AI Performs Comparably to Human Readers of Mammograms
Using a standardized assessment, researchers in the U.K. compared the performance of a commercially available artificial intelligence algorithm with human readers of screening mammograms.
Using a standardized assessment, researchers in the U.K. compared the performance of a commercially available artificial intelligence algorithm with human readers of screening mammograms.
Researchers at Monash University in Australia have designed a new co-training artificial intelligence (AI) algorithm for medical imaging that can effectively mimic the process of seeking a second opinion.
Incorrect advice by an AI-based decision support system could seriously impair the performance of radiologists at every level of expertise when reading mammograms, according to a new study.
Healthcare executives have acknowledged the need and desire to implement AI technologies to improve patient care and to streamline workflows. However, one of the biggest challenges has been overcoming this economic question: Who bears the cost of this new AI?
Read MoreCertain reasons for artificial intelligence (AI) tool failure relating to technical factors may be largely preventable through proper acquisition and reconstruction protocols, according to a new study.
Read MoreIn a pioneering, randomized controlled study evaluating the effect of artificial intelligence (AI)-based software in real clinical practice, researchers found that AI significantly improved the detection of lung nodules on chest x-rays.
Read MoreArtificial intelligence (AI) can reconstruct coarsely sampled, rapid MRI scans into high-quality images with similar diagnostic value as those generated through traditional MRI, according to a new study.
Read MoreFollowing a successful rollout of the RSNA Imaging AI Certificate Program in 2022, the new Advanced Certificate course is now available.
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