AI Medical Compendium Topic:
Magnetic Resonance Imaging

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Fully and Weakly Supervised Deep Learning for Meniscal Injury Classification, and Location Based on MRI.

Journal of imaging informatics in medicine Jul 17, 2024
Meniscal injury is a common cause of knee joint pain and a precursor to knee osteoarthritis (KOA). The purpose of this study is to develop an automatic pipeline for meniscal injury classification and localization using fully and weakly supervised net...
Deep Learning Humans Tibial Meniscus Injuries Aged Magnetic Resonance Imaging Retrospective Studies Adult Image Interpretation, Computer-Assisted Female Osteoarthritis, Knee Male Middle Aged
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Multi-parameter MRI-Based Machine Learning Model to Evaluate the Efficacy of STA-MCA Bypass Surgery for Moyamoya Disease: A Pilot Study.

Journal of imaging informatics in medicine Jul 17, 2024
Superficial temporal artery-middle cerebral artery (STA-MCA) bypass surgery represents the primary treatment for Moyamoya disease (MMD), with its efficacy contingent upon collateral vessel development. This study aimed to develop and validate a machi...
Magnetic Resonance Imaging Middle Cerebral Artery Moyamoya Disease Temporal Arteries Middle Aged Humans Pilot Projects Cerebral Revascularization Machine Learning Adolescent Female Treatment Outcome Young Adult Adult Male
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Achieving high accuracy in meniscus tear detection using advanced deep learning models with a relatively small data set.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA Jul 17, 2024
PURPOSE: This study aims to evaluate the effectiveness of advanced deep learning models, specifically YOLOv8 and EfficientNetV2, in detecting meniscal tears on magnetic resonance imaging (MRI) using a relatively small data set.
Humans Female Adult Male Deep Learning Magnetic Resonance Imaging Tibial Meniscus Injuries
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Deep learning reconstruction for zero echo time lung magnetic resonance imaging: impact on image quality and lesion detection.

Clinical radiology Jul 17, 2024
AIMS: This study aimed to examine the impact of deep-learning reconstruction (DLR) on zero echo time (ZTE) lung MRI.
Deep Learning Humans Tomography, X-Ray Computed Lung Neoplasms Male Female Phantoms, Imaging Retrospective Studies Magnetic Resonance Imaging Aged Image Interpretation, Computer-Assisted Middle Aged Adult Lung
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Prospective and multi-reader evaluation of deep learning reconstruction-based accelerated rectal MRI: image quality, diagnostic performance, and reading time.

European radiology Jul 17, 2024
OBJECTIVES: To evaluate deep learning reconstruction (DLR)-based accelerated rectal magnetic resonance imaging (MRI) compared with standard MRI.
Middle Aged Deep Learning Adenocarcinoma Magnetic Resonance Imaging Aged Aged, 80 and over Adult Male Neoplasm Staging Rectum Rectal Neoplasms Image Interpretation, Computer-Assisted Humans Prospective Studies Female
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Enhancing Prostate Cancer Diagnosis: Artificial Intelligence-Driven Virtual Biopsy for Optimal Magnetic Resonance Imaging-Targeted Biopsy Approach and Gleason Grading Strategy.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Jul 17, 2024
An optimal approach to magnetic resonance imaging fusion targeted prostate biopsy (PBx) remains unclear (number of cores, intercore distance, Gleason grading [GG] principle). The aim of this study was to develop a precise pixel-wise segmentation diag...
Artificial Intelligence Algorithms Aged Male Middle Aged Magnetic Resonance Imaging Prostatic Neoplasms Neoplasm Grading Humans Image-Guided Biopsy
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Fully automated segmentation and volumetric measurement of ocular adnexal lymphoma by deep learning-based self-configuring nnU-net on multi-sequence MRI: a multi-center study.

Neuroradiology Jul 17, 2024
PURPOSE: To evaluate nnU-net's performance in automatically segmenting and volumetrically measuring ocular adnexal lymphoma (OAL) on multi-sequence MRI.
Contrast Media Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Aged Humans Male Aged, 80 and over Eye Neoplasms Middle Aged Adult Retrospective Studies Deep Learning Sensitivity and Specificity Female Lymphoma
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Automatically Detecting Pancreatic Cysts in Autosomal Dominant Polycystic Kidney Disease on MRI Using Deep Learning.

Tomography (Ann Arbor, Mich.) Jul 16, 2024
BACKGROUND: Pancreatic cysts in autosomal dominant polycystic kidney disease (ADPKD) correlate with PKD2 mutations, which have a different phenotype than PKD1 mutations. However, pancreatic cysts are commonly overlooked by radiologists. Here, we auto...
Pancreas Aged Deep Learning Polycystic Kidney, Autosomal Dominant Magnetic Resonance Imaging Pancreatic Cyst Humans Adult Image Interpretation, Computer-Assisted Male Female Middle Aged Reproducibility of Results
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Deep learning approach to femoral AVN detection in digital radiography: differentiating patients and pre-collapse stages.

BMC musculoskeletal disorders Jul 16, 2024
OBJECTIVE: This study aimed to evaluate a new deep-learning model for diagnosing avascular necrosis of the femoral head (AVNFH) by analyzing pelvic anteroposterior digital radiography.
Female Magnetic Resonance Imaging Humans Diagnosis, Differential Aged Radiographic Image Interpretation, Computer-Assisted Male Femur Head Necrosis Young Adult Middle Aged Deep Learning Adult Adolescent
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Explainable machine learning on baseline MRI predicts multiple sclerosis trajectory descriptors.

PloS one Jul 16, 2024
Multiple sclerosis (MS) is a multifaceted neurological condition characterized by challenges in timely diagnosis and personalized patient management. The application of Artificial Intelligence (AI) to MS holds promises for early detection, accurate d...
Magnetic Resonance Imaging Multiple Sclerosis Adult Humans Male Machine Learning Middle Aged Female Disease Progression
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