Artificial Intelligence in Radiation Oncology – Problems and Solutions Book Project

RadPhysics Services LLC is proud to be a contributor to Artificial Intelligence in Radiation Oncology. Published by World Scientific in January 2023, this book offers an array of AI scientific concepts, and AI technology tools with selected examples of current applications to serve as a one-stop resource for AI in radiation oncology. It brings together 30 renowned experts to contribute 16 chapters organized into six sections: Define the Future, Strategy, AI Tools, AI Applications, and Assessment and Outcomes. The future is defined from a clinical and a technical perspective and the strategy discusses lessons open access data to enhance the performance of AI tools. The AI tools include radiomics, segmentation, knowledge representation, and natural language processing. The AI applications discuss knowledge-based treatment planning and automation, AI-based treatment planning, prediction of radiotherapy toxicity, radiomics in cancer prognostication and treatment response, and the use of AI for mitigation of error propagation. The last section elucidates two critical issues in the clinical adoption: ethical issues and the evaluation of AI as a transformative technology.

Source: https://aic.dcarea.vt.edu/arlington-innovation-center0.html

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COMPARE & VALIDATE EXPECTATIONS

MERP helps facilitate a safety culture where greater attention is directed at confirming that detailed processes are performed correctly by referencing various standards, recommendations, and regulations.

MERP provides a methodology to measure performance against benchmark standards of practice.

DECREASE COSTS & INEFFICIENCIES

Radiation oncology is an exceedingly complicated system where accidents happen. Any single error, combination, and propagation of errors in radiation oncology can negatively impact patient outcomes.  An error reduction program helps institutions minimize risk to patients and health care workers.

MERP is a medical error reduction software program specifically designed to help minimize errors, improve performance, reduce cost, lessen liability, decrease regulatory infractions, and positively contribute to patient outcomes in the radiation oncology treatment delivery process. 

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Ineffective error management can lead to reduced quality, increased inefficiency, and increased legal and/or regulatory liabilities.

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