Machine learning to predict environmental dose rates from a radionuclide therapy service - a proof of concept study.

Meades, Richard; Page, Joanne; Ross, James C; McCool, Daniel

Meades, Richard; Page, Joanne; Ross, James C; McCool, Daniel.

Affiliation

Meades R; The Nuclear Medicine Department, The Royal Free Hospital London NHS Foundation Trust, United Kingdom.
Page J; The Nuclear Medicine Department, The Royal Free Hospital London NHS Foundation Trust, United Kingdom.
Ross JC; The Nuclear Medicine Department, The Royal Free Hospital London NHS Foundation Trust, United Kingdom.
McCool D; The Nuclear Medicine Department, The Royal Free Hospital London NHS Foundation Trust, United Kingdom.

J Radiol Prot ; 43(3)2023 07 07.

Article in En | MEDLINE | ID: mdl-37369176

Subject(s)

Machine Learning; Wastewater; Humans; Proof of Concept Study; Retrospective Studies; Prospective Studies; Radioisotopes/therapeutic use

Key words

artificial intelligence; environmental monitoring; legislative compliance; machine learning; radiation protection; radionuclide therapy

Fulltext

XML

PubMed Links

Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Wastewater / Machine Learning Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: J Radiol Prot Journal subject: RADIOLOGIA Year: 2023 Type: Article Affiliation country: United kingdom

Fulltext

XML

PubMed Links

Search on Google