The power of the radiologist's last word: can deep learning models accurately differentiate between high-grade gliomas and metastasis through natural language processing on radiology reports? | Eur Radiol;34(3): 2110-2112, 2024 Mar. | MEDLINE

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The power of the radiologist's last word: can deep learning models accurately differentiate between high-grade gliomas and metastasis through natural language processing on radiology reports?

Ye, Zezhong.

Affiliation

Ye Z; Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, USA. zye2@bwh.harvard.edu.

Eur Radiol ; 34(3): 2110-2112, 2024 Mar.

Article in En | MEDLINE | ID: mdl-37740088

Subject(s)

Deep Learning; Glioma; Radiology; Humans; Natural Language Processing; Glioma/diagnostic imaging; Radiologists

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Radiology / Deep Learning / Glioma Limits: Humans Language: En Journal: Eur Radiol Journal subject: RADIOLOGIA Year: 2024 Type: Article Affiliation country: United States

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Radiology / Deep Learning / Glioma Limits: Humans Language: En Journal: Eur Radiol Journal subject: RADIOLOGIA Year: 2024 Type: Article Affiliation country: United States