AIMC Topic: Retrospective Studies

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A deep learning algorithm to detect cutaneous squamous cell carcinoma on frozen sections in Mohs micrographic surgery: A retrospective assessment.

Experimental dermatology Oct 21, 2023
Intraoperative margin analysis is crucial for the successful removal of cutaneous squamous cell carcinomas (cSCC). Artificial intelligence technologies (AI) have previously demonstrated potential for facilitating rapid and complete tumour removal usi...
Frozen Sections Mohs Surgery Carcinoma, Basal Cell Carcinoma, Squamous Cell Deep Learning Humans Artificial Intelligence Retrospective Studies Skin Neoplasms
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Prognostication of lung adenocarcinomas using CT-based deep learning of morphological and histopathological features: a retrospective dual-institutional study.

European radiology Oct 20, 2023
OBJECTIVES: To develop and validate CT-based deep learning (DL) models that learn morphological and histopathological features for lung adenocarcinoma prognostication, and to compare them with a previously developed DL discrete-time survival model.
Deep Learning Lung Neoplasms Adenocarcinoma of Lung Humans Prognosis Retrospective Studies Tomography, X-Ray Computed Female Aged Male Middle Aged
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Development of a novel combined nomogram model integrating deep learning radiomics to diagnose IgA nephropathy clinically.

Renal failure Oct 20, 2023
This study aimed to develop and validate a combined nomogram model based on superb microvascular imaging (SMI)-based deep learning (DL), radiomics characteristics, and clinical factors for noninvasive differentiation between immunoglobulin A nephropa...
Glomerulonephritis, IGA Nomograms Humans Renal Insufficiency, Chronic Retrospective Studies Hematuria Biopsy Deep Learning Microvessels Kidney Glomerulus
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Accelerated Cine Cardiac MRI Using Deep Learning-Based Reconstruction: A Systematic Evaluation.

Journal of magnetic resonance imaging : JMRI Oct 19, 2023
BACKGROUND: Breath-holding (BH) for cine balanced steady state free precession (bSSFP) imaging is challenging for patients with impaired BH capacity. Deep learning-based reconstruction (DLR) of undersampled k-space promises to shorten BHs while prese...
Deep Learning Adolescent Child Image Processing, Computer-Assisted Heart Image Interpretation, Computer-Assisted Breath Holding Magnetic Resonance Imaging, Cine Reproducibility of Results Young Adult Adult Male Humans Retrospective Studies Female
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Assessment of Lymphovascular Invasion in Breast Cancer Using a Combined MRI Morphological Features, Radiomics, and Deep Learning Approach Based on Dynamic Contrast-Enhanced MRI.

Journal of magnetic resonance imaging : JMRI Oct 19, 2023
BACKGROUND: Assessment of lymphovascular invasion (LVI) in breast cancer (BC) primarily relies on preoperative needle biopsy. There is an urgent need to develop a non-invasive assessment method.
Cohort Studies ROC Curve Lymphatic Metastasis Contrast Media Magnetic Resonance Imaging Neoplasm Invasiveness Breast Radiomics Cross-Sectional Studies Middle Aged Humans Deep Learning Aged Retrospective Studies Adult Female Breast Neoplasms
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Predicting meningioma grades and pathologic marker expression via deep learning.

European radiology Oct 19, 2023
OBJECTIVES: To establish a deep learning (DL) model for predicting tumor grades and expression of pathologic markers of meningioma.
Aged Adult Biomarkers, Tumor Male Humans Retrospective Studies Female Neoplasm Grading Ki-67 Antigen Middle Aged Meningioma Deep Learning Meningeal Neoplasms Magnetic Resonance Imaging Predictive Value of Tests
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Safety and short-term outcomes of robotic-assisted transabdominal preperitoneal repair for inguinal hernia in pioneering hospitals in Japan: A nationwide retrospective cohort study.

Asian journal of endoscopic surgery Oct 19, 2023
INTRODUCTION: We aimed to evaluate the safety and short-term outcomes of robotic-assisted transabdominal preperitoneal repair for inguinal hernia in 12 pioneering hospitals in Japan.
Humans Retrospective Studies Male Treatment Outcome Japan Surgical Mesh Herniorrhaphy Hernia, Inguinal Robotics Laparoscopy Pain, Postoperative Robotic Surgical Procedures
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Using an adaptive network-based fuzzy inference system for prediction of successful aging: a comparison with common machine learning algorithms.

BMC medical informatics and decision making Oct 19, 2023
INTRODUCTION: The global society is currently facing a rise in the elderly population. The concept of successful aging (SA) appeared in the gerontological literature to overcome the challenges and problems of population aging. SA is a subjective and ...
Humans Machine Learning Fuzzy Logic Algorithms Retrospective Studies Aged Aging
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Multiparametric MRI-based radiomics model for predicting human papillomavirus status in oropharyngeal squamous cell carcinoma: optimization using oversampling and machine learning techniques.

European radiology Oct 18, 2023
OBJECTIVES: To develop and validate a multiparametric MRI-based radiomics model with optimal oversampling and machine learning techniques for predicting human papillomavirus (HPV) status in oropharyngeal squamous cell carcinoma (OPSCC).
Papillomaviridae Oropharyngeal Neoplasms Multiparametric Magnetic Resonance Imaging Human Papillomavirus Viruses Middle Aged Papillomavirus Infections Squamous Cell Carcinoma of Head and Neck Humans Machine Learning Retrospective Studies Female Aged Radiomics Male
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Deep Learning Model Based on Multisequence MRI Images for Assessing Adverse Pregnancy Outcome in Placenta Accreta.

Journal of magnetic resonance imaging : JMRI Oct 18, 2023
BACKGROUND: Preoperative assessment of adverse outcomes risk in placenta accreta spectrum (PAS) disorders is of high clinical relevance for perioperative management and prognosis.
Humans Placenta Accreta Deep Learning Pregnancy Outcome Retrospective Studies Magnetic Resonance Imaging Pregnancy Placenta Female
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