Latest AI and machine learning research in surgery for healthcare professionals.
Erroneous eyewitness identification evidence is likely the leading cause of wrongful convictions. To...
Nature abounds with examples of ultra-sensitive perception and agile body transformation for highly ...
To investigate whether peritumoral edema (PE) could enhance deep learning radiomic (DLR) model in pr...
BACKGROUND: Postoperative liver metastasis significantly impacts the prognosis of pancreatic neuroen...
Transcutaneous spinal stimulation (TSS) is a promising rehabilitative intervention to restore motor ...
PURPOSE: Conventional normal tissue complication probability (NTCP) models for patients with head an...
BACKGROUND: Postoperative hypoparathyroidism is a major complication of thyroidectomy, occurring whe...
Tumor-stroma ratio (TSR) has been recognized as a valuable prognostic indicator in various solid tum...
BACKGROUND: The volume measurement of intracerebral hemorrhage (ICH) and intraventricular hemorrhage...
We aimed to develop machine learning (ML) algorithms for the automated prediction of postoperative ...
As robots are increasingly participating in our daily lives, the quests to mimic human abilities hav...
PURPOSE: To evaluate a deep learning-based pipeline using a Dense-UNet architecture for the assessme...
With the fast development of AI technologies, deep learning is widely applied for biomedical data an...
PURPOSE: To construct a quantitative evaluation system for hand tremor during internal limiting memb...
BACKGROUND: Superior surgical skill improves surgical outcomes in endoscopic pituitary adenoma surge...
INTRODUCTION: Due to the complex anatomy of the spine and the intricate surgical procedures involved...
OBJECTIVE: We used machine learning to develop and validate a multivariable algorithm allowing the a...
We developed a surgical support system that visualises important microanatomies using artificial int...
BACKGROUND: The objective of this study was to define clinically meaningful phenotypes of intracereb...
Robotic arms are increasingly being utilized in shared workspaces, which necessitates the accurate i...
BACKGROUND: Accurate volumetric assessment of spontaneous aneurysmal subarachnoid hemorrhage (aSAH) ...