AI to Assist Doctors in Identifying Fractures on X-rays
Artificial intelligence (AI) could significantly reduce the number of missed fractures when doctors analyze X-rays, according to the National Institute for Health and Care Excellence (NICE). Research suggests that AI is not only safe but also speeds up diagnoses. As a result, it can relieve the pressure on medical professionals while lowering the need for follow-up visits.
AI Tools for Urgent Care
NICE plans to recommend four AI tools for urgent care settings across England. Nevertheless, every X-ray will still be reviewed by a healthcare professional, ensuring accuracy and patient safety. Therefore, AI will work alongside doctors, complementing their expertise.
Reducing Errors and Addressing Staff Shortages
Missed fractures occur in 3-10% of cases in emergency departments, making it the most common diagnostic error. Furthermore, a shortage of radiologists and radiographers adds to this challenge. Vacancy rates are currently 12.5% for radiologists and 15% for radiographers. Consequently, NICE believes AI can help ease the workload and improve diagnostic accuracy.
Fewer Missed Diagnoses and Follow-up Appointments
Mark Chapman, director of health technology at NICE, highlighted that AI can make the job easier for doctors. Specifically, it helps spot fractures they might miss under pressure. By catching fractures earlier, AI reduces the need for follow-up appointments. Importantly, a radiologist will still review each X-ray, ensuring no incorrect diagnoses or unnecessary referrals occur.
Growing Role of AI in Healthcare
AI is already being used in various areas of healthcare. For instance, it helps detect early signs of breast cancer, predicts heart attack risks, and forecasts potential pandemics. Moreover, NICE is currently consulting on AI for X-ray analysis, with the consultation ending on 5 November.
