AI Medical Compendium Journal:
Surgery

Showing 71 to 78 of 78 articles

Autonomous detection, grading, and reporting of postoperative complications using natural language processing.

Surgery
INTRODUCTION: Natural language processing, a computer science technique that allows interpretation of narrative text, is infrequently used to identify surgical complications. We designed a natural language processing algorithm to identify and grade t...

Postoperative bleeding risk prediction for patients undergoing colorectal surgery.

Surgery
BACKGROUND: There is limited consensus regarding risk factors for postoperative bleeding. The objective of this work was to investigate the capability of machine learning techniques in combination with practice-based longitudinal electronic medical r...

Are postoperative intravenous fluids in patients undergoing elective laparoscopic cholecystectomy a necessity? A randomized clinical trial.

Surgery
BACKGROUND: Intravenous (IV) fluid therapy should be individualized according to each patient's weight, disease, and comorbidities, as well as the type and duration of the operative procedure. Laparoscopic cholecystectomy represents one of the most c...

Improving diagnostic recognition of primary hyperparathyroidism with machine learning.

Surgery
BACKGROUND: Parathyroidectomy offers the only cure for primary hyperparathyroidism, but today only 50% of primary hyperparathyroidism patients are referred for operation, in large part, because the condition is widely under-recognized. The diagnosis ...