Automatic Forecasting of Radiology Examination Volume Trends for Optimal Resource Planning and Allocation.

Becker, Anton S; Erinjeri, Joseph P; Chaim, Joshua; Kastango, Nicholas; Elnajjar, Pierre; Hricak, Hedvig; Vargas, H Alberto

Becker, Anton S; Erinjeri, Joseph P; Chaim, Joshua; Kastango, Nicholas; Elnajjar, Pierre; Hricak, Hedvig; Vargas, H Alberto.

Affiliation

Becker AS; Department of Radiology, Body Imaging Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA. beckera1@mskcc.org.
Erinjeri JP; Department of Radiology, Interventional Radiology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Chaim J; Department of Radiology, Body Imaging Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Kastango N; Department of Strategy and Innovation, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Elnajjar P; Department of Radiology, Informatics Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Hricak H; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Vargas HA; Department of Radiology, Body Imaging Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

J Digit Imaging ; 35(1): 1-8, 2022 02.

Article in En | MEDLINE | ID: mdl-34755249

Subject(s)

Fulltext

Add to My VHL

XML

PubMed Links

Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Radiology / Artificial Intelligence Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: J Digit Imaging Journal subject: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA / RADIOLOGIA Year: 2022 Document type: Article Affiliation country: Estados Unidos Country of publication: Estados Unidos

Fulltext

Add to My VHL

XML

PubMed Links

Search on Google