Cook H M, Fox M D
University of Connecticut, School of Engineering, Storrs 06268.
Am J Physiol Imaging. 1989;4(1):16-22.
A prototype expert system was designed for differentiation of 16 circumscribed breast abnormalities utilizing findings identified by a human observer from X-ray mammograms, clinical data, and patient history. An off-the-shelf expert system shell served as the foundation for the rule base. The system runs on standard microcomputer hardware. Preliminary results suggest the expert system may be valuable in improving the ability of relatively unskilled observers to screen X-ray mammograms. Overall, radiology residents with limited experience in mammographic image analysis obtained a diagnostic accuracy level of 40% on their own, whereas they attained 73% accuracy level when using the expert system. A group of biomedical engineering students with no prior experience in mammographic image analysis obtained on the average an 80% diagnostic accuracy level utilizing the expert system in comparison with the 70% average accuracy level obtained by practicing radiologists without use of the system.
设计了一个原型专家系统，用于鉴别16种乳腺局限性异常，该系统利用人类观察者从乳腺X线摄影、临床数据和患者病史中识别出的结果。一个现成的专家系统外壳作为规则库的基础。该系统在标准微机硬件上运行。初步结果表明，该专家系统可能有助于提高技术不太熟练的观察者筛查乳腺X线摄影的能力。总体而言，在乳腺钼靶图像分析方面经验有限的放射科住院医师独立诊断准确率为40%，而使用专家系统时准确率达到73%。一组此前没有乳腺钼靶图像分析经验的生物医学工程专业学生，使用该专家系统平均诊断准确率达到80%，而有经验的放射科医生不使用该系统时平均准确率为70%。
