Latest AI and machine learning research in surgery for healthcare professionals.
There has been tremendous growth in the amount of new surgical site infection (SSI) data generated....
Racial disparities in the utilization of epilepsy surgery are well documented, but it is unknown whe...
INTRODUCTION: To facilitate the initial clinical decision regarding whether to use esophagectomy alo...
Since the advantages of precise operation and effective reduction of radiation, robots have become o...
Machine learning (ML) involves algorithms learning patterns in large, complex datasets to predict an...
OBJECTIVE: Conventional surgical assistance and skill analysis for suturing mostly focus on the moti...
OBJECTIVE: To explore the value of radiomics features on non-contrast computed tomography (NCCT) in ...
Untethered microgrippers that can navigate in hard-to-reach and unpredictable environments are signi...
Background and Purpose- The clinical course of acute ischemic stroke with large vessel occlusion (LV...
Locomotion mode recognition across multiple sessions and days is an indispensable step towards the p...
BACKGROUND: Hyperglycemia or high blood glucose during surgery is associated with poor postoperative...
This study investigated the impact of coronary CT angiography (cCTA)-derived plaque markers and mach...
BACKGROUND: We aimed to demonstrate that supervised machine learning (ML) models can better predict ...
BACKGROUND: Quality monitoring is increasingly important to support and assure sustainability of the...
OBJECTIVES: To compare the early (≤30 days) postoperative mortality and morbidity in patients who un...
IMPORTANCE: Despite advances in the assessment of technical skills in surgery, a clear understanding...
Anklebot therapy has proven to be effective in improving hemiparetic gait. However, neither ankle t...
To investigate by means of a randomized clinical trial the safety of no drain in the pelvic cavity ...