AIMC Topic: Retrospective Studies

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Validation and algorithmic audit of a deep learning system for the detection of proximal femoral fractures in patients in the emergency department: a diagnostic accuracy study.

The Lancet. Digital health Apr 5, 2022
BACKGROUND: Proximal femoral fractures are an important clinical and public health issue associated with substantial morbidity and early mortality. Artificial intelligence might offer improved diagnostic accuracy for these fractures, but typical appr...
Emergency Service, Hospital Femoral Fractures Retrospective Studies Deep Learning Humans Artificial Intelligence
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CardiSort: a convolutional neural network for cross vendor automated sorting of cardiac MR images.

European radiology Apr 4, 2022
OBJECTIVES: To develop an image-based automatic deep learning method to classify cardiac MR images by sequence type and imaging plane for improved clinical post-processing efficiency.
Retrospective Studies Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Neural Networks, Computer Heart
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An Interpretable Chest CT Deep Learning Algorithm for Quantification of COVID-19 Lung Disease and Prediction of Inpatient Morbidity and Mortality.

Academic radiology Apr 4, 2022
RATIONALE AND OBJECTIVES: The burden of coronavirus disease 2019 (COVID-19) airspace opacities is time consuming and challenging to quantify on computed tomography. The purpose of this study was to evaluate the ability of a deep convolutional neural ...
COVID-19 Testing Deep Learning Inpatients Humans Retrospective Studies Morbidity SARS-CoV-2 COVID-19 Tomography, X-Ray Computed Lung Algorithms
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Deep Learning-Based Assessment of Functional Liver Capacity Using Gadoxetic Acid-Enhanced Hepatobiliary Phase MRI.

Korean journal of radiology Apr 4, 2022
OBJECTIVE: We aimed to develop and test a deep learning algorithm (DLA) for fully automated measurement of the volume and signal intensity (SI) of the liver and spleen using gadoxetic acid-enhanced hepatobiliary phase (HBP)-magnetic resonance imaging...
Gadolinium DTPA Retrospective Studies Magnetic Resonance Imaging Female Liver Adult Deep Learning Humans Liver Neoplasms Male Contrast Media Middle Aged
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Improving the Performance of Radiologists Using Artificial Intelligence-Based Detection Support Software for Mammography: A Multi-Reader Study.

Korean journal of radiology Apr 4, 2022
OBJECTIVE: To evaluate whether artificial intelligence (AI) for detecting breast cancer on mammography can improve the performance and time efficiency of radiologists reading mammograms.
Software Retrospective Studies Sensitivity and Specificity Breast Neoplasms Female Humans Artificial Intelligence Mammography Radiologists
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Effect of Papaverine on Renal Artery Blood Flow during Robot-Assisted Partial Nephrectomy: A Randomized Controlled Study.

Annals of surgical oncology Apr 3, 2022
BACKGROUND: During robot-assisted partial nephrectomy (RAPN), renal artery clamping is necessary to optimize the surgical field. However, renal artery clamping can induce renal blood flow reduction and postoperative renal dysfunction. Papaverine is u...
Treatment Outcome Robotics Robotic Surgical Procedures Humans Retrospective Studies Renal Artery Renal Circulation Kidney Neoplasms Papaverine Nephrectomy
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High fidelity deep learning-based MRI reconstruction with instance-wise discriminative feature matching loss.

Magnetic resonance in medicine Apr 3, 2022
PURPOSE: To improve reconstruction fidelity of fine structures and textures in deep learning- (DL) based reconstructions.
Retrospective Studies Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Imaging, Three-Dimensional Humans
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Automated prediction of the neoadjuvant chemotherapy response in osteosarcoma with deep learning and an MRI-based radiomics nomogram.

European radiology Apr 2, 2022
OBJECTIVES: To implement a pipeline to automatically segment the ROI and to use a nomogram integrating the MRI-based radiomics score and clinical variables to predict responses to neoadjuvant chemotherapy (NAC) in osteosarcoma patients.
Bone Neoplasms Humans Retrospective Studies Magnetic Resonance Imaging Nomograms Osteosarcoma Neoadjuvant Therapy Deep Learning
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Deep Learning-Based Model for Identifying Tumors in Endoscopic Images From Patients With Locally Advanced Rectal Cancer Treated With Total Neoadjuvant Therapy.

Diseases of the colon and rectum Apr 1, 2022
BACKGROUND: A barrier to the widespread adoption of watch-and-wait management for locally advanced rectal cancer is the inaccuracy and variability of identifying tumor response endoscopically in patients who have completed total neoadjuvant therapy (...
Humans Prospective Studies Neoadjuvant Therapy Rectal Neoplasms Neoplasms, Second Primary Deep Learning Retrospective Studies Pilot Projects
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Proof-of-Concept Analysis of a Deep Learning Model to Conduct Automated Segmentation of OCT Images for Macular Hole Volume.

Ophthalmic surgery, lasers & imaging retina Apr 1, 2022
BACKGROUND AND OBJECTIVE: To determine whether an automated artificial intelligence (AI) model could assess macular hole (MH) volume on swept-source optical coherence tomography (OCT) images.
Humans Tomography, Optical Coherence Artificial Intelligence Retinal Perforations Vitrectomy Retrospective Studies Deep Learning
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