AI News, What the radiologist should know about artificial intelligence artificial intelligence

What the radiologist should know about artificial intelligence – an ESR white paper

Did you ever get lost between all the buzz words floating around like artificial intelligence, imaging informatics, radiomics, imaging biobanks, neural networks, clinical decision support, etc.?

Just as Amazon’s recruitment tool showed bias against women and was finally shut down, if not implemented properly, an artificial intelligence tool could tend to suggest not treating patients of a specific subgroup because of an unidentified bias in the training data.

Rather, we should educate ourselves and be aware of areas where these algorithms could really assist with tedious tasks and areas where more caution and validation is needed to ensure we continue to provide high-quality service and value to our patients.

VIDEO: How Utilization of Artificial Intelligence Will Impact Radiology

Here is an example of new artificial intelligence (AI) driven health information systems that aim to improve efficiency, speed workflow and make finding relevant patient data fast.

All are clickable and show a small pop-up box with a key image and brief description, and a link to the full set of images and the full report.  Other boxes on the screen help organize the relevant patient data into easily digestible bits with links to full reports or areas of the patient record.

Artificial intelligence: a challenge for third millennium radiologist

They produce a large number of images, on which the radiologist writes, after a subjective and personal evaluation, essentially qualitative, the diagnosis, the so-called report.

The ambitious objective is to identify, thanks to complex mathematical and statistical algorithms, which information, inaccessible to simple visual analysis, can predict the evolution of the disease and the effectiveness of the therapy, but in a quantitative and objective way.

Artificial intelligence, machine learning, big data, radiomics are just some of the many terms that are used by researchers in the field, especially computer scientists, clinical engineers, physicists, to define their activities.

In fact, it will never be sufficient to collect only the data, raw or in DICOM format, also re-elaborated to constitute the so-called big data, but it will be necessary to correlate them with the radiological reports, so that the computer can process them and find the correlation between them and the “phenotype” in question.

Our report will contain over time not only a subjective and qualitative interpretation of the images, our diagnosis, but also a series of numerical values, objective and quantitative features, our contribution to the prognosis, because some of them will have proved useful to predict the efficacy of the therapeutic response.

Artificial Intelligence in Radiology: What you need to know Part 1

For more, visit our website at Check out the apple app store for CTisus apps: ..

Will ARTIFICIAL INTELLIGENCE Replace RADIOLOGISTS?? - My view of AI in Radiology - 2019

Artificial Intelligence (AI) in medicine has been a hot topic lately. Some of the questions I get asked are: Is AI replacing DOCTORS? Is AI going to make ...

Artificial Intelligence in Radiology: What you need to know Part 2

For more, visit our website at Check out the apple app store for CTisus apps: ..

Will Artificial Intelligence Replace Radiologists? - The Medical Futurist

Artificial intelligence is everywhere. Let's look at radiology. The rapid development of artificial narrow intelligence mostly in understanding images, text, and ...

This AI Is Beating Doctors At Their Own Game

When you think of fields that are being affected by automation, medicine doesn't usually come to mind. But recent developments in artificial intelligence have ...

Will AI replace radiologists?

SarelGaurMD discusses this important challenge to the future of radiology.

Will AI Replace the Radiologist?

Jeremy De Sy, Aidoc Sales Manager Europe, speaks about the future of AI for radiology at Journées Francophones de Radiologie (JFR) 2018.

AI will replace ALL physicians (not just Radiologists)

SarelGaurMD discusses why all physicians should be worried about artificial intelligence algorithms.

Will Radiologists lose jobs to AI?

Dr. Matthew Lungren from Stanford Radiology and the Stanford Artifical Intelligence in Medicine and Imaging Center ( answers question about ...

Augmenting Radiology with AI

Listen to influencers in radiology from the University of Chicago, the American College of Radiology, Stanford Children's Health, and OSU Wexner Medical ...