Waxman H S, Worley W E
Department of Medicine, Albert Einstein Medical Center, Philadelphia, PA 19141.
Medicine (Baltimore). 1990 May;69(3):125-36.
Three decades after the conceptual foundation was laid for computer-aided diagnosis, some of its potential has been realized. Systems based on probabilistic reasoning have been developed and applied within limited domains (e.g., acute abdominal pain) and for the general diagnosis of systemic disorders. Less progress has been made in the development and application of diagnostic systems based on "artificial intelligence", reflecting theoretical limits to this application of computers to medicine and the enormity of the task. The presently available probabilistic systems have recently been joined by a new microcomputer-based system, MEDITEL Computer-Assisted Diagnosis, Adult System. The performance of this system was evaluated with both clinical-pathologic conference cases and consecutive admissions with undiagnosed illnesses. The correct diagnosis appeared on the list generated by the system in 80 to 90% of the cases. Experience with this and other systems illustrates current issues in the evaluation of computer systems for aid in diagnosis and of computer-based medical "expert" systems in general. These issues include physician acceptance of these systems and the ethical, legal, and regulatory aspects of computer system application. We conclude that, in appropriately selected cases, the accuracy and efficiency of physician diagnosis can be enhanced with computer assistance, and the risk of overlooking the correct diagnosis can be reduced.
在为计算机辅助诊断奠定概念基础三十年后,其部分潜力已得到实现。基于概率推理的系统已被开发出来,并在有限的领域(如急性腹痛)以及用于全身疾病的一般诊断中得到应用。基于“人工智能”的诊断系统在开发和应用方面进展较小,这反映了计算机在医学应用中的理论局限性以及任务的艰巨性。最近,一种新的基于微型计算机的系统——MEDITEL计算机辅助诊断成人系统,加入了现有的概率系统行列。该系统的性能通过临床病理讨论会病例以及连续收治的未确诊疾病患者进行了评估。在80%至90%的病例中,系统生成的列表上出现了正确诊断。对该系统及其他系统的使用经验说明了当前在评估用于辅助诊断的计算机系统以及一般基于计算机的医学“专家”系统时存在的问题。这些问题包括医生对这些系统的接受程度以及计算机系统应用的伦理、法律和监管方面。我们得出结论,在适当选择的病例中,计算机辅助可以提高医生诊断的准确性和效率,并降低漏诊正确诊断的风险。