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AI in medical physics: guidelines for publication
Author(s) -
El Naqa Issam,
Boone John M.,
Benedict Stanley H.,
Goodsitt Mitchell M.,
Chan HeangPing,
Drukker Karen,
Hadjiiski Lubomir,
Ruan Dan,
Sahiner Berkman
Publication year - 2021
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1002/mp.15170
Subject(s) - novelty , statement (logic) , computer science , medical physics , medical physicist , algorithm , machine learning , data science , data mining , artificial intelligence , physics , philosophy , theology , political science , law
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.
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