Latest AI and machine learning research in work force for healthcare professionals.
Black box deep learning models trained on genomic sequences excel at predicting the outcomes of di...
A number of production deep learning clusters have attempted to explore inference hardware for DNN...
Pseudo-labeling based semi-supervised learning (SSL) framework has proven highly successful in medic...
Shoulder dislocations are the most common dislocations and there is a demand for a novel traction de...
Echocardiography is the only technique capable of real-time imaging of the heart and is vital for ...
Soft tissue elasticity is directly related to different stages of diseases and can be used for tis...
This vision paper focuses on the mental health crisis impacting healthcare workers (HCWs), which e...
We consider the dynamics imposed by natural selection on the populations of two competing, sexuall...
As teleheath becomes integrated into the practice of medicine, it is important to understand the ben...
Hymenoptera has some of the highest diversity and number of individuals among insects. Many of these...
Renal pathology is a relatively recent entry in nephrology. While diseases of the kidney are old, th...
Integrating Artificial Intelligence (AI) in orthopaedic within lower-middle-income countries (LMICs)...
This study focuses on the current applications, potential, and challenges to Artificial Intelligence...
Artificial Intelligence (AI) applied to radiology is so vast that it provides applications ranging f...
Tuberculosis, which primarily affects developing countries, remains a significant global health conc...
The emergence of Chat Generative Pre-trained Transformer (ChatGPT), a chatbot developed by OpenAI, h...
In the process of robot-assisted training for upper limb rehabilitation, a passive training strategy...
The association between electronic health record (EHR) documentation and physician burnout is well-k...
Recently, artificial intelligence generated content (AIGC) has been receiving increased attention an...
Excessive documentation burden is linked to clinician burnout, thus motivating efforts to reduce bur...