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DASH Webinar: Identifying diseases earlier using AI-based Imaging Biomarkers
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This is a recording of the DASH Webinar 'Identifying diseases earlier using AI-based Imaging Biomarkers' that was hosted on September 21, 2022. Rozemarijn Vliegenthart, Radiologist, Professor of Cardiothoracic Imaging and DASH expert in Clinical Cohort Data, hosted this webinar.
Lung cancer, coronary heart disease and chronic obstructive pulmonary disease (COPD) are common diseases. Together, these three are called the "Big 3". Due to the ageing population and other factors, the incidence of the Big 3 is increasing. Early detection with early treatment is crucial to reduce the burden of the Big 3 diseases.
The B3CARE project evaluates early stages of these three diseases using low-dose computed tomography (CT) scans. Measurement of imaging biomarkers on CT can help to identify individuals with early stages of the Big-3 diseases, before symptoms occur. However, this evaluation of imaging biomarkers is labour intensive. The B3CARE project therefore automates the evaluation of CT scans and builds a secure system for validation of AI-based tools.
▬ Contents of this video ▬▬▬▬▬▬▬▬▬▬
0.00 - Introduction | Rozemarijn Vliegenthart, project leader of B3CARE
3.13 - The B3Care project: what we’ve done so far | Gert-Jan Pelgrim, Postdoctoral Researcher at UMCG Radiology department
19.08 - Building a fully automated pipeline for bronchial parameter evaluation | Ivan Dudurych, Radiology PhD Candidate at UMCG
33.00 - The use of AI and image processing in the construction of clinical decision support systems in respiratory diseases | Jose Lozano, data scientist at Quibim
47.00 - Q&A
𝐌𝐨𝐫𝐞 𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐚𝐛𝐨𝐮𝐭 𝐭𝐡𝐞 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐂𝐞𝐧𝐭𝐞𝐫 𝐢𝐧 𝐇𝐞𝐚𝐥𝐭𝐡 (𝐃𝐀𝐒𝐇):
DASH is the Data Science Center in Health of the UMCG: a knowledge hub, community and facilitator in the area of health data science. DASH aims to advance data science in health by supporting innovative research projects and by bringing experts in data science, artificial intelligence and ehealth together.
Lung cancer, coronary heart disease and chronic obstructive pulmonary disease (COPD) are common diseases. Together, these three are called the "Big 3". Due to the ageing population and other factors, the incidence of the Big 3 is increasing. Early detection with early treatment is crucial to reduce the burden of the Big 3 diseases.
The B3CARE project evaluates early stages of these three diseases using low-dose computed tomography (CT) scans. Measurement of imaging biomarkers on CT can help to identify individuals with early stages of the Big-3 diseases, before symptoms occur. However, this evaluation of imaging biomarkers is labour intensive. The B3CARE project therefore automates the evaluation of CT scans and builds a secure system for validation of AI-based tools.
▬ Contents of this video ▬▬▬▬▬▬▬▬▬▬
0.00 - Introduction | Rozemarijn Vliegenthart, project leader of B3CARE
3.13 - The B3Care project: what we’ve done so far | Gert-Jan Pelgrim, Postdoctoral Researcher at UMCG Radiology department
19.08 - Building a fully automated pipeline for bronchial parameter evaluation | Ivan Dudurych, Radiology PhD Candidate at UMCG
33.00 - The use of AI and image processing in the construction of clinical decision support systems in respiratory diseases | Jose Lozano, data scientist at Quibim
47.00 - Q&A
𝐌𝐨𝐫𝐞 𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐚𝐛𝐨𝐮𝐭 𝐭𝐡𝐞 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐂𝐞𝐧𝐭𝐞𝐫 𝐢𝐧 𝐇𝐞𝐚𝐥𝐭𝐡 (𝐃𝐀𝐒𝐇):
DASH is the Data Science Center in Health of the UMCG: a knowledge hub, community and facilitator in the area of health data science. DASH aims to advance data science in health by supporting innovative research projects and by bringing experts in data science, artificial intelligence and ehealth together.
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