AIMC Topic: Retrospective Studies

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Fully automatic volume measurement of the adrenal gland on CT using deep learning to classify adrenal hyperplasia.

European radiology
OBJECTIVES: To develop a fully automated deep learning model for adrenal segmentation and to evaluate its performance in classifying adrenal hyperplasia.

Artificial intelligence-based diagnosis of asbestosis: analysis of a database with applicants for asbestosis state aid.

European radiology
OBJECTIVES: In many countries, workers who developed asbestosis due to their occupation are eligible for government support. Based on the results of clinical examination, a team of pulmonologists determine the eligibility of patients to these program...

Artificial Intelligence in Breast X-Ray Imaging.

Seminars in ultrasound, CT, and MR
This topical review is focused on the clinical breast x-ray imaging applications of the rapidly evolving field of artificial intelligence (AI). The range of AI applications is broad. AI can be used for breast cancer risk estimation that could allow f...

Current Trends in the Utilization of a Robotic Approach in the Field of Bariatric Surgery.

Obesity surgery
PURPOSE: The utilization rate of robotic surgery for bariatric procedures is not well-described. Our study identified the proportion of metabolic and bariatric surgery (MBS) procedures in the United States between 2015 and 2020 performed using a robo...

Accuracy of computer-assisted pedicle screw placement for adolescent idiopathic scoliosis: a comparison between robotics and navigation.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
PURPOSE: To compare the accuracy of pedicle screw placement in adolescent idiopathic scoliosis (AIS) between robotics and navigation and clarify the factors that cause screw deviation when robotics is used.

Automated quantitative assessment of pediatric blunt hepatic trauma by deep learning-based CT volumetry.

European journal of medical research
BACKGROUND: To develop an end-to-end deep learning method for automated quantitative assessment of pediatric blunt hepatic trauma based on contrast-enhanced computed tomography (CT).

Safe implementation of robotic right colectomy with intracorporeal anastomosis.

Journal of robotic surgery
The robotic platform can overcome technical difficulties associated with laparoscopic colon surgery. Transitioning from laparoscopic right colectomy with extracorporeal anastomosis (ECA) to robotic right colectomy with intracorporeal anastomosis (ICA...

Contrast-Enhanced Ultrasound with Deep Learning with Attention Mechanisms for Predicting Microvascular Invasion in Single Hepatocellular Carcinoma.

Academic radiology
RATIONALE AND OBJECTIVES: Prediction of microvascular invasion (MVI) status of hepatocellular carcinoma (HCC) holds clinical significance for decision-making regarding the treatment strategy and evaluation of patient prognosis. We developed a deep le...

Development and validation of a machine learning algorithm for predicting diffuse midline glioma, H3 K27-altered, H3 K27 wild-type high-grade glioma, and primary CNS lymphoma of the brain midline in adults.

Journal of neurosurgery
OBJECTIVE: Preoperative diagnosis of diffuse midline glioma, H3 K27-altered (DMG-A) and midline high-grade glioma without H3 K27 alteration (DMG-W), as well as midline primary CNS lymphoma (PCNSL) in adults, is challenging but crucial. The aim of thi...