According to the National Institute for Health and Care Excellence, which endorses AI technology as a support tool for NHS clinicians, AI could reduce missed fractures on X-rays by quite a margin.

This technology is designed to ease the burden on the overextended radiology workforce while providing more accurate diagnostics.

NICE's studies indicate how the inclusion of AI systems in the evaluation process of X-ray images used in urgent care will give more accuracy to the fracturing diagnoses; it usually does because these systems facilitate the discovery of cases where the situation has been entirely missed, being under significant clinical demands.

The Health body has also proposed testing four individual AI tools chosen for testing throughout England: the AI supported diagnosis under the full observation of their human healthcare peers. Based on NICE, thus, quicker tests without hampering the services shall be availed.

The crisis in AI support arises because the emergency departments in the NHS are experiencing a shortage in the radiology staff, with 12.5% of radiologists and 15% of radiographers being underoperative. This leads to increased workload and diagnostic errors.

It will fill part of the gap by giving clinicians another pair of 'eyes' for the detection of fractures with accuracy. According to Mark Chapman, health technology director at NICE, these AI tools can increase rates of diagnosis and reduce the number of follow-up appointments for fractures that may be missed in the initial assessments.

NICE clearly states that AI will be a supportive assistant, not a replacement for the human skill and judgment, reducing the possibility of errors in the diagnosis. AI in health care is put to early cancer detection, heart attack risk assessment, and a prediction of pandemic.
AI-assisted fracture detection published by the institute is open for public consultation until 5 November as an attempt to fulfill the promise of the promise of technology against patient safety.