Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
TubeTracker provides a method to partially automate analysis of pollen tube growth using live imagin...
This narrative review explores the transformative impact of artificial intelligence (AI) in sport, c...
Triple-negative breast cancer (TNBC) is an aggressive subtype characterized by its lack of estrogen,...
The SARS-CoV-2 RNA virus, with its rapid spread and frequent genetic changes, has posed unparalleled...
BACKGROUND: Stroke-induced upper limb dysfunction requires functional assessment and rehabilitation....
Thorough investigations of end-users' awareness, acceptance, and concerns about ophthalmic artificia...
The -1 programmed ribosomal frameshifting (-1 PRF) in severe acute respiratory syndrome coronavirus ...
In the digital era, photodetectors have become indispensable components in optical communication, im...
There is a need to help advance research on using machine learning and data mining techniques in phy...
Cytomorphological analysis of the bone marrow aspirate (BMA) is pivotal for the diagnostic workup of...
Cervical cancer remains a leading cause of cancer-related death among women globally, despite the av...
OBJECTIVE: This study aimed to evaluate the effectiveness of a virtual reality (VR) training system ...
Machine learning methods provide a great scope for developing ab initio quality potentials for diver...
Retinal age has emerged as a promising biomarker of aging, offering a non-invasive and accessible as...
Driven by the shift of artificial intelligence (AI)Â workloads to edge devices, there is a growing de...
Machine Learning (ML) algorithms are vital for supporting clinical decision-making in biomedical inf...
With the increasing prevalence of respiratory diseases such as pneumonia and COVID-19, timely and ac...
Stroke is the second leading cause of death, accounting for 11% of deaths worldwide. Comparing diffu...
Real-time isotope identification in urban environments can aid law enforcement by providing addition...
Selecting an effective training signal for machine learning tasks is difficult: expert annotations a...
Mitigating carbon dioxide (CO) emissions, which are a principal contributor to global warming, neces...