AIMC Topic: Retrospective Studies

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Deep learning-guided weighted averaging for signal dropout compensation in DWI of the liver.

Magnetic resonance in medicine
PURPOSE: To develop an algorithm for the retrospective correction of signal dropout artifacts in abdominal DWI resulting from cardiac motion.

Clavien-Dindo classification and risk prediction model of complications after robot-assisted radical hysterectomy for cervical cancer.

Journal of robotic surgery
Although significant progress has been made with surgical methods, the incidence of complications after minimally invasive surgery in patients with cervical cancer remains high. Established as a standardized system, Clavien-Dindo classification (CDC)...

Feature extraction from MRI ADC images for brain tumor classification using machine learning techniques.

Biomedical engineering online
BACKGROUND: Diffusion-weighted (DW) imaging is a well-recognized magnetic resonance imaging (MRI) technique that is being routinely used in brain examinations in modern clinical radiology practices. This study focuses on extracting demographic and te...

Computed Tomography-Based Deep Learning Nomogram Can Accurately Predict Lymph Node Metastasis in Gastric Cancer.

Digestive diseases and sciences
BACKGROUND: Computed tomography is the most commonly used imaging modality for preoperative assessment of lymph node status, but the reported accuracy is unsatisfactory.

Robot-Assisted Resection of Intestinal Duplication in Children.

Journal of laparoendoscopic & advanced surgical techniques. Part A
Intestinal duplication is the most common type of alimentary tract duplications in childhood. Laparoscopic-assisted surgery has become the main surgical procedure, but robot-assisted resection has rarely been reported; the aim of this study was to r...

A multitask deep learning approach for pulmonary embolism detection and identification.

Scientific reports
Pulmonary embolism (PE) is a blood clot traveling to the lungs and is associated with substantial morbidity and mortality. Therefore, rapid diagnoses and treatments are essential. Chest computed tomographic pulmonary angiogram (CTPA) is the gold stan...

Surgical and functional outcomes of robot-assisted versus laparoscopic partial nephrectomy with cortical renorrhaphy omission.

Scientific reports
To evaluate the surgical and functional outcomes between robot-assisted (CRO-RAPN) vs. laparoscopic (CRO-LPN) methods of cortical-renorrhaphy-omitting partial nephrectomy. Between July 2012 and June 2020, patients with localized clinical T1-2 renal m...

A Novel Deep Learning Model to Distinguish Malignant Versus Benign Solid Lung Nodules.

Medical science monitor : international medical journal of experimental and clinical research
BACKGROUND In this study we aimed to establish a new transfer learning model based on noncontrast and thin-layer computed tomography (CT) scans to distinguish between malignant and benign solid lung nodules. MATERIAL AND METHODS CT images from 202 pa...

Laparoscopic versus robotic inguinal hernia repair: a single-center case-matched study.

Surgical endoscopy
INTRODUCTION: Robotic inguinal hernia repair (RIHR) is becoming increasingly common and is the minimally invasive alternative to laparoscopic inguinal hernia repair (LIHR). Thus far, there is little data directly comparing LIHR and RIHR. The purpose ...