Integrating Radiology into an AI System for Physician Decision Making

  •  Venkata A. Paruchuri    
  •  Bobby C. Granville    


Over time, physicians gather a vast amount of data such as radiographic images, medical procedures, treatments, and insurance coverage about the patients. A Case-Based Reasoning (CBR) system is developed to organize and retrieve such data to aid physicians in making a diagnosis and formulating a treatment plan for patients with similar traits. This research is an extension of the earlier work presented by the authors. Our earlier research did not consider radiographic images, although radiology plays a vital role in diagnosing and treating patients. Currently, a new algorithm is created to retrieve and organize information from the CBR system to add radiographic images to the patient’s case data. This system is tested and the performance results prove that the acceptance rate achieved by this system is higher than that of the earlier system.

This work is licensed under a Creative Commons Attribution 4.0 License.
  • ISSN(Print): 1913-8989
  • ISSN(Online): 1913-8997
  • Started: 2008
  • Frequency: quarterly

Journal Metrics

WJCI (2021): 0.557

Impact Factor 2021 (by WJCI):  0.304

h-index (December 2022): 40

i10-index (December 2022): 179

h5-index (December 2022): N/A

h5-median(December 2022): N/A

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