Latest AI and machine learning research in work force for healthcare professionals.
We consider the dynamics imposed by natural selection on the populations of two competing, sexually reproducing, haploid species. In this setting, the fitness of any genome varies over time due to the changing population mix of the competing species; crucially, this fitness variation arises naturally from the model itself, without the need for imposing it exogenously as is typically the case. Pr...
As teleheath becomes integrated into the practice of medicine, it is important to understand the benefits, limitations, and variety of applications. Telestroke was an early example of teleneurology that arose from a need for urgent access to neurologists for time-sensitive treatments for stroke. It made a scarce resource widely available via video conferencing technologies. Additionally, applicati...
Hymenoptera has some of the highest diversity and number of individuals among insects. Many of these species potentially play key roles as food source...
Renal pathology is a relatively recent entry in nephrology. While diseases of the kidney are old, their study began in the 19th century with the repor...
Integrating Artificial Intelligence (AI) in orthopaedic within lower-middle-income countries (LMICs) promises landmark improvement in patient care. De...
This study focuses on the current applications, potential, and challenges to Artificial Intelligence (AI) integration in vascular surgery with specifi...
Artificial Intelligence (AI) applied to radiology is so vast that it provides applications ranging from becoming a complete replacement for radiologis...
Tuberculosis, which primarily affects developing countries, remains a significant global health concern. Since the 2010s, the role of chest radiograph...
The emergence of Chat Generative Pre-trained Transformer (ChatGPT), a chatbot developed by OpenAI, has garnered interest in the application of generat...
In the process of robot-assisted training for upper limb rehabilitation, a passive training strategy is usually used for stroke patients with flaccid ...
The association between electronic health record (EHR) documentation and physician burnout is well-known. A combination of insufficient time to comple...
Recently, artificial intelligence generated content (AIGC) has been receiving increased attention and is growing exponentially. AIGC is generated base...
Excessive documentation burden is linked to clinician burnout, thus motivating efforts to reduce burden. Generative artificial intelligence (AI) poses...
The increase in utilization of patient portal messages has imposed a considerable burden on healthcare providers, contributing to an increased inciden...
INTRODUCTION: The superiority of the functional results of robot-assisted radical prostatectomyis still controversial. Despite this, it is known that ...
While musculoskeletal imaging volumes are increasing, there is a relative shortage of subspecialized musculoskeletal radiologists to interpret the stu...
Purpose To develop an end-to-end deep learning (DL) pipeline for automated ventricular segmentation of cardiac MRI data from a multicenter registry of...
Flow cytometry (FC) is routinely used for hematological disease diagnosis and monitoring. Advancement in this technology allows us to measure an incre...
BACKGROUND: The recent advancements and detailed studies in the field of 3D bioprinting have made it a promising avenue in the field of organ shortage...