AI in medical physics: guidelines for publication

Issam El Naqa, John M. Boone, Stanley H. Benedict, Mitchell M. Goodsitt, Heang Ping Chan, Karen Drukker, Lubomir Hadjiiski, Dan Ruan, Berkman Sahiner

Research output: Contribution to journalEditorialpeer-review

Abstract

The Abstract is intended to provide a concise summary of the study and its scientific findings. For AI/ML applications in medical physics, a problem statement and rationale for utilizing these algorithms are necessary while highlighting the novelty of the approach. A brief numerical description of how the data are partitioned into subsets for training of the AI/ML algorithm, validation (including tuning of parameters), and independent testing of algorithm performance is required. This is to be followed by a summary of the results and statistical metrics that quantify the performance of the AI/ML algorithm.

Original languageEnglish (US)
Pages (from-to)4711-4714
Number of pages4
JournalMedical Physics
Volume48
Issue number9
DOIs
StatePublished - Sep 2021

ASJC Scopus subject areas

  • Biophysics
  • Radiology Nuclear Medicine and imaging

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