AI医疗工具未能可靠地解释患者数据,引发安全关切,要求更严格的监督。 An AI medical tool failed to reliably interpret patient data, sparking safety concerns and calls for stricter oversight.

旨在协助医疗诊断和治疗的AI系统在现实世界病人护理方面已显示出严重的局限性,引起了人们对其可靠性和安全性的担忧。 An AI system designed to assist in medical diagnosis and treatment has shown significant limitations in real-world patient care, raising concerns about its reliability and safety. 尽管人工智能有所进步,但该工具未能始终如一地解释复杂的医疗数据,导致建议不准确,并给病人带来潜在风险。 Despite advancements in artificial intelligence, the tool has failed to consistently interpret complex medical data, leading to inaccurate recommendations and potential risks for patients. 专家强调人工智能不应取代人类医生, Experts emphasize that AI should not replace human doctors, especially in critical decision-making. 调查结果突出表明,在临床环境中使用AI之前,需要进行更严格的监督和更严格的测试。 The findings highlight the need for stricter oversight and more rigorous testing before AI is used in clinical settings.