Airway diseases
Interstitial lung diseases
Thoracic oncology
Grand round
Imaging grand round
Clinical
Emerging imaging technologies and innovative study fields in respiratory diseases
Aims : To describe the latest advances in imaging technology with a focus on diagnosis of early disease and prevention; to evaluate the role of artificial intelligence in imaging and the integration of artificial intelligence with emerging imaging techniques, such as magnetic resonance imaging (MRI) and quantitative computed tomography (CT), as well as deep learning; to evaluate the use of radiogenomics in classifying patients who will benefit from cancer treatment and predict outcomes using texture analysis; and to describe the results of imaging twin studies in estimating the role of genetic, epigenetic and environmental effects on respiratory diseases.
Target audience :
Adult pulmonologist/Clinician, Clinical researcher, General practitioner, Medical Student, Nurse, Respiratory critical care physician, Paediatrician, Radiologist, Scientist (basic, translational), Thoracic oncologist, Thoracic surgeon, Journalist
09:30
Introduction
1
3746
09:35
Deep learning and its applications to lung imaging
M. Vakalopoulou(Gif-sur-Yvette, France)
COI
-
Description
2
3747
09:55
Discussion and Q&A
3
3748
10:05
Artificial intelligence in lung cancer: where are we now?
F. Gleeson(Oxford (Oxfordshire), United Kingdom)
COI
-
Description
4
3749
10:25
Discussion and Q&A
5
3750
10:35
The future is here in thoracic oncologic imaging: role of radiogenomics
Z. Bodalal Elkarghali(Amsterdam, Netherlands)
COI
-
Description
6
3751
10:55
Discussion and Q&A
7
3752
11:05
Imaging twin studies to unravel the genetic, epigenetic and environmental background of lung diseases: Part I
Á. Tárnoki(Budapest, Hungary)
COI
-
Description
8
3753
11:15
Imaging twin studies to unravel the genetic, epigenetic and environmental background of lung diseases: Part II
D. Tarnoki(Budapest, Hungary)
COI
9
3754
11:25
Discussion and Q&A
10
3755
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