Artificial-intelligence-driven measurements of brain metastases' response to SRS compare favorably with current manual standards of assessment.
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| Title: | Artificial-intelligence-driven measurements of brain metastases' response to SRS compare favorably with current manual standards of assessment. |
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| Authors: | Prezelski K; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.; Saint Louis University School of Medicine, St. Louis, Missouri, USA., Hsu DG; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York, USA., Del Balzo L; Medical College of Georgia, Athens, Georgia, USA.; Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, USA., Heller E; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York, USA., Ma J; Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, USA., Pike LRG; Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.; Biomarker Development Program, Memorial Sloan Kettering Cancer Center, New York, New York, USA., Ballangrud Å; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York, USA., Aristophanous M; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York, USA. |
| Source: | Neuro-oncology advances [Neurooncol Adv] 2024 Feb 19; Vol. 6 (1), pp. vdae015. Date of Electronic Publication: 2024 Feb 19 (Print Publication: 2024). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 101755003 Publication Model: eCollection Cited Medium: Internet ISSN: 2632-2498 (Electronic) Linking ISSN: 26322498 NLM ISO Abbreviation: Neurooncol Adv Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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