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Surgical Oncology

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Deep Learning and Multidisciplinary Imaging in Pediatric Surgical Oncology: A Scoping Review.

Cancer medicine
BACKGROUND: Medical images play an important role in diagnosis and treatment of pediatric solid tumors. The field of radiology, pathology, and other image-based diagnostics are getting increasingly important and advanced. This indicates a need for ad...

Surgical data science and artificial intelligence for surgical education.

Journal of surgical oncology
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 capture has increased and artificial intelligence (AI) has advanc...

Patient generated health data and electronic health record integration in oncologic surgery: A call for artificial intelligence and machine learning.

Journal of surgical oncology
In this review, we aim to assess the current state of science in relation to the integration of patient-generated health data (PGHD) and patient-reported outcomes (PROs) into routine clinical care with a focus on surgical oncology populations. We wil...

Evolution of a Novel Robotic Training Curriculum in a Complex General Surgical Oncology Fellowship.

Annals of surgical oncology
BACKGROUND: Robotic surgery is increasingly being used for complex oncologic operations, although currently there is no standardized curriculum in place for surgical oncologists. We describe the evolution of a proficiency-based robotic training progr...