AI in medical physics: guidelines for publication

The 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 da...

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Veröffentlicht in:Medical physics (Lancaster) 2021-09, Vol.48 (9), p.4711-4714
Hauptverfasser: El Naqa, Issam, Boone, John M., Benedict, Stanley H., Goodsitt, Mitchell M., Chan, Heang‐Ping, Drukker, Karen, Hadjiiski, Lubomir, Ruan, Dan, Sahiner, Berkman
Format: Artikel
Sprache:eng
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Zusammenfassung:The 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.
ISSN:0094-2405
2473-4209
DOI:10.1002/mp.15170