Remove Patient Care Remove Patient Safety Remove Radiologist
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FDA authorizes AI-driven MRI Solution for Safer Alzheimer’s Treatment

Imaging Technology

A large study, needed for FDA clearance, demonstrated that the use of icobrain aria significantly increases the accuracy of ARIA assessments by radiologists and hence allows for safer use of new amyloid-beta targeting therapies for Alzheimer’s disease patients. icobrain aria was thoroughly evaluated in large reader studies.

MRI 111
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MRI safety oversight: Gaps 'big enough to drive a truck through'

AuntMinnie

MRI safety oversight is spotty at best, with gaps "big enough to drive a truck through," according to Tobias Gilk, founder of Gilk Radiology Consultants in Overland Park, KS, and senior vice president of Radiology-Planning in Mission, KS.

MRI 340
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How to handle software service agreements in radiology

AuntMinnie

Those that involve patient care and patient safety are always at the top of the list. Those that impact radiologist or technologist (tech) workflow are a very close second, although some might invert that criticality. Radiologists are under pressure to turn around studies as quickly as possible.

PACS 278
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What are the top uses for ChatGPT in radiology?

AuntMinnie

Current and future applications of ChatGPT and other large language models (LLMs) in radiology hold immense promise for improving patient care and outcomes, according to an article published October 5 in Academic Radiology. In addition, the authors noted that administrative tasks are another area where ChatGPT can be implemented.

Radiology 235
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The Human Element of AI in Radiology Deployment

Aidoc

Dr. Jose emphasized that AI isnt a substitute for radiologists or technologists but rather an augmentation tool that enhances their roles. Dr. Jose described how this approach not only expedites care but also transforms the way technologists and nurses interact with patients. Its about patient care.

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Can LLMs help improve oncologic imaging interpretation?

AuntMinnie

Radiologists highly prefer patient clinical histories generated by large language models (LLMs) for oncologic imaging requisitions to those typically produced by referring physicians,according to research published February 4 in Radiology.

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RSNA 2024 Recap: Foundation Models and the Future of Radiology AI

Aidoc

While AI has been a key theme at the Radiological Society of North America (RSNA) conference for several years, this year marked a pivotal shift: foundation models emerged as the transformative force poised to redefine healthcare workflows, diagnostics and patient care. The Road Ahead Radiology is at a transformative juncture.