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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
Published on: July 11, 2025
The key image and case log application: new radiology software for teaching file creation and case logging that
Steven P Rowe1, Adeel Siddiqui2, David Bonekamp1
1The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Medical Institutions, 600 N. Wolfe St., Park building, 3rd floor, Room 367, Baltimore, MD 21287.
Rationale And Objectives:
To create novel radiology key image software that is easy to use for novice users, incorporates elements adapted from social networking Web sites, facilitates resident and fellow education, and can serve as the engine for departmental sharing of interesting cases and follow-up studies.
Materials And Methods:
Using open-source programming languages and software, radiology key image software (the key image and case log application, KICLA) was developed. This system uses a lightweight interface with the institutional picture archiving and communications systems and enables the storage of key images, image series, and cine clips. It was designed to operate with minimal disruption to the radiologists' daily workflow. Many features of the user interface have been inspired by social networking Web sites, including image organization into private or public folders, flexible sharing with other users, and integration of departmental teaching files into the system. We also review the performance, usage, and acceptance of this novel system.
Results:
KICLA was implemented at our institution and achieved widespread popularity among radiologists. A large number of key images have been transmitted to the system since it became available. After this early experience period, the most commonly encountered radiologic modalities are represented. A survey distributed to users revealed that most of the respondents found the system easy to use (89%) and fast at allowing them to record interesting cases (100%). Hundred percent of respondents also stated that they would recommend a system such as KICLA to their colleagues.
Conclusions:
The system described herein represents a significant upgrade to the Digital Imaging and Communications in Medicine teaching file paradigm with efforts made to maximize its ease of use and inclusion of characteristics inspired by social networking Web sites that allow the system additional functionality such as individual case logging.
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