AIMC Topic: Retrospective Studies

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A cumulative sum (CUSUM) analysis studying operative times and complications for a surgeon transitioning from laparoscopic to robot-assisted pediatric pyeloplasty: Defining proficiency and competency.

Journal of pediatric urology
INTRODUCTION: The transition from laparoscopic to robot-assisted procedures leads to potential increase in operative times and health care costs. Cumulative sum (CUSUM) analysis can objectively study the learning curve to detect significant changes i...

Trends in Robot-Assisted Procedures for General Surgery in the Veterans Health Administration.

The Journal of surgical research
INTRODUCTION: Implementation of robot-assisted procedures is growing. Utilization within the country's largest healthcare network, the Veterans Health Administration, is unclear.

Deep learning-based diagnosis from endobronchial ultrasonography images of pulmonary lesions.

Scientific reports
Endobronchial ultrasonography with a guide sheath (EBUS-GS) improves the accuracy of bronchoscopy. The possibility of differentiating benign from malignant lesions based on EBUS findings may be useful in making the correct diagnosis. The convolutiona...

A deep learning algorithm for classification of oral lichen planus lesions from photographic images: A retrospective study.

Journal of stomatology, oral and maxillofacial surgery
INTRODUCTION: Deep learning methods have recently been applied for the processing of medical images, and they have shown promise in a variety of applications. This study aimed to develop a deep learning approach for identifying oral lichen planus les...

Machine learning applications in upper gastrointestinal cancer surgery: a systematic review.

Surgical endoscopy
BACKGROUND: Machine learning (ML) has seen an increase in application, and is an important element of a digital evolution. The role of ML within upper gastrointestinal surgery for malignancies has not been evaluated properly in the literature. Theref...

Evaluation of auto-segmentation for EBRT planning structures using deep learning-based workflow on cervical cancer.

Scientific reports
Deep learning (DL) based approach aims to construct a full workflow solution for cervical cancer with external beam radiation therapy (EBRT) and brachytherapy (BT). The purpose of this study was to evaluate the accuracy of EBRT planning structures de...

Predicting demographic characteristics from anterior segment OCT images with deep learning: A study protocol.

PloS one
INTRODUCTION: Anterior segment optical coherence tomography (AS-OCT) is a non-contact, rapid, and high-resolution in vivo modality for imaging of the eyeball's anterior segment structures. Because progressive anterior segment deformation is a hallmar...

Noncirrhotic Portal Hypertension after Trastuzumab Emtansine in HER2-positive Breast Cancer as Determined by Deep Learning-measured Spleen Volume at CT.

Radiology
Background Trastuzumab emtansine (T-DM1) is an antibody-drug conjugate approved for use in human epidermal growth factor receptor 2 (HER2)-positive breast cancer. Case reports have suggested an association between T-DM1 and portal hypertension. Purpo...

Analyses of operative time according to procedure phases during robot-assisted laparoscopic partial nephrectomy using the iPhone application "My Intuitives".

International journal of urology : official journal of the Japanese Urological Association
PURPOSE: We investigated operative time according to procedure phases in robot-assisted laparoscopic partial nephrectomy (RAPN) and identify variables associated with longer operative time in each procedure phase.