Surgical data science and artificial intelligence for surgical education
Surgical data science (SDS) aims to improve the quality of interventional healthcare and its
value through the capture, organization, analysis, and modeling of procedural data. As data …
value through the capture, organization, analysis, and modeling of procedural data. As data …
A systematic review and bibliometric analysis of applications of artificial intelligence and machine learning in vascular surgery
Background Artificial intelligence (AI) and machine learning (ML) have seen increasingly
intimate integration with medicine and healthcare in the last 2 decades. The objective of this …
intimate integration with medicine and healthcare in the last 2 decades. The objective of this …
The use of artificial intelligence tools to prepare medical school applications
DA Hashimoto, KB Johnson - Academic Medicine, 2023 - journals.lww.com
Advances in artificial intelligence (AI) have been changing the landscape in daily life and the
practice of medicine. As these tools have evolved to become consumer-friendly, AI has …
practice of medicine. As these tools have evolved to become consumer-friendly, AI has …
Multicentric exploration of tool annotation in robotic surgery: lessons learned when starting a surgical artificial intelligence project
P De Backer, JA Eckhoff, J Simoens, DT Müller… - Surgical …, 2022 - Springer
Background Artificial intelligence (AI) holds tremendous potential to reduce surgical risks
and improve surgical assessment. Machine learning, a subfield of AI, can be used to …
and improve surgical assessment. Machine learning, a subfield of AI, can be used to …
Gamification for machine learning in surgical patient engagement
Patients and their surgeons face a complex and evolving set of choices in the process of
shared decision making. The plan of care must be tailored to individual patient risk factors …
shared decision making. The plan of care must be tailored to individual patient risk factors …
Rethinking autonomous surgery: focusing on enhancement over autonomy
Context As robot-assisted surgery is increasingly used in surgical care, the engineering
research effort towards surgical automation has also increased significantly. Automation …
research effort towards surgical automation has also increased significantly. Automation …
Three‐dimensional modelling as a novel interactive tool for preoperative planning for complex perianal fistulas in Crohn's disease
S Jeri‐McFarlane, Á García‐Granero… - Colorectal …, 2023 - Wiley Online Library
Aim The aim of this study is to demonstrate the added value of three‐dimensional (3D)
reconstruction models and artificial intelligence for preoperative planning in complex …
reconstruction models and artificial intelligence for preoperative planning in complex …
Practical guide to machine learning and artificial intelligence in surgical education research
Introduction Artificial intelligence (AI) is the study of machine intelligence as it relates to
perceiving and inferring data, typically with the goal of approximating human performance …
perceiving and inferring data, typically with the goal of approximating human performance …
Building an automated, machine learning-enabled platform for predicting post-operative complications
Objective. In 2019, the University of Florida College of Medicine launched the
MySurgeryRisk algorithm to predict eight major post-operative complications using …
MySurgeryRisk algorithm to predict eight major post-operative complications using …
Supr-Gan: surgical prediction GAN for event anticipation in laparoscopic and robotic surgery
Comprehension of surgical workflow is the foundation upon which artificial intelligence (AI)
and machine learning (ML) holds the potential to assist intraoperative decision making and …
and machine learning (ML) holds the potential to assist intraoperative decision making and …