Publication | Open Access
AI in medical physics: guidelines for publication
41
Citations
8
References
2021
Year
Artificial IntelligenceEngineeringMachine LearningIntelligent DiagnosticsMultidisciplinary AiIntelligent SystemsComputational MedicineBiomedical Artificial IntelligenceData ScienceMedical Expert SystemBiostatisticsAi HealthcarePublic HealthRadiologyMedical PhysicsMedical ImagingMedical Image ComputingBiomedical ComputingAlgorithm PerformanceAi/ml AlgorithmMedicineHealth Informatics
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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