Surgery

Latest AI and machine learning research in surgery for healthcare professionals.

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Do predictors of motor recovery differ between robotic and conventional post-stroke rehabilitation?

BACKGROUND: While research on robotic rehabilitation has largely focused on evaluating device effect...

(1)
May 2026 42121151
Benchmarking large language models in breast cancer care: agreement with radiology-led multidisciplinary tumor board decisions.

BACKGROUND: Multidisciplinary tumor boards (MDTBs) play a central role in breast cancer management b...

May 2026 42121209
Shaping the future of postoperative recurrence in Crohn's disease: personalised approaches with AI-enabled imaging and multi-omics.

Postoperative recurrence (POR) is a major challenge in the long-term management of Crohn's disease (...

May 2026 41592952
Optimizing treatment strategies for femoral neck fractures using a machine learning model.

BACKGROUND: Recently, advances in machine learning models have allowed for automatic and highly accu...

May 2026 42116158
Artificial Intelligence for Colorectal Surgeons - Part II: Research Applications, Challenges in Adoption and Practical Resources.

BACKGROUND: This is Part II of a two-part series examining artificial intelligence (AI) in colorecta...

May 2026 42117468
How robotic platforms have expanded the boundaries of minimally invasive surgery: a narrative review.

Robotic surgery has evolved from a technological adjunct into a major platform for extending the rea...

May 2026 42118464
Research landscape, knowledge structure, and emerging frontiers of robot-assisted surgery for urolithiasis: a bibliometric and visualization analysis.

Robot-assisted techniques have been increasingly explored in urolithiasis, particularly in selected ...

May 2026 42118468
Lumbar, thoracic, and bilateral vertebral body tethering: do surgical outcomes differ?

PURPOSE: VBT is increasingly being used in the lumbar spine to preserve mobility. Surgeons have note...

May 2026 42120787
Predicting drainage success of peritonsillar abscesses: a radiomics-based machine learning approach using contrast-enhanced computed tomography.

PURPOSE: To develop and validate radiomics-based machine learning models combined with clinical para...

May 2026 42109243
Assessing the Reliability of MRI and CT Scans for Liver Volume Estimation in Patients Undergoing Liver Transplantation.

OBJECTIVE: Magnetic resonance imaging (MRI) and computed tomography (CT) are commonly used to measur...

May 2026 42112599
Percutaneous endoscopic interlaminar discectomy in patients with lumbar disc herniation: risk factors and thresholds for adverse outcomes.

BACKGROUND: Percutaneous endoscopic interlaminar discectomy (PEID) is a common surgical technique fo...

(3)
May 2026 42113236
Natural Language Processing for Automated Classification of Cleft and Craniofacial Procedures From Operative Notes: Model Development and Feasibility Study.

BACKGROUND: The accurate classification of operative notes is essential for surgical outcomes resear...

(3)
May 2026 42113973
Computational neuroelectrophysiology and artificial intelligence for drug-resistant epilepsy: Recent advances, current challenges, and future directions.

Drug-resistant epilepsy (DRE) affects approximately 30% of epilepsy patients, with surgical cure rat...

May 2026 42114563
State of the Art: Scapholunate Ligament Injuries.

ABSTRACT: Scapholunate ligament injuries are the most common ligamentous injuries of the wrist and t...

May 2026 42114702
Propensity score-matched multicentric observational cohort study comparing robotic cholecystectomy with laparoscopic cholecystectomy.

BACKGROUND: With increasing penetration of robotic surgery, robotic cholecystectomies are becoming m...

May 2026 42115368
Application of deep learning for surgical decision support during single-incision laparoscopic cholecystectomy.

OBJECTIVE: This study aimed to develop an Artificial intelligence (AI) model based on Mask2Former to...

(1)
May 2026 42115370
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