Source link : https://health365.info/ai-problem-fashions-can-independently-interpret-mammograms/
(A) Left mediolateral indirect (LMLO) mammogram in a 58-year-old lady with a space of microcalcification (field). (B) Magnified view (2.2×) of the field in A. This situation used to be recalled through all the most sensible 10 synthetic intelligence algorithms however used to be discovered to be benign at biopsy research. Credit score: Radiological Society of North The us (RSNA)
Algorithms submitted for an AI Problem hosted through the Radiological Society of North The us (RSNA) have proven very good efficiency for detecting breast cancers on mammography photographs, expanding screening sensitivity whilst keeping up low recall charges, in keeping with a learn about printed in Radiology.
The RSNA Screening Mammography Breast Most cancers Detection AI Problem used to be a crowdsourced festival that happened in 2023, with greater than 1,500 groups taking part. The Radiology article main points an research of the algorithms’ efficiency, led through Yan Chen, Ph.D., a professor of most cancers screening on the College of Nottingham in the UK.
“We were overwhelmed by the volume of contestants and the number of AI algorithms that were submitted as part of the Challenge,” Prof. Chen mentioned.
“It’s one of the most participated-in RSNA AI Challenges. We were also impressed by the performance of the algorithms given the relatively short window allowed for algorithm development and the requirement to source training data from open-sourced…
—-
Author : admin
Publish date : 2025-08-12 14:55:00
Copyright for syndicated content belongs to the linked Source.
—-
1 – 2 – 3 – 4 – 5 – 6 – 7 – 8