AIMC Topic: Retrospective Studies

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Deep Learning Imaging Reconstruction Algorithm for Carotid Dual Energy CT Angiography: Opportunistic Evaluation of Cervical Intervertebral Discs-A Preliminary Study.

Journal of imaging informatics in medicine Mar 1, 2024
Thus, the aim of this study is to evaluate the performance of deep learning imaging reconstruction (DLIR) algorithm in different image sets derived from carotid dual-energy computed tomography angiography (DECTA) for evaluating cervical intervertebra...
Algorithms Retrospective Studies Female Aged Humans Deep Learning Image Processing, Computer-Assisted Cervical Vertebrae Carotid Arteries Adult Male Middle Aged Computed Tomography Angiography Intervertebral Disc
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Telemedicine-Enhanced Lung Cancer Screening Using Mobile Computed Tomography Unit with Remote Artificial Intelligence Assistance in Underserved Communities: Initial Results of a Population Cohort Study in Western China.

Telemedicine journal and e-health : the official journal of the American Telemedicine Association Mar 1, 2024
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Female Aged Aged, 80 and over Middle Aged Humans Telemedicine Vulnerable Populations Artificial Intelligence Adult Medically Underserved Area Retrospective Studies China Male Mobile Health Units Tomography, X-Ray Computed Lung Neoplasms Early Detection of Cancer
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Use of a machine learning algorithm with a focus on spinopelvic parameters to predict development of symptomatic tethered cord after initial untethering surgery.

Journal of neurosurgery. Pediatrics Mar 1, 2024
OBJECTIVE: Among patients with a history of prior lipomyelomeningocele repair, an association between increased lumbosacral angle (LSA) and cord retethering has been described. The authors sought to build a predictive algorithm to determine which com...
Magnetic Resonance Imaging Predictive Value of Tests Neurosurgical Procedures Neural Tube Defects Female Male Infant Meningomyelocele Algorithms Humans Retrospective Studies Machine Learning
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Deep learning-based metastasis detection in patients with lung cancer to enhance reproducibility and reduce workload in brain metastasis screening with MRI: a multi-center study.

Cancer imaging : the official publication of the International Cancer Imaging Society Mar 1, 2024
OBJECTIVES: To assess whether a deep learning-based system (DLS) with black-blood imaging for brain metastasis (BM) improves the diagnostic workflow in a multi-center setting.
Early Detection of Cancer Workload Humans Retrospective Studies Reproducibility of Results Lung Neoplasms Magnetic Resonance Imaging Brain Neoplasms Deep Learning
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Development of a deep learning model to distinguish the cause of optic disc atrophy using retinal fundus photography.

Scientific reports Mar 1, 2024
The differential diagnosis for optic atrophy can be challenging and requires expensive, time-consuming ancillary testing to determine the cause. While Leber's hereditary optic neuropathy (LHON) and optic neuritis (ON) are both clinically significant ...
Atrophy Optic Neuritis Optic Atrophy, Hereditary, Leber Retrospective Studies Deep Learning Optic Disk Photography Humans
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Artificial intelligence-based diagnosis of standard endoscopic ultrasonography scanning sites in the biliopancreatic system: a multicenter retrospective study.

International journal of surgery (London, England) Mar 1, 2024
BACKGROUND: There are challenges for beginners to identify standard biliopancreatic system anatomical sites on endoscopic ultrasonography (EUS) images. Therefore, the authors aimed to develop a convolutional neural network (CNN)-based model to identi...
Artificial Intelligence Retrospective Studies Sensitivity and Specificity Endosonography Humans Neural Networks, Computer
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Experience of Implementing Deep Learning-Based Automatic Contouring in Breast Radiation Therapy Planning: Insights From Over 2000 Cases.

International journal of radiation oncology, biology, physics Feb 29, 2024
PURPOSE: This study evaluated the impact and clinical utility of an auto-contouring system for radiation therapy treatments.
Breast Breast Neoplasms Organs at Risk Automation Deep Learning Radiotherapy Planning, Computer-Assisted Humans Radiotherapy, Adjuvant Heart Retrospective Studies Female
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Deep Learning Radiomics Analysis of CT Imaging for Differentiating Between Crohn's Disease and Intestinal Tuberculosis.

Journal of imaging informatics in medicine Feb 29, 2024
This study aimed to develop and evaluate a CT-based deep learning radiomics model for differentiating between Crohn's disease (CD) and intestinal tuberculosis (ITB). A total of 330 patients with pathologically confirmed as CD or ITB from the First Af...
Female Young Adult Adult Middle Aged Humans Retrospective Studies Deep Learning Radiomics Tomography, X-Ray Computed Diagnosis, Differential Male Crohn Disease Tuberculosis, Gastrointestinal
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Interpretable and Intuitive Machine Learning Approaches for Predicting Disability Progression in Relapsing-Remitting Multiple Sclerosis Based on Clinical and Gray Matter Atrophy Indicators.

Academic radiology Feb 29, 2024
RATIONALE AND OBJECTIVES: To investigate whether clinical and gray matter (GM) atrophy indicators can predict disability in relapsing-remitting multiple sclerosis (RRMS) and to enhance the interpretability and intuitiveness of a predictive machine le...
Multiple Sclerosis, Relapsing-Remitting Disability Evaluation Male Gray Matter Middle Aged Retrospective Studies Humans Disease Progression Atrophy Machine Learning Magnetic Resonance Imaging Female Adult
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Combining artificial intelligence and human expertise for more accurate dermoscopic melanoma diagnosis: A 2-session retrospective reader study.

Journal of the American Academy of Dermatology Feb 29, 2024
Humans Dermoscopy Artificial Intelligence Clinical Competence Retrospective Studies Melanoma Skin Neoplasms
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