Research Presentation Session

RPS 104 - Artificial intelligence (AI) and technological improvements in chest imaging

Lectures

1
RPS 104 - Assessment of pneumothorax detection performance with and without the aid of a deep-learning-based AI algorithm

RPS 104 - Assessment of pneumothorax detection performance with and without the aid of a deep-learning-based AI algorithm

06:12A. Baenen, Waukesha WI / US

2
RPS 104 - Clinical evaluation of a deep learning-based, pneumothorax (PTX) classification AI model on frontal chest x-ray images

RPS 104 - Clinical evaluation of a deep learning-based, pneumothorax (PTX) classification AI model on frontal chest x-ray images

05:17R. Kurokawa, Tokyo / JP

3
RPS 104 - Diagnostic performance of a new reconstruction technique for dual-energy CT (DECT) lung perfusion: preliminary experience in 58 patients

RPS 104 - Diagnostic performance of a new reconstruction technique for dual-energy CT (DECT) lung perfusion: preliminary experience in 58 patients

06:13M. Remy-Jardin, Lille / FR

4
RPS 104 - Chest CT at x-ray dose using a novel noise-mitigating projection technique: diagnostic value for detecting pneumonia in immunocompromised patients

RPS 104 - Chest CT at x-ray dose using a novel noise-mitigating projection technique: diagnostic value for detecting pneumonia in immunocompromised patients

06:01P. Rogalla, Toronto, ON / CA

5
RPS 104 - Comparison of capability for distinguishing metastatic from non-metastatic lymph nodes among computed DWI (cDWI), actual DWI (aDWI) and PET/CT in non-small cell lung cancer

RPS 104 - Comparison of capability for distinguishing metastatic from non-metastatic lymph nodes among computed DWI (cDWI), actual DWI (aDWI) and PET/CT in non-small cell lung cancer

04:02Y. Ohno, Toyoake / JP

6
RPS 104 - Mismatch of predicted lung volume and CT-derived lung volume in a general population cohort

RPS 104 - Mismatch of predicted lung volume and CT-derived lung volume in a general population cohort

04:40H. Wisselink, Groningen / NL

RPS 104-2
5 min
Assessment of pneumothorax detection performance with and without the aid of a deep-learning-based AI algorithm
Alec Baenen, Waukesha, WI / United States
   
RPS 104-3
5 min
Clinical evaluation of a deep learning-based, pneumothorax (PTX) classification AI model on frontal chest x-ray images
Ryo Kurokawa, Tokyo / Japan
   
RPS 104-4
5 min
Diagnostic performance of a new reconstruction technique for dual-energy CT (DECT) lung perfusion: preliminary experience in 58 patients
Martine Remy-Jardin, Lille / France
   
RPS 104-5
5 min
Chest CT at x-ray dose using a novel noise-mitigating projection technique: diagnostic value for detecting pneumonia in immunocompromised patients
Patrik Rogalla, Toronto, ON / Canada
   
RPS 104-6
5 min
Comparison of capability for distinguishing metastatic from non-metastatic lymph nodes among computed DWI (cDWI), actual DWI (aDWI) and PET/CT in non-small cell lung cancer
Yoshiharu Ohno, Toyoake / Japan
   
RPS 104-7
5 min
Mismatch of predicted lung volume and CT-derived lung volume in a general population cohort
Hendrik Joost Wisselink, Groningen / Netherlands
   
25 min
Live Q&A
 
   

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