We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us

Download Mobile App


ATTENTION: Due to the COVID-19 PANDEMIC, many events are being rescheduled for a later date, converted into virtual venues, or altogether cancelled. Please check with the event organizer or website prior to planning for any forthcoming event.

Most Radiologists Want to Adopt AI Tools into Clinical Practice, Finds Study

By MedImaging International staff writers
Posted on 17 Aug 2022
Print article
Image: Radiologists would prefer AI-based decision support during screening mammography interpretation (Photo courtesy of Pexels)
Image: Radiologists would prefer AI-based decision support during screening mammography interpretation (Photo courtesy of Pexels)

Artificial intelligence (AI) may improve cancer detection and risk prediction during mammography screening, but radiologists’ preferences regarding its characteristics and implementation are unknown. Now, a new study into radiologists’ preferences pertaining to the use of AI as a support tool for cancer detection and risk prediction during mammography screening has found that up to 60% of radiologists intend to adopt AI tools into clinical practice in the near future.

Through qualitative interviews with radiologists, investigators at the University of Washington (Seattle, WA, USA) and Seattle Cancer Care Alliance (Seattle, WA, USA) identified five primary attributes for AI-based breast cancer detection and four for breast cancer risk prediction. The team developed a discrete choice experiment (DCE) based on these attributes and invited 150 U.S.-based radiologists to participate. Each respondent made eight choices for each tool between three alternatives: two hypothetical AI-based tools versus screening without AI. The investigators analyzed sample-wide preferences using random parameters logit models and identified subgroups with latent class models. The respondents (N=66; 44% response rate) were from six diverse practice settings across eight states.

The investigators found that the radiologists were more interested in AI for cancer detection when sensitivity and specificity were balanced (94% sensitivity with <25% of examinations marked) and AI mark-up appeared at the end of the hanging protocol after radiologists complete their independent review. For AI-based risk prediction, the radiologists preferred AI models using both mammography images and clinical data. Overall, 46-60% intended to adopt any of the AI tools presented in the study; 26-33% approached AI enthusiastically but were deterred if the features did not align with their preferences. Based on these findings, the investigators concluded that although most radiologists want to use AI-based decision support, short-term uptake may be maximized by implementing tools that meet the preferences of dissuadable users.

Related Links:
University of Washington 
Seattle Cancer Care Alliance 

Print article
Sun Nuclear -    Mirion



view channel
Image: The FDA has cleared the CSA system with Dynamic Digital Radiography (Photo courtesy of 20/20 Imaging)

Advanced Digital X-Ray System Allows Clinicians to Capture and Visualize Anatomy in Motion

Dynamic Digital Radiography (DDR) is a revolutionary X-ray technology that enables the visualization of anatomy in motion, so clinicians can interpret the dynamic interaction of anatomical structures,... Read more


view channel
Image: EG-740UT ultrasound endoscope combined with ARIETTA 850 provides outstanding ultrasound image quality (Photo courtesy of FUJIFILM)

Next-Gen Ultrasound Endoscope Enables Complex Diagnostic and Therapeutic Procedures

Endoscopic ultrasound is a specialist procedure performed utilizing an endoscope equipped with an ultrasonic transducer which emits and receives ultrasonic waves within the gastrointestinal tract, such... Read more

Imaging IT

view channel

Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology

The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read more
Copyright © 2000-2022 Globetech Media. All rights reserved.