Latest AI and machine learning research in surveys for healthcare professionals.
The weight-updating methods have played an important role in improving the performance of neural net...
The aims are to explore the construction of the knowledge management model for engineering cost cons...
Recent technological advancements have led to the development and implementation of robotic surgery ...
A popular unsupervised learning method, known as clustering, is extensively used in data mining, mac...
Child mortality from preventable diseases such as pneumonia and diarrhoea in low and middle-income c...
Offshore oil and gas platforms have a finite life of production operations. Once production ceases, ...
Whole-body imaging of mice is a key source of information for research. Organ segmentation is a prer...
Robotic transcranial magnetic stimulation (TMS) is a noninvasive and safe tool that produces cortica...
To describe OB/GYN fellowship directors' (FDs) observations, expectations, and preferences of incomi...
The lightning search algorithm (LSA) is a novel meta-heuristic optimization method, which is propose...
The medical community is in agreement that artificial intelligence (AI) will have a radical impact ...
Avoidance behavior is a key contributor to the transition from acute pain to chronic pain disability...
In recent years, there has been a dramatic increase in research papers about machine learning (ML) a...
To perform a systematic review and meta-analysis comparing the outcomes of robotic-assisted laparosc...
Machine learning (ML) algorithms have demonstrated high diagnostic accuracy in identifying and categ...
Frailty, one of the major public health problems in the elderly, can result from multiple etiologic ...
The prediction of post-prostatectomy incontinence (PPI) after robot-assisted radical prostatectomy (...
Previous studies have demonstrated the feasibility of reducing noise with deep learning-based method...
Human activity recognition and neural activity analysis are the basis for human computational neureo...
Performance during seated balancing is often used to assess trunk neuromuscular control, including e...
In order to solve the problem of data loss in sensor data collection, this paper took the stem moist...