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Related Experiment Video

Updated: Jan 15, 2026

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant
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Technological Model to Optimize the Request for Radiological Studies.

Juan D Vásquez1, Carlos A Galeano Baquero2, David González3

  • 1Radiology, Clínica SOMER (Sociedad Médica Rionegro SA), Rionegro, COL.

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|October 14, 2025
PubMed
Summary
This summary is machine-generated.

A new diagnostic algorithm can help reduce inappropriate imaging requests, improving diagnostic accuracy and patient care. Healthcare professionals found it useful for decision-making, though some improvements are needed for broader application.

Keywords:
abdominal painalgorithmdecision-makinge-learningexam requestsquality of care

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Area of Science:

  • Medical Imaging
  • Clinical Decision Support Systems

Background:

  • Inappropriate imaging requests cause diagnostic errors, increased costs, and patient dissatisfaction.
  • Lack of guideline dissemination and physician training contribute to these issues, leading to delayed diagnoses and resource inefficiency.

Purpose of the Study:

  • To evaluate a diagnostic algorithm designed to assist physicians in selecting appropriate imaging studies.
  • To assess the perceived clinical utility, clarity, and workflow integration of the algorithm.

Main Methods:

  • A cross-sectional survey was conducted with 111 participants (physicians, residents, interns, medical students, dental professionals).
  • The survey explored perceptions of the diagnostic algorithm's effectiveness and usability.

Main Results:

  • Participants recognized the algorithm's potential to enhance diagnostic accuracy and expedite decision-making.
  • Strengths included applicability to abdominal emergencies and complex cases; challenges involved contrast safety and personalized application.

Conclusions:

  • The diagnostic algorithm is a valuable tool for reducing inappropriate imaging requests and improving diagnostic confidence.
  • Further development is needed to address limitations and ensure broader applicability in clinical practice.