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Risk prediction of pancreatic cancer using AI analysis of pancreatic subregions in computed tomography images.
Javed, Sehrish; Qureshi, Touseef Ahmad; Gaddam, Srinivas; Wang, Lixia; Azab, Linda; Wachsman, Ashley Max; Chen, Wansu; Asadpour, Vahid; Jeon, Christie Younghae; Wu, Beichien; Xie, Yibin; Pandol, Stephen Jacob; Li, Debiao.
Afiliación
  • Javed S; Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States.
  • Qureshi TA; Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States.
  • Gaddam S; Gastroenterology, Cedars-Sinai Medical Center, Los Angeles, CA, United States.
  • Wang L; Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States.
  • Azab L; Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States.
  • Wachsman AM; Department of Radiology, Cedars-Sinai Medical Center, Los Angeles, CA, United States.
  • Chen W; Department of Research and Evaluation, Southern California Kaiser Permanente Medical Center, Los Angeles, CA, United States.
  • Asadpour V; Department of Research and Evaluation, Southern California Kaiser Permanente Medical Center, Los Angeles, CA, United States.
  • Jeon CY; Division of Hematology, Cedars-Sinai Medical Center, Los Angeles, CA, United States.
  • Wu B; Division of Oncology, Cedars-Sinai Medical Center, Los Angeles, CA, United States.
  • Xie Y; Department of Research and Evaluation, Southern California Kaiser Permanente Medical Center, Los Angeles, CA, United States.
  • Pandol SJ; Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States.
  • Li D; Gastroenterology, Cedars-Sinai Medical Center, Los Angeles, CA, United States.
Front Oncol ; 12: 1007990, 2022.
Article en En | MEDLINE | ID: mdl-36439445
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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Idioma: En Revista: Front Oncol Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Idioma: En Revista: Front Oncol Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos