Latest AI and machine learning research in surgery for healthcare professionals.
Our aim was to develop a machine learning-based predictor for early mortality and severe intraventri...
 Natural language processing (NLP), a subset of artificial intelligence (AI), aims to decipher unst...
BACKGROUND: Clinical decision-making in gastrointestinal surgery is complex due to the unpredictabil...
This narrative review explores the utilization of machine learning (ML) and artificial intelligence ...
PURPOSE: The debate surrounding factors influencing postoperative flatus and defecation in patients ...
Appropriate needle manipulation to avoid abrupt deformation of fragile vessels is a critical determi...
PURPOSE: In surgical image segmentation, a major challenge is the extensive time and resources requi...
BACKGROUND: The American Society for Metabolic and Bariatric Surgery (ASMBS) textbook serves as a co...
BACKGROUND: Bronchopulmonary dysplasia-associated pulmonary hypertension (BPD-PH) remains a devastat...
BACKGROUND:  Managing acute postoperative pain and minimizing chronic opioid use are crucial for pat...
OBJECTIVE: Machine learning and deep learning techniques offer a promising multidisciplinary solutio...
This review presents a comprehensive history of Artificial Intelligence (AI) in the context of the r...
The monitoring of organic compounds in aquatic matrices poses challenges due to its complexity and t...
Performing a minimally invasive surgery comes with a significant advantage regarding rehabilitating ...
PURPOSE: This study aimed to develop machine learning algorithms for identifying predictive factors ...
Image-based deep learning models are used to extract new information from standard hematoxylin and e...
This article presents a study on the neurobiological control of voluntary movements for anthropomorp...
Clinical trials involving systemic neoadjuvant treatments in breast cancer aim to shrink tumors befo...
OBJECTIVE: Our objective was to develop a machine learning model capable of predicting irrational me...
This retrospective study applied machine-learning models to predict treatment outcomes of women unde...
In recent years, an increasing number of medical engineering tasks, such as surgical navigation, pre...