AIMC Topic: Retrospective Studies

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Deep learning based on preoperative magnetic resonance (MR) images improves the predictive power of survival models in primary spinal cord astrocytomas.

Neuro-oncology
BACKGROUND: Prognostic models for spinal cord astrocytoma patients are lacking due to the low incidence of the disease. Here, we aim to develop a fully automated deep learning (DL) pipeline for stratified overall survival (OS) prediction based on pre...

[Stage at diagnosis of prostate cancer in an institutional hospital. Review and comparison of national and international data].

Revista medica de Chile
INTRODUCTION: Prostate cancer (PCa) is a disease with a high prevalence and incidence worldwide. Screening has pursued the early diagnosis of this disease to provide early treatment. We sought to characterize patients from a local hospital with respe...

Using artificial intelligence on dermatology conditions in Uganda: a case for diversity in training data sets for machine learning.

African health sciences
BACKGROUND: In pursuit of applying universal non-biased Artificial Intelligence (AI) in healthcare, it is essential that data from different geographies are represented.

[The Effect of Naldemedine Tosylate on the Postoperative Course of Robot-Assisted Radical Cystectomy].

Hinyokika kiyo. Acta urologica Japonica
Radical cystectomy is an invasive procedure frequently followed by postoperative complications. Although the protocol of enhanced recovery after surgery (ERAS) is used in the postoperative course, several components of the ERAS protocol may increase ...

Combining Deep Learning and Handcrafted Radiomics for Classification of Suspicious Lesions on Contrast-enhanced Mammograms.

Radiology
Background Handcrafted radiomics and deep learning (DL) models individually achieve good performance in lesion classification (benign vs malignant) on contrast-enhanced mammography (CEM) images. Purpose To develop a comprehensive machine learning too...

An MRI Deep Learning Model Predicts Outcome in Rectal Cancer.

Radiology
Background Deep learning (DL) models can potentially improve prognostication of rectal cancer but have not been systematically assessed. Purpose To develop and validate an MRI DL model for predicting survival in patients with rectal cancer based on s...

Deep Learning-Enabled Detection of Pneumoperitoneum in Supine and Erect Abdominal Radiography: Modeling Using Transfer Learning and Semi-Supervised Learning.

Korean journal of radiology
OBJECTIVE: Detection of pneumoperitoneum using abdominal radiography, particularly in the supine position, is often challenging. This study aimed to develop and externally validate a deep learning model for the detection of pneumoperitoneum using sup...

[Clinical effects of robot-assisted esophageal hiatal hernia repair and laparoscopic esophageal hiatal hernia repair: a retrospective comparative study].

Zhonghua wai ke za zhi [Chinese journal of surgery]
To analyze the short-term clinical effects of robot-assisted and laparoscopic repair of the hiatal hernia. The clinical data of 56 patients underwent minimally invasive hiatal hernia repair from January 2021 to January 2022 in the Department of Min...

Single-Port Multiple-Port Robot-Assisted Laparoscopic Pyeloplasty for the Treatment of Ureteropelvic Junction Obstruction: A Systematic Review and Meta-Analysis.

Journal of endourology
Single-port robot-assisted pyeloplasty (SP-RP) has been performed in recent years. However, the advantages and disadvantages of SP-RP compared with multiple-port robot-assisted pyeloplasty (MP-RP) remain unclear. The purpose of this meta-analysis wa...