Cargando…

Artificial Intelligence and Interstitial Lung Disease: Diagnosis and Prognosis

Interstitial lung disease (ILD) is now diagnosed by an ILD-board consisting of radiologists, pulmonologists, and pathologists. They discuss the combination of computed tomography (CT) images, pulmonary function tests, demographic information, and histology and then agree on one of the 200 ILD diagno...

Descripción completa

Detalles Bibliográficos
Autores principales:	Dack, Ethan, Christe, Andreas, Fontanellaz, Matthias, Brigato, Lorenzo, Heverhagen, Johannes T., Peters, Alan A., Huber, Adrian T., Hoppe, Hanno, Mougiakakou, Stavroula, Ebner, Lukas
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Lippincott Williams & Wilkins 2023
Materias:	Review Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10332653/ https://www.ncbi.nlm.nih.gov/pubmed/37058321 http://dx.doi.org/10.1097/RLI.0000000000000974

Ejemplares similares

Meta-analysis of the radiological and clinical features of Usual Interstitial Pneumonia (UIP) and Nonspecific Interstitial Pneumonia (NSIP)
por: Ebner, Lukas, et al.
Publicado: (2020)

Influence of Lung Reconstruction Algorithms on Interstitial Lung Pattern Recognition on CT
por: Klaus, Jeremias B., et al.
Publicado: (2022)

State-of-the-art imaging of liver fibrosis and cirrhosis: A comprehensive review of current applications and future perspectives
por: Huber, Adrian, et al.
Publicado: (2015)

Computer-Aided Diagnosis of Pulmonary Fibrosis Using Deep Learning and CT Images
por: Christe, Andreas, et al.
Publicado: (2019)

Artificial intelligence for reducing the radiation burden of medical imaging for the diagnosis of coronavirus disease
por: Hu, Jiaxi, et al.
Publicado: (2023)

A comprehensive review of imaging findings in COVID-19 - status in early 2021
por: Afshar-Oromieh, Ali, et al.
Publicado: (2021)

Feasible Dose Reduction in Routine Chest Computed Tomography Maintaining Constant Image Quality Using the Last Three Scanner Generations: From Filtered Back Projection to Sinogram-affirmed Iterative Reconstruction and Impact of the Novel Fully Integrated Detector Design Minimizing Electronic Noise
por: Ebner, Lukas, et al.
Publicado: (2014)

Optimal Dose Levels in Screening Chest CT for Unimpaired Detection and Volumetry of Lung Nodules, with and without Computer Assisted Detection at Minimal Patient Radiation
por: Christe, Andreas, et al.
Publicado: (2013)

T1 mapping of the liver and the spleen in patients with liver fibrosis—does normalization to the blood pool increase the predictive value?
por: Obmann, Verena Carola, et al.
Publicado: (2020)

T1 reduction rate with Gd-EOB-DTPA determines liver function on both 1.5 T and 3 T MRI
por: Obmann, Verena Carola, et al.
Publicado: (2022)

CT predicts liver fibrosis: Prospective evaluation of morphology- and attenuation-based quantitative scores in routine portal venous abdominal scans
por: Obmann, Verena C., et al.
Publicado: (2018)

goFOOD(TM): An Artificial Intelligence System for Dietary Assessment
por: Lu, Ya, et al.
Publicado: (2020)

The Nutritional Content of Meal Images in Free-Living Conditions—Automatic Assessment with goFOOD(TM)
por: Papathanail, Ioannis, et al.
Publicado: (2023)

Pulmonary intimal sarcoma: a rare differential diagnosis for arterial filling defects on a chest CT
por: Ebner, Lukas, et al.
Publicado: (2014)

Liver MR relaxometry at 3T – segmental normal T(1) and T(2)* values in patients without focal or diffuse liver disease and in patients with increased liver fat and elevated liver stiffness
por: Obmann, V. C., et al.
Publicado: (2019)

Right aortic arch and Kommerell's diverticulum associated with acute aortic dissection and pericardial tamponade
por: Ebner, Lukas, et al.
Publicado: (2013)

Evaluation of a Novel Artificial Intelligence System to Monitor and Assess Energy and Macronutrient Intake in Hospitalised Older Patients
por: Papathanail, Ioannis, et al.
Publicado: (2021)

Performance of an AI based CAD system in solid lung nodule detection on chest phantom radiographs compared to radiology residents and fellow radiologists
por: Peters, Alan A., et al.
Publicado: (2021)

Diagnostic Performance and Additional Value of Elastosonography in Focal Breast Lesions: Statistical Correlation between Size-Dependant Strain Index Measurements, Multimodality-BI-RADS Score, and Histopathology in a Clinical Routine Setting
por: Ebner, Lukas, et al.
Publicado: (2014)

Liver segmental volume and attenuation ratio (LSVAR) on portal venous CT scans improves the detection of clinically significant liver fibrosis compared to liver segmental volume ratio (LSVR)
por: Obmann, V. C., et al.
Publicado: (2020)

Imaging findings in uncorrected tetralogy of Fallot and pulmonary atresia with major aortopulmonary collateral arteries and septic embolism
por: Dobrocky, Tomas, et al.
Publicado: (2014)

Clinical Course, Radiological Manifestations, and Outcome of Pneumocystis jirovecii Pneumonia in HIV Patients and Renal Transplant Recipients
por: Ebner, Lukas, et al.
Publicado: (2016)

Recent Advances of Artificial Intelligence Applications in Interstitial Lung Diseases
por: Exarchos, Konstantinos P., et al.
Publicado: (2023)

Convolutional neural network for automated segmentation of the liver and its vessels on non-contrast T1 vibe Dixon acquisitions
por: Zbinden, Lukas, et al.
Publicado: (2022)

Correlation between fat signal ratio on T1-weighted MRI in the lower vertebral bodies and age, comparing 1.5-T and 3-T scanners
por: Sieron, Dominik, et al.
Publicado: (2020)

Model-Free Machine Learning in Biomedicine: Feasibility Study in Type 1 Diabetes
por: Daskalaki, Elena, et al.
Publicado: (2016)

Diagnosis of Tooth Prognosis Using Artificial Intelligence
por: Lee, Sang J., et al.
Publicado: (2022)

Diagnostic Value and Interreader Agreement of the Pancreaticolienal Gap in Pancreatic Cancer on MDCT
por: Schawkat, Khoschy, et al.
Publicado: (2016)

Knee Diameter and Cross-Sectional Area as Biomarkers for Cartilage Knee Degeneration on Magnetic Resonance Images
por: Primetis, Elias, et al.
Publicado: (2022)

Adult form of Langerhans cell histiocytosis with pulmonary and hepatic involvement mimicking malignancy in a patient with chronic hepatitis C infection
por: Moullet, Barbara, et al.
Publicado: (2020)

Perspectives of Youths on the Ethical Use of Artificial Intelligence in Health Care Research and Clinical Care
por: Thai, Kelly, et al.
Publicado: (2023)

Mining Prognosis Index of Brain Metastases Using Artificial Intelligence
por: Huang, Shigao, et al.
Publicado: (2019)

The Role of Artificial Intelligence in the Diagnosis and Prognosis of Renal Cell Tumors
por: Giulietti, Matteo, et al.
Publicado: (2021)

Correlation of gastrointestinal perforation location and amount of free air and ascites on CT imaging
por: Drakopoulos, Dionysios, et al.
Publicado: (2021)

The advent of medical artificial intelligence: lessons from the Japanese approach
por: Ishii, Euma, et al.
Publicado: (2020)

Algorithmic Political Bias in Artificial Intelligence Systems
por: Peters, Uwe
Publicado: (2022)

Myocardial scar detection in free-breathing Dixon-based fat- and water-separated 3D inversion recovery late-gadolinium enhancement whole heart MRI
por: Peters, Alan A., et al.
Publicado: (2022)

A multifactorial analysis of obesity as CVD risk factor: Use of neural network based methods in a nutrigenetics context
por: Valavanis, Ioannis K, et al.
Publicado: (2010)

Mask, Train, Repeat! Artificial Intelligence for Quantitative Wood Anatomy
por: Resente, Giulia, et al.
Publicado: (2021)

Artificial Intelligence in Coronary Computed Tomography Angiography: From Anatomy to Prognosis
por: Muscogiuri, Giuseppe, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_tqn4aod3b6gt175l4ie1tddmst