Latest AI and machine learning research in surgery for healthcare professionals.
Generative artificial intelligence (AI) holds great promise in neurointerventional surgery by providing clinicians with powerful tools for improving surgical precision, accuracy of diagnoses, and treatment planning. However, potential perils include biases or inaccuracies in the data used to train the algorithms, over-reliance on generative AI without human oversight, patient privacy concerns, and...
BACKGROUND: Trans-abdominal pre-peritoneal (TAPP) hernia repair is a complex procedure that presents several challenges. Even though, due to the high prevalence of inguinal hernia, TAPP technique is increasing in frequency and robotic Abdominal Wall Surgery (rAWS) is emerging as a valuable tool in this regard. Although inguinal TAPP procedure principles have been published and simulation is needed...
Although robotic-assisted surgery has the advantages of low patient burden and high precision without unsteady hand movements, the lack of tactile sen...
BACKGROUND: Minimally invasive lobectomy is the standard treatment for early stage non-small cell lung cancer (NSCLC). The aim of this study is to inv...
PURPOSE: Focused parathyroidectomy is the gold standard treatment modality for primary hyperparathyroidism, which allows accurate preoperative localiz...
Robot-assisted surgery refers to a surgeon controlling a robotic device that performs an operation. This viewpoint explores the current state of robot...
Duodenal stenosis is a condition that can be related to several diseases, being either intrinsic, such as neoplasm and inflammatory stenosis, or extri...
Congenital cholesteatoma accounts for 25% of cholesteatoma cases in children. Transcanal Endoscopic Ear Surgery (TEES) is ideal for these patients bec...
INTRODUCTION: Pancreatic cancer (PC) has an extremely poor prognosis, even with surgical resection and triplet chemotherapy treatment. Cancer immunoth...
We began using the da Vinci single port (SP) robot for pediatric urologic surgeries at our institution due to limited access to the multiport robot. A...
Robotic operations as a further development of conventional laparoscopic surgery have been introduced for nearly all interventions in visceral surgery...
Small-scale magnetic soft-bodied robots can be designed to operate based on different locomotion modes to navigate and function inside unstructured, c...
Endometriosis affects 1 in 9 women and those assigned female at birth. However, it takes 6.4 years to diagnose using the conventional standard of lapa...
This paper develops a new approach to post-selection inference for screening high-dimensional predictors of survival outcomes. Post-selection inferenc...
BACKGROUND: Currently, widely used robotic surgical systems do not provide force feedback. This study aimed to evaluate the impact and benefits of a f...
Artificial intelligence is a rapidly evolving area of technology whose integration into healthcare delivery infrastructure is predicted to have profou...
OBJECTIVES: The selection of treatment for maxillary expansion is closely related to the calcification degree of the midpalatal suture. A classificati...
BACKGROUND: Benign biliary disease (BBD) is a prevalent condition involving patients who require extrahepatic bile duct resections and reconstructions...
[This retracts the article DOI: 10.1155/2022/6204089.].