What the Radiologist should Know about Artificial Intelligence - An ESR White Paper

This paper aims to provide a review of the basis for application of AI in radiology, to discuss the immediate ethical and professional impact in radiology, and to consider possible future evolution. Even if AI does add significant value to image interpretation, there are implications outside the traditional radiology activities of lesion detection and characterisation. In radiomics, AI can foster the analysis of the features and help in the correlation with other omics data. Imaging biobanks would become a necessary infrastructure to organise and share the image data from which AI models can be trained. AI can be used as an optimising tool to assist the technologist and radiologist in choosing a personalised patient's protocol, tracking the patient's dose parameters, providing an estimate of the radiation risks. AI can also aid the reporting workflow and help the linking between words, images, and quantitative data. Finally, AI coupled with CDS can improve the decision process and there by optimise clinical and radiological workflow.

This paper was prepared by Prof. Emanuele Neri (Chair of the ESR eHealth and Informatics Subcommittee), Prof. Nandita de Souza (Chair of the ESR European Imaging Biomarkers Alliance - EIBALL Subcommittee), and Dr. Adrian Brady (Chair of the ESR Quality, Safety and Standards Committee), on behalf of and supported by the eHealth and Informatics Subcommittee of the European Society of Radiology (ESR).

The authors gratefully acknowledge the valuable contribution to the paper of Dr. Angel Alberich Bayarri, Prof. Christoph D. Becker, Dr. Francesca Coppola, and Dr. Jacob Visser, as members of the ESR eHealth and Informatics Subcommittee.

The paper was approved by the ESR Executive Council in February 2019.

Download: What the Radiologist should Know about Artificial Intelligence - An ESR White Paper (.pdf, 546 KB).

Download from eHealthNews.eu: What the Radiologist should Know about Artificial Intelligence - An ESR White Paper (.pdf, 546 KB).

Most Popular Now

AI-Pathway Companion Prostate Cancer fro…

AI-Pathway Companion Prostate Cancer(2), a digital companion from Siemens Healthineers to support clinical decision-making, has recently received the CE mark for use in the clinical pathway of prostate cancer, the...

Philips Launches HealthSuite System of E…

Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, today announced the HealthSuite System of Engagement, an integrated, modular set of standards-based capabilities that support the development...

AI may Help Spot Newborns at Risk for Mo…

An artificial intelligence (AI) device that has been fast-tracked for approval by the Food and Drug Administration may help identify newborns at risk for aggressive posterior retinopathy of prematurity (AP-ROP)...

Boehringer Ingelheim Launches Patient-Ce…

Boehringer Ingelheim and Carebox Healthcare Solutions announced the recent launch of MyStudyWindow, a digital platform empowering patients, families, caregivers, and doctors to learn about Boehringer Ingelheim's studies by offering information...

Best of Breed: Start with Data in Open P…

Better is attending this year's Digital Health Rewired conference and exhibition at Olympia London alongside Taunton and Somerset NHS Foundation Trust, which is using its open platform to develop an...

Highland Marketing is Sponsoring the Caf…

Highland Marketing will be returning to Digital Health Rewired this year, where it will be sponsoring the café that has been created with an expanded exhibition area. Digital Health Rewired launched...

Siemens Healthineers Introduces Teamplay…

Siemens Healthineers announces market introduction of the teamplay digital health platform. With the teamplay digital health platform Siemens Healthineers paves the way for healthcare providers' digital transformation - facilitating easy...

International Scientific Symposium DigiH…

13 November 2020, Pfarrkirchen, Germany DigiHealthDay @DIT-ECRI is going to be a daylong action-packed event targeting primarily academia - from established researchers, to young scientists and students. Following the theme "How...

Digital Heart Model will Help Predict Fu…

In recent times, researchers have increasing found that the power of computers and artificial intelligence is enabling more accurate diagnosis of a patient's current heart health and can provide an...