mental health conditions such as depression and anxiety has...
Artificial intelligence is a powerful tool that can potentially transform the diagnostic, therapeuti...
Graph neural network (GNN) architectures have emerged as promising force field models, exhibiting hi...
Kidney transplantation is the definitive treatment for end-stage renal disease (ESRD), yet challenge...
Breast cancer (BC) is a global problem, largely due to a shortage of knowledge and early detection. ...
Endoscopy is widely used to diagnose gastric cancer and has a high diagnostic performance, but it mu...
Musculoskeletal injuries induced by high-intensity and repetitive physical activities represent one ...
Atomic force microscopy (AFM) has reached a significant level of maturity in biology, demonstrated b...
Water scarcity and labor shortage pose significant challenges in rice farming. Direct-seeded rice (D...
BACKGROUND: Online adaptive radiotherapy (OART) and rapid quality assurance (QA) are essential for e...
BACKGROUND: The rising number of cancer survivors and the shortage of health care professionals chal...
During winter months, there is increased pressure on health care systems in temperature climates due...
To mitigate the shortage of labeled data, Few-Shot Classification (FSC) methods train deep neural ne...
OBJECTIVE: Telehealth paradigms are essential for remotely managing patients with chronic conditions...