AIMC Topic: Retrospective Studies

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Artificial intelligence assistance improves the accuracy and efficiency of intracranial aneurysm detection with CT angiography.

European journal of radiology
PURPOSE: The aim of this study was to evaluate whether a novel head and neck artificial intelligence (AI)-assisted diagnostic system based on a three-dimensional convolutional neural network (3D-CNN) could improve the accuracy, efficiency and working...

Independent External Validation of Artificial Intelligence Algorithms for Automated Interpretation of Screening Mammography: A Systematic Review.

Journal of the American College of Radiology : JACR
PURPOSE: The aim of this study was to describe the current state of science regarding independent external validation of artificial intelligence (AI) technologies for screening mammography.

Robotic surgery in emergency setting: 2021 WSES position paper.

World journal of emergency surgery : WJES
BACKGROUND: Robotics represents the most technologically advanced approach in minimally invasive surgery (MIS). Its application in general surgery has increased progressively, with some early experience reported in emergency settings. The present pos...

Robot-assisted versus video-assisted thoraco-laparoscopic McKeown's esophagectomy for esophageal cancer: a propensity score-matched analysis of minimally invasive approaches.

Journal of robotic surgery
Minimally invasive esophagectomy for esophageal cancer decreases overall complication rate and leads to faster postoperative recovery. Robot-assisted minimally invasive esophagectomy is becoming more common. Its three-dimensional view and wristed ins...

Machine learning for prediction of euploidy in human embryos: in search of the best-performing model and predictive features.

Fertility and sterility
OBJECTIVE: To assess the best-performing machine learning (ML) model and features to predict euploidy in human embryos.

Deep learning classification of inverted papilloma malignant transformation using 3D convolutional neural networks and magnetic resonance imaging.

International forum of allergy & rhinology
BACKGROUND: Distinguishing benign inverted papilloma (IP) tumors from those that have undergone malignant transformation to squamous cell carcinoma (IP-SCC) is important but challenging to do preoperatively. Magnetic resonance imaging (MRI) can help ...

Forensic bone age estimation of adolescent pelvis X-rays based on two-stage convolutional neural network.

International journal of legal medicine
In the forensic estimation of bone age, the pelvis is important for identifying the bone age of teenagers. However, studies on this topic remain insufficient as a result of lower accuracy due to the overlapping of pelvic organs in X-ray images. Segme...

Semisupervised Training of a Brain MRI Tumor Detection Model Using Mined Annotations.

Radiology
Background Artificial intelligence (AI) applications for cancer imaging conceptually begin with automated tumor detection, which can provide the foundation for downstream AI tasks. However, supervised training requires many image annotations, and per...