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Artificial intelligence and surgical education: a systematic sco** review of interventions
OBJECTIVE To synthesize peer-reviewed evidence related to the use of artificial intelligence
(AI) in surgical education DESIGN We conducted and reported a sco** review according …
(AI) in surgical education DESIGN We conducted and reported a sco** review according …
[HTML][HTML] Microsurgery robots: applications, design, and development
Microsurgical techniques have been widely utilized in various surgical specialties, such as
ophthalmology, neurosurgery, and otolaryngology, which require intricate and precise …
ophthalmology, neurosurgery, and otolaryngology, which require intricate and precise …
Continuous monitoring of surgical bimanual expertise using deep neural networks in virtual reality simulation
In procedural-based medicine, the technical ability can be a critical determinant of patient
outcomes. Psychomotor performance occurs in real-time, hence a continuous assessment is …
outcomes. Psychomotor performance occurs in real-time, hence a continuous assessment is …
Evaluation of surgical skill using machine learning with optimal wearable sensor locations
Evaluation of surgical skills during minimally invasive surgeries is needed when recruiting
new surgeons. Although surgeons' differentiation by skill level is highly complex …
new surgeons. Although surgeons' differentiation by skill level is highly complex …
[HTML][HTML] Automated tool detection with deep learning for monitoring kinematics and eye-hand coordination in microsurgery
In microsurgical procedures, surgeons use micro-instruments under high magnifications to
handle delicate tissues. These procedures require highly skilled attentional and motor …
handle delicate tissues. These procedures require highly skilled attentional and motor …
Uncharted waters of machine and deep learning for surgical phase recognition in neurosurgery
Recent years have witnessed artificial intelligence (AI) make meteoric leaps in both
medicine and surgery, bridging the gap between the capabilities of humans and machines …
medicine and surgery, bridging the gap between the capabilities of humans and machines …
Neurosurgical skills analysis by machine learning models: systematic review
Abstract Machine learning (ML) models are being actively used in modern medicine,
including neurosurgery. This study aimed to summarize the current applications of ML in the …
including neurosurgery. This study aimed to summarize the current applications of ML in the …
3D autonomous surgeon's hand movement assessment using a cascaded fuzzy supervisor in multi-thread video processing
The purpose of the Fundamentals of Laparoscopic Surgery (FLS) training is to develop
laparoscopic surgery skills by using simulation experiences. Several advanced training …
laparoscopic surgery skills by using simulation experiences. Several advanced training …
Artificial Intelligence Analysis Using MRI and PET Imaging in Gliomas: A Narrative Review
Simple Summary The use of AI on medical images (CT, MRI, PET) has become a primary
clinical and research interest. The main issues of these applications are strictly related to the …
clinical and research interest. The main issues of these applications are strictly related to the …
Deep learning-based video-analysis of instrument motion in microvascular anastomosis training
Purpose Attaining sufficient microsurgical skills is paramount for neurosurgical trainees.
Kinematic analysis of surgical instruments using video offers the potential for an objective …
Kinematic analysis of surgical instruments using video offers the potential for an objective …