AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Radiologists

Showing 351 to 360 of 490 articles

Clear Filters

Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography.

Cell
Many COVID-19 patients infected by SARS-CoV-2 virus develop pneumonia (called novel coronavirus pneumonia, NCP) and rapidly progress to respiratory failure. However, rapid diagnosis and identification of high-risk patients for early intervention are ...

Artificial intelligence: radiologists' expectations and opinions gleaned from a nationwide online survey.

La Radiologia medica
PURPOSE: To report the results of a nationwide online survey on artificial intelligence (AI) among radiologist members of the Italian Society of Medical and Interventional Radiology (SIRM).

Understanding artificial intelligence based radiology studies: What is overfitting?

Clinical imaging
Artificial intelligence (AI) is a broad umbrella term used to encompass a wide variety of subfields dedicated to creating algorithms to perform tasks that mimic human intelligence. As AI development grows closer to clinical integration, radiologists ...

AI for reading screening mammograms: the need for circumspection.

European radiology
• The studies on AI reading of screening mammograms have methodological limitations that undermine the conclusion that AI could do better than radiologists. • These studies do not informon numbers of extra breast cancers found by AI that could repres...

Myths and facts about artificial intelligence: why machine- and deep-learning will not replace interventional radiologists.

Medical oncology (Northwood, London, England)
Artificial intelligence (AI) is revolutionizing healthcare and transforming the clinical practice of physicians across the world. Radiology has a strong affinity for machine learning and is at the forefront of the paradigm shift, as machines compete ...

Three artificial intelligence data challenges based on CT and MRI.

Diagnostic and interventional imaging
PURPOSE: The second edition of the artificial intelligence (AI) data challenge was organized by the French Society of Radiology with the aim to: (i), work on relevant public health issues; (ii), build large, multicentre, high quality databases; and (...