Artificial intelligence (AI) in unmet clinical needs - ESR Connect

Research Presentation Session

RPS 205 - Artificial intelligence (AI) in unmet clinical needs

March 3, 08:00 - 09:00 CET

  • 6 Lectures
  • 60 Minutes
  • 6 Speakers
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Description

RPS 205-2
5 min
Deep learning algorithm to predict positive MRI of the sacroiliac joints according to the ASAS definition in patients with recent axial spondyloarthritis
Charlotte Martin, Paris / France
RPS 205-3
5 min
Automatic pancreas segmentation using a novel deep learning method: evaluation on both arterial and portal phases CT
Wang Xiheng, Beijing / China
RPS 205-4
5 min
Multivariable diagnostic prediction model development study for gene expression profile from MRI ADC radiomics with artificial neural networks in malignant breast lesions
Mehmet Bilgin Eser, Istanbul / Turkey
RPS 205-5
5 min
Liver metastases changes analysis in CECT based on simultaneous deep learning
Jacob Sosna, Jerusalem / Israel
RPS 205-6
5 min
Artificial intelligence software for flagging intracranial haemorrhage on head CT associated with reduction of mortality, readmission rate and CT turnaround time
Daniel Raskin, Ramat Gan / Israel
RPS 205-7
5 min
Multi-stage AI analysis system to support prostate cancer diagnostic imaging
Antony Rix, Cambridge / UK
25 min
Live Q&A

Categories and Tags

CME Information

This session is accredited with 1 CME credit.

Moderators

Presenter

Luis Marti-Bonmati

Valencia, Spain

Speakers

Presenter

Charlotte Martin

Paris, France

Presenter

Wang Xiheng

Beijing, China

Presenter

Mehmet Bilgin Eser

Istanbul, Turkey

Presenter

Jacob Sosna

Jerusalem, Israel

Presenter

Daniel Raskin

Etz Efraim, Israel

Presenter

Antony William Rix

Cambridge, United Kingdom