AIMC Topic: Morbidity

Clear Filters Showing 11 to 20 of 47 articles

Practice-Based Learning and Improvement: Improving Morbidity and Mortality Review Using Natural Language Processing.

The Journal of surgical research
INTRODUCTION: Practice-Based Learning and Improvement, a core competency identified by the Accreditation Council for Graduate Medical Education, carries importance throughout a physician's career. Practice-Based Learning and Improvement is cultivated...

Surgomics: personalized prediction of morbidity, mortality and long-term outcome in surgery using machine learning on multimodal data.

Surgical endoscopy
BACKGROUND: Personalized medicine requires the integration and analysis of vast amounts of patient data to realize individualized care. With Surgomics, we aim to facilitate personalized therapy recommendations in surgery by integration of intraoperat...

[Morbidity of extended pelvic lymphadenectomy during robot-assisted laparoscopic prostatectomy for localized cancer prostate].

Progres en urologie : journal de l'Association francaise d'urologie et de la Societe francaise d'urologie
OBJECTIVES: To assess the morbidity specific of extended pelvic lymphadenectomy during robot-assisted laparoscopic radical prostatectomy in a 8 year retrospective study.

Machine-learning models for predicting surgical site infections using patient pre-operative risk and surgical procedure factors.

American journal of infection control
BACKGROUND: Surgical site infections (SSIs) are a significant health care problem as they can cause increased medical costs and increased morbidity and mortality. Assessing a patient's preoperative risk factors can improve risk stratification and hel...

Robotic pancreatoduodenectomy: trends in technique and training challenges.

Surgical endoscopy
BACKGROUND: More complex cases are being performed robotically. This study aims to characterize trends in robotic pancreatoduodenectomy (RPD) over time and assess opportunities for advanced trainees.