Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Osteoporosis and loss of muscle mass are secondary issues with spinal cord injury. Robotic gait trai...
. Radiation therapy (RT) represents a prevalent therapeutic modality for head and neck (H&N) cancer....
In the past three decades, interest in using carbon-based nanomaterials (CBNs) in biomedical applica...
As dynamic graphs have become indispensable in numerous fields due to their capacity to represent ev...
This article presents a study, intending to design a model with 90% reliability, which helps in the ...
BACKGROUND: Artificial intelligence (AI) large language models (LLMs) such as ChatGPT have demonstra...
OBJECTIVES: To evaluate the effectiveness of robot-assisted therapy (RAT) followed by activities of ...
PURPOSE: The purpose of this study was to evaluate the capabilities of photon-counting (PC) CT combi...
Breast ultrasound is used in a wide variety of clinical scenarios, including both diagnostic and scr...
BACKGROUND: Digital subtraction angiography (DSA) is a fluoroscopy method primarily used for the dia...
Dam (reservoir)-induced alterations of flow and water temperature regimes can threaten downstream fi...
BACKGROUND: ChatGPT, an artificial intelligence (AI) based on large-scale language models, has spark...
Artificial intelligence (AI)-assisted diagnosis is an ongoing revolution in pathology. However, a fr...
BACKGROUND: Subject screening is a key aspect of all clinical trials; however, traditionally, it is ...
OBJECTIVES: To assess the performance bias caused by sampling data into training and test sets in a ...
Many studies have been conducted with the goal of correctly predicting diagnostic status of a disord...
Mastitis has a substantial impact on the dairy industry across the world, causing dairy producers to...
Class imbalance problem (CIP) in a dataset is a major challenge that significantly affects the perfo...
The identification and classification of selective sweeps are of great significance for improving th...
The U-shaped convolutional neural network (CNN) has attained remarkable achievements in the segmenta...
Motion represents one of the major challenges in magnetic resonance imaging (MRI). Since the MR sign...