Current Applications of Artificial Intelligence in Sarcoidosis

Trends and opportunities in computable clinical phenotyping: A scoping review

(2023) Ting He et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Conventional and artificial intelligence-based imaging for biomarker discovery in chronic liver disease

(2022) Jérémy Dana et al.   Hepatology International

Predicting adverse cardiac events in sarcoidosis: deep learning from automated characterization of regional myocardial remodeling

(2022) Chenying Lu et al.   INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING

Distinction of lymphoma from sarcoidosis at FDG PET/CT - evaluation of radiomic-feature guided machine learning versus human reader performance

(2022) Pierre Lovinfosse et al.   JOURNAL OF NUCLEAR MEDICINE

Reliable Sarcoidosis Detection Using Chest X-rays with EfficientNets and Stain-Normalization Techniques

(2022) Nadiah Baghdadi et al.   SENSORS

Explainable machine learning methods and respiratory oscillometry for the diagnosis of respiratory abnormalities in sarcoidosis

(2022) Allan Danilo de Lima et al.   BMC Medical Informatics and Decision Making

Unsupervised machine-learning algorithms for the identification of clinical phenotypes in the osteoarthritis initiative database

(2022) David Demanse et al.   SEMINARS IN ARTHRITIS AND RHEUMATISM

Radiomics signature of brain metastasis: prediction of EGFR mutation status

(2021) Guangyu Wang et al.   EUROPEAN RADIOLOGY

Unsupervised Clustering Reveals Sarcoidosis Phenotypes Marked by a Reduction in Lymphocytes Relate to Increased Inflammatory Activity on 18FDG-PET/CT

(2021) Christen Vagts et al.   Frontiers in Medicine

Sarcoidosis: A Clinical Overview from Symptoms to Diagnosis

(2021) Pascal Sève et al.   Cells

Deep Learning Algorithm to Detect Cardiac Sarcoidosis From Echocardiographic Movies

(2021) Susumu Katsushika et al.   CIRCULATION JOURNAL

Predicting risk of sudden cardiac death in patients with cardiac sarcoidosis using multimodality imaging and personalized heart modeling in a multivariable classifier

(2021) Julie K. Shade et al.   Science Advances

Using Machine Learning to Predict Early Onset Acute Organ Failure in Critically Ill Intensive Care Unit Patients With Sickle Cell Disease: Retrospective Study

(2020) Akram Mohammed et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Refractory Sarcoidosis: A Review

(2020) Thomas El Jammal et al.   Therapeutics and Clinical Risk Management

Biomarkers in the Diagnosis and Prognosis of Sarcoidosis: Current Use and Future Prospects

(2020) Raisa Kraaijvanger et al.   Frontiers in Immunology

Understanding artificial intelligence based radiology studies: What is overfitting?

(2020) Simukayi Mutasa et al.   CLINICAL IMAGING

Artificial intelligence identifies inflammation and confirms fibroblast foci as prognostic tissue biomarkers in idiopathic pulmonary fibrosis

(2020) Kati Mäkelä et al.   HUMAN PATHOLOGY

Treatment of Sarcoidosis: A Multidisciplinary Approach

(2020) Alicia K. Gerke   Frontiers in Immunology

Development and Validation of a Preoperative Magnetic Resonance Imaging Radiomics–Based Signature to Predict Axillary Lymph Node Metastasis and Disease-Free Survival in Patients With Early-Stage Breast Cancer

(2020) Yunfang Yu et al.   JAMA Network Open

Sudden death in cardiac sarcoidosis: an analysis of nationwide clinical and cause-of-death registries

(2019) Kaj Ekström et al.   EUROPEAN HEART JOURNAL

Radiomic Measures from Chest HRCT Associated with Lung Function in Sarcoidosis

(2019) Sarah M. Ryan et al.   EUROPEAN RESPIRATORY JOURNAL

Are estimations of radiomic image markers dispensable due to recent deep learning findings?

(2019) Martin Obert   EUROPEAN RESPIRATORY JOURNAL

Regional abnormalities on cardiac magnetic resonance imaging and arrhythmic events in patients with cardiac sarcoidosis

(2019) David R. Okada et al.   JOURNAL OF CARDIOVASCULAR ELECTROPHYSIOLOGY

Artificial Intelligence for Clinical Trial Design

(2019) Stefan Harrer et al.   TRENDS IN PHARMACOLOGICAL SCIENCES

Predictors of Primary Response to Biologic Treatment [Anti-TNF, Vedolizumab, and Ustekinumab] in Patients With Inflammatory Bowel Disease: From Basic Science to Clinical Practice

(2019) Javier P Gisbert et al.   Journal of Crohns & Colitis

Quantitative CT Analysis of Diffuse Lung Disease

(2019) Alicia Chen et al.   RADIOGRAPHICS

It's time to evolve from Scadding: phenotyping sarcoidosis

(2018) Daniel A. Culver et al.   EUROPEAN RESPIRATORY JOURNAL

Phenotypes of organ involvement in sarcoidosis

(2018) Jonas Christian Schupp et al.   EUROPEAN RESPIRATORY JOURNAL

The Utility of 18F-FDG PET/CT for Monitoring Response and Predicting Prognosis after Glucocorticoids Therapy for Sarcoidosis

(2018) Hengyi Chen et al.   Biomed Research International

Pulmonary sarcoidosis

(2018) Paolo Spagnolo et al.   Lancet Respiratory Medicine

Cardiac sarcoidosis classification with deep convolutional neural network-based features using polar maps

(2018) Ren Togo et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Development and Validation of a Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer

(2016) Yan-qi Huang et al.   JOURNAL OF CLINICAL ONCOLOGY

Imaging of sarcoidosis of the airways and lung parenchyma and correlation with lung function

(2012) Hilario Nunes et al.   EUROPEAN RESPIRATORY JOURNAL

Stage IV sarcoidosis: comparison of survival with the general population and causes of death

(2011) A. Nardi et al.   EUROPEAN RESPIRATORY JOURNAL

SU-FF-I-01: Automated Differential Diagnoses of CT Images From Healthy Lung and Three Pulmonary Diseases Using a Simple Statistical Transform and a Probabilistic Neural Network

(2010) F Newman et al.   MEDICAL PHYSICS

Phenotyping Sarcoidosis from a Pulmonary Perspective

(2007) Antje Prasse et al.   AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE