BACKGROUND: Given the challenges of teaching in robotic operating rooms, we sought to investigate the language of perceptual expertise used by robotic surgeons, in an effort to improve current approaches to robotic training.
In this article, the author provides synopses of the factors that have finally propelled health-care education and practice to join, at times reluctantly, the overarching digital transformative process that has been swept other industries over the la...
The use of robot-assisted frameless stereotactic electroencephalography (SEEG) is becoming more common. Among available robotic arms, Stealth Autoguide (SA) (Medtronic, Minneapolis, MN, USA) functions as an optional instrument of the neuronavigation ...
In digital pathology, segmentation is a fundamental task for the diagnosis and treatment of diseases. Existing fully supervised methods often require accurate pixel-level annotations that are both time-consuming and laborious to generate. Typical app...
International journal of medical informatics
May 25, 2022
BACKGROUND AND OBJECTIVES: The importance of clinical natural language processing (NLP) has increased with the adoption of electronic health records (EHRs). One of the critical tasks in clinical NLP is named entity recognition (NER). Clinical NER in ...
Genetics in medicine : official journal of the American College of Medical Genetics
May 25, 2022
Deep learning (DL) is applied in many biomedical areas. We performed a scoping review on DL in medical genetics. We first assessed 14,002 articles, of which 133 involved DL in medical genetics. DL in medical genetics increased rapidly during the stud...
Neurosurgery clinics of North America
May 25, 2022
Machine learning (ML) is an increasingly popular method of data analysis that has meaningful application within the realm of pain management. Current research has used this technique as a tool to refine patient selection for more invasive pain manage...
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