ESR Connect

Research Presentation Sessions: Imaging Informatics / Artificial Intelligence and Machine Learning

RPS 405 - Artificial intelligence (AI) in chest imaging: part 1

  • ECR 2022
  • 11 Lectures
  • 90 Minutes
  • 11 Speakers

Lectures

1
Introduction by the moderator

Introduction by the moderator

02:00Dag Wormanns, Berlin / DE

2
Malignancy risk stratification for pulmonary nodules: comparing a deep-learning approach to multiparametric statistical methods

Malignancy risk stratification for pulmonary nodules: comparing a deep-learning approach to multiparametric statistical methods

08:00Lars Piskorski, Heidelberg / DE

3
Detection of unreported clinically significant pulmonary nodules using a combination of computer vision (CV) algorithm and report processing

Detection of unreported clinically significant pulmonary nodules using a combination of computer vision (CV) algorithm and report processing

08:00Dana Stav, Tel Aviv-Yafo / IL

4
Earlier discharge of patients from follow-up for lung cancer screening using artificial intelligence for detection of pulmonary noduli on computed tomography

Earlier discharge of patients from follow-up for lung cancer screening using artificial intelligence for detection of pulmonary noduli on computed tomography

08:00Inge Gimbel, Utrecht / NL

5
AI post-COVID study. Predicting post-COVID pulmonary sequelae applying AI to imaging and clinical data: preliminary results of an Italian multicentre study

AI post-COVID study. Predicting post-COVID pulmonary sequelae applying AI to imaging and clinical data: preliminary results of an Italian multicentre study

08:00Silvia Gonella, Milan / IT

6
Transfer learning with convolutional neural network for pneumonia detection on chest radiographs

Transfer learning with convolutional neural network for pneumonia detection on chest radiographs

08:00Mitsuteru Tsuchiya, Hamamatsu / JP

7
Chest CT-based deep-learning model for predicting risk of transition to severe disease in patients with initial diagnosis of mild COVID-19

Chest CT-based deep-learning model for predicting risk of transition to severe disease in patients with initial diagnosis of mild COVID-19

08:00Xiaoping Yi, Changsha / CN

8
Evaluation and determination of radiological findings of COVID-19 lung lesions in Latvia: study of artificial intelligence performance

Evaluation and determination of radiological findings of COVID-19 lung lesions in Latvia: study of artificial intelligence performance

08:00Laura Keisa, Rīga / LV

9
The value of AI based CT severity scoring system in the triage of patients with Covid-19 pneumonia as regards oxygen requirement and place of admission

The value of AI based CT severity scoring system in the triage of patients with Covid-19 pneumonia as regards oxygen requirement and place of admission

08:00ANIRUDH KOHLI, Mumbai / IN

10
Automated detection of emphysema using artificial intelligence on CT scans: accuracy and prognostic value

Automated detection of emphysema using artificial intelligence on CT scans: accuracy and prognostic value

08:00Cristina Mota, Lousada / PT

11
Measuring the impact of Artificial Intelligence-enhanced x-ray image analysis on the reporting performance of frontline clinicians: the GE critical care suite pneumothorax reader study

Measuring the impact of Artificial Intelligence-enhanced x-ray image analysis on the reporting performance of frontline clinicians: the GE critical care suite pneumothorax reader study

08:00Alex Novak, Oxford / UK

Tags

    Moderators

    • Dag Wormanns

      Berlin / Germany

    Speakers

    • Lars Piskorski

      Heidelberg / Germany

    • Dana Stav

      Tel Aviv / Israel

    • Inge Gimbel

      Utrecht / Netherlands

    • Silvia Gonella

      Milan / Italy

    • Mitsuteru Tsuchiya

      Hamamatsu / Japan

    • Xiaoping Yi

      Changsha / China

    • Laura Keisa

      Rīga / Latvia

    • Anirudh Kohli

      Mumbai / India

    • Cristina Mota

      Lousada / Portugal

    • Alex Novak

      Oxford / United Kingdom