Latest AI and machine learning research in devices and vaccines for healthcare professionals.
Preoperative risk assessment is essential for shared decision-making and adequate perioperative care...
Animals rely on different decision strategies when faced with ambiguous or uncertain cues. Depending...
Electrical data could be a new source of big-data for training artificial intelligence (AI) for drug...
BACKGROUND: Robot-assisted total knee arthroplasty (r-TKA) can reportedly achieve more accurate impl...
OBJECTIVES: Robot-guided implant placement based on the screw marker-assisted registration technique...
Medical image segmentation enables doctors to observe lesion regions better and make accurate diagno...
As a result of evolutionary selection, the subunits of naturally occurring protein assemblies often ...
Reported rates of recommendations for additional imaging (RAIs) in radiology reports are low. Bidir...
PURPOSE: A robotic assistive device is developed for needle-based percutaneous interventions. The ai...
Older adults are more vulnerable to falling due to normal changes due to aging, and their falls are ...
PURPOSE: The main objective of this study is to evaluate the short-term and long-term audiological o...
Inhibition of pathological angiogenesis has become one of the first FDA approved targeted therapies ...
BACKGROUND: In this study, we investigated whether deep learning-based prediction of osseointegratio...
The paper proposes a methodology based on Natural Language Processing (NLP) and Sentiment Analysis (...
Deep learning has led to incredible breakthroughs in areas of research, from self-driving vehicles t...
Clinical effects of antihyperglycemic agents poisoning may overlap each other. So, distinguishing ex...
OBJECTIVE: The purpose of this study is to develop and validate a deep convolutional neural network ...
Minimally invasive repair of pectus excavatum (MIRPE) is an effective method for correcting pectus e...
This study aimed to evaluate the accuracy of automated deep learning (DL) algorithm for identifying ...
Left ventricular mass is a risk marker for cardiovascular events, and may indicate an underlying car...
BACKGROUND: Surgical management of complications following knee arthroplasty demands accurate and ti...