首页|Department of Orthopaedic Surgery and Traumatology Reports Findings in Artificia l Intelligence (The potential benefit of artificial intelligence regarding clini cal decision-making in the treatment of wrist trauma patients)
Department of Orthopaedic Surgery and Traumatology Reports Findings in Artificia l Intelligence (The potential benefit of artificial intelligence regarding clini cal decision-making in the treatment of wrist trauma patients)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Artificial Intelligenc e is the subject of a report. According to news originating from Bruderholz, Swi tzerland, by NewsRx correspondents, research stated, "The implementation of arti ficial intelligence (AI) in health care is gaining popularity. Many publications describe powerful AI-enabled algorithms." Financial support for this research came from University of Basel. Our news journalists obtained a quote from the research from the Department of O rthopaedic Surgery and Traumatology, "Yet there's only scarce evidence for measu rable value in terms of patient outcomes, clinical decision-making or socio-econ omic impact. Our aim was to investigate the significance of AI in the emergency treatment of wrist trauma patients. Two groups of physicians were confronted wit h twenty realistic cases of wrist trauma patients and had to find the correct di agnosis and provide a treatment recommendation. One group was assisted by an AI- enabled application which detects and localizes distal radius fractures (DRF) wi th near-to-perfect precision while the other group had no help. Primary outcome measurement was diagnostic accuracy. Secondary outcome measurements were require d time, number of added CT scans and senior consultations, correctness of the tr eatment, subjective and objective stress levels. The AI-supported group was able to make a diagnosis without support (no additional CT, no senior consultation) in significantly more of the cases than the control group (75% vs. 52%, p = 0.003). The AI-enhanced group detected DRF with superior sensitivity (1.00 vs. 0.96, p = 0.06) and specificity (0.99 vs. 0.93, p = 0.17), used significantly less additional CT scans to reach the correct diagnosis (14% vs. 28%, p = 0.02) and was subjectively significantly less stressed (p = 0.05). The results indicate that physicians can diagnose wrist trauma more accurately and faster when aided by an AI-tool that lessens the need for extra diagnostic procedures. The AI-tool also seems to lower physicians' stress levels while examining cases."
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