AIMC Topic: Societies, Medical
Clear Filters Showing 51 to 60 of 82 articles
Tackling the Radiological Society of North America Pneumonia Detection Challenge.
AJR. American journal of roentgenology
May 23, 2019
We provide overviews of deep learning approaches used by two top-placing teams for the 2018 Radiological Society of North America (RSNA) Pneumonia Detection Challenge. Practical applications of deep learning techniques, as well as insights into the...
Using Artificial Intelligence to Revise ACR TI-RADS Risk Stratification of Thyroid Nodules: Diagnostic Accuracy and Utility.
Radiology
May 21, 2019
Background Risk stratification systems for thyroid nodules are often complicated and affected by low specificity. Continual improvement of these systems is necessary to reduce the number of unnecessary thyroid biopsies. Purpose To use artificial inte...
Reproducibility of Results
Risk Assessment
Aged
Artificial Intelligence
Young Adult
Adolescent
Humans
Retrospective Studies
Aged, 80 and over
Adult
Thyroid Gland
Image Interpretation, Computer-Assisted
Thyroid Nodule
Female
Male
Sensitivity and Specificity
Radiology Information Systems
United States
Middle Aged
Societies, Medical
Diagnostic Imaging
Canadian Association of Radiologists White Paper on Ethical and Legal Issues Related to Artificial Intelligence in Radiology.
Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
Apr 5, 2019
Artificial intelligence (AI) software that analyzes medical images is becoming increasingly prevalent. Unlike earlier generations of AI software, which relied on expert knowledge to identify imaging features, machine learning approaches automatically...
Machine learning concepts, concerns and opportunities for a pediatric radiologist.
Pediatric radiology
Mar 29, 2019
Machine learning, a subfield of artificial intelligence, is a rapidly evolving technology that offers great potential for expanding the quality and value of pediatric radiology. We describe specific types of learning, including supervised, unsupervis...
The European Federation of Organisations for Medical Physics (EFOMP) White Paper: Big data and deep learning in medical imaging and in relation to medical physics profession.
Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
Nov 16, 2018
Big data and deep learning will profoundly change various areas of professions and research in the future. This will also happen in medicine and medical imaging in particular. As medical physicists, we should pursue beyond the concept of technical qu...
How Structured Use Cases Can Drive the Adoption of Artificial Intelligence Tools in Clinical Practice.
Journal of the American College of Radiology : JACR
Oct 26, 2018
A glimpse into the future of clinical neurophysiology: Can we use machines to interpret EEG?
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
Jul 29, 2018
Canadian Association of Radiologists White Paper on Artificial Intelligence in Radiology.
Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
Apr 11, 2018
Artificial intelligence (AI) is rapidly moving from an experimental phase to an implementation phase in many fields, including medicine. The combination of improved availability of large datasets, increasing computing power, and advances in learning ...
The ACR Data Science Institute and AI Advisory Group: Harnessing the Power of Artificial Intelligence to Improve Patient Care.
Journal of the American College of Radiology : JACR
Feb 3, 2018
Big Data and Machine Learning: A Resident's Perspective of the 2016 Intersociety Conference.
Journal of the American College of Radiology : JACR
Sep 9, 2017
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