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AI Technology Set To Enhance Fracture Detection In X-Rays For Healthcare Professionals

by Shreeya

Artificial intelligence (AI) is poised to revolutionize the diagnosis of fractures, according to the National Institute for Health and Care Excellence (NICE). The organization highlights that integrating AI into the analysis of X-rays could significantly reduce the number of missed broken bones, a common issue in emergency departments.

Research indicates that AI technology is safe and has the potential to expedite diagnoses, easing the workload on clinicians and decreasing the necessity for follow-up appointments. NICE plans to recommend four specific AI tools for use in urgent care settings across England while further evidence on their efficacy is gathered.

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Importantly, AI will not replace human expertise; every X-ray analyzed will still be reviewed by a qualified healthcare professional. Currently, NICE reports that fractures are overlooked in 3-10% of cases, making it the most frequent diagnostic error in emergency care. The NHS faces a shortage of trained professionals, with vacancy rates reaching 12.5% for radiologists and 15% for radiographers, exacerbating the issue.

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Mark Chapman, director of health technology at NICE, emphasized the benefits of AI: “These technologies are safe and can identify fractures that might be missed under the current pressures facing healthcare professionals. By leveraging AI, we can enhance diagnosis speed and potentially reduce the number of follow-up visits necessary due to overlooked injuries.”

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NICE assures that the introduction of AI is unlikely to result in more incorrect diagnoses or unnecessary referrals, as each X-ray will continue to be examined by a radiologist. This dual approach aims to improve outcomes compared to a clinician working in isolation.

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The promise of AI in healthcare extends beyond fracture detection. It is already being utilized to identify early signs of breast cancer, assess heart attack risks, and even predict future pandemics.

NICE is currently conducting a consultation on its draft guidance regarding the use of AI in X-ray analysis, which will close on November 5.

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