Latest AI and machine learning research in surgery for healthcare professionals.
Integrating robotically driven contact-based material characterization techniques into self-driving ...
Features of new bleeding on conventional imaging in cerebral cavernous malformations (CCMs) often di...
This study aimed to evaluate the accuracy, clarity, and scientific adequacy of ChatGPT's responses t...
Kidney transplantation (KT) is an effective treatment for end-stage renal disease; however, the life...
BACKGROUND: Perioperative electrocardiographic monitoring can offer immediate detection of myocardia...
OBJECTIVE: To develop an AI-based pipeline to assess and triage patient-submitted postoperative woun...
To develop and validate a machine-learning (ML) model that pre-operatively predicts cerebrospinal-fl...
BACKGROUND: Automated surgical skill assessment using artificial intelligence (AI) in laparoscopic c...
Refractory wounds cause significant harm to the health of patients and the most common treatments in...
BACKGROUND: Surgical resection is an effective treatment for medically refractory mesial temporal lo...
The development of effective algorithms for removing surgical smoke in laparoscopic surgery has been...
To evaluate the effectiveness of deep learning radiomics nomogram in distinguishing early intracrani...
Cervical cancer (CC) is a major cause of mortality in women, with stagnant survival rates, highlight...
Hip fractures among the elderly population continue to present significant risks and high mortality ...
Natural orifice transluminal endoscopic surgery (NOTES) represents an innovative advancement in mini...
Esophagogastroduodenoscopy (EGD) is the pivotal procedure for diagnosis of upper gastrointestinal (U...
INTRODUCTION: Non-surgical aesthetic treatments (NSATs) have gained significant traction over the pa...
The emergence of large language models (LLMs) opens new horizons to leverage, often unused, informat...
Postoperative cognitive dysfunction (POCD), a heterogeneous spectrum of surgery/anesthesia-associate...
A machine learning model was developed and validated to predict postoperative complications in patie...
Reconstructive flap surgery aims to restore the substance and function losses associated with tumor ...