Latest AI and machine learning research in work force for healthcare professionals.
Through multi-faceted comparative analysis of MITEs across six pear genomes, we revealed their distr...
Breast nodules are highly prevalent among women, and ultrasound is a widely used screening tool. Ho...
In medical imaging, challenges are competitions that aim to provide a fair comparison of different m...
A key maxim guiding the introduction of new technologies, including those utilizing artificial intel...
Imbalanced image classification faces critical challenges in balancing the quality and diversity of ...
OBJECTIVE: To explore how aspects of patient-centered communication (PCC) may directly or indirectly...
High-dose-rate (HDR) brachytherapy is integral to the standard-of-care for locally advanced cervical...
Disparity among gender and ethnicity remains an issue across medicine and health science. Only 26%-3...
BACKGROUND: Nurse scheduling is a complex challenge in health care, impacting both patient care qual...
AIM: To combine the Job Demand-Resource (JD-R) model with machine learning (ML) techniques to identi...
Recent developments in artificial neural networks have drawn inspiration from biological neural netw...
The traditional quota compilation method has a large workload and requires a lot of manpower and mat...
Persistent geographic and specialty-based disparities in health care workforce distribution have cre...
Artificial intelligence (AI) and digital health (DH) solutions are reshaping musculoskeletal (MSK) c...
The next generation of force fields for molecular dynamics will be developed using a wealth of data....
The professional development curriculum is a vital component in physician training and is important ...
BACKGROUND: Pulmonary tuberculosis (PTB) remains a global public health challenge, with 10.8 million...
U1 small nuclear RNA (snRNA) mutations are recurrent non-coding alterations found in various maligna...
: Person-centered care (PCC) has become a pivotal concept in healthcare. At present, no published st...
Clinical informatics (CI) is an emerging field within biomedical informatics that sits at the inters...
Person re-identification (re-ID) models often fail to generalize well when deployed to other camera ...