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Kenneth L Kehl

Showing results (31-40 of 75) with videos related to

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JAMA Network Open|April 28, 2023
Practice-Level Variation in Molecular Testing and Use of Targeted Therapy for Patients With Non-Small Cell Lung Cancer and Colorectal CancerThomas J Roberts, Kenneth L Kehl, Gabriel A Brooks, et al.
JAMA Oncology|July 17, 2015
Association of Actual and Preferred Decision Roles With Patient-Reported Quality of Care: Shared Decision Making in Cancer CareKenneth L Kehl, Mary Beth Landrum, Neeraj K Arora, et al.
JCO Clinical Cancer Informatics|August 7, 2020
Natural Language Processing to Ascertain Cancer Outcomes From Medical Oncologist NotesKenneth L Kehl, Wenxin Xu, Eva Lepisto, et al.
BMC Bioinformatics|September 1, 2023
Empirical evaluation of language modeling to ascertain cancer outcomes from clinical text reportsHaitham A Elmarakeby, Pavel S Trukhanov, Vidal M Arroyo, et al.
JAMA Oncology|July 26, 2019
Assessment of Deep Natural Language Processing in Ascertaining Oncologic Outcomes From Radiology ReportsKenneth L Kehl, Haitham Elmarakeby, Mizuki Nishino, et al.
Nature Medicine|August 7, 2023
Machine learning for genetics-based classification and treatment response prediction in cancer of unknown primaryIntae Moon, Jaclyn LoPiccolo, Sylvan C Baca, et al.
Nature Medicine|November 15, 2023
Publisher Correction: Machine learning for genetics-based classification and treatment response prediction in cancer of unknown primaryIntae Moon, Jaclyn LoPiccolo, Sylvan C Baca, et al.
Research Square|January 30, 2023
Utilizing Electronic Health Records (EHR) and Tumor Panel Sequencing to Demystify Prognosis of Cancer of Unknown Primary (CUP) patientsIntae Moon, Jaclyn LoPiccolo, Sylvan C Baca, et al.
JCO Clinical Cancer Informatics|June 7, 2021
Clinical Inflection Point Detection on the Basis of EHR Data to Identify Clinical Trial-Ready Patients With CancerKenneth L Kehl, Stefan Groha, Eva M Lepisto, et al.
Nature Communications|December 16, 2021
Artificial intelligence-aided clinical annotation of a large multi-cancer genomic datasetKenneth L Kehl, Wenxin Xu, Alexander Gusev, et al.
Pageof 8

Showing results (31-40 of 75) with videos related to

Sort By:
Pageof 8
JAMA Network Open|April 28, 2023
Practice-Level Variation in Molecular Testing and Use of Targeted Therapy for Patients With Non-Small Cell Lung Cancer and Colorectal CancerThomas J Roberts, Kenneth L Kehl, Gabriel A Brooks, et al.
JAMA Oncology|July 17, 2015
Association of Actual and Preferred Decision Roles With Patient-Reported Quality of Care: Shared Decision Making in Cancer CareKenneth L Kehl, Mary Beth Landrum, Neeraj K Arora, et al.
JCO Clinical Cancer Informatics|August 7, 2020
Natural Language Processing to Ascertain Cancer Outcomes From Medical Oncologist NotesKenneth L Kehl, Wenxin Xu, Eva Lepisto, et al.
BMC Bioinformatics|September 1, 2023
Empirical evaluation of language modeling to ascertain cancer outcomes from clinical text reportsHaitham A Elmarakeby, Pavel S Trukhanov, Vidal M Arroyo, et al.
JAMA Oncology|July 26, 2019
Assessment of Deep Natural Language Processing in Ascertaining Oncologic Outcomes From Radiology ReportsKenneth L Kehl, Haitham Elmarakeby, Mizuki Nishino, et al.
Nature Medicine|August 7, 2023
Machine learning for genetics-based classification and treatment response prediction in cancer of unknown primaryIntae Moon, Jaclyn LoPiccolo, Sylvan C Baca, et al.
Nature Medicine|November 15, 2023
Publisher Correction: Machine learning for genetics-based classification and treatment response prediction in cancer of unknown primaryIntae Moon, Jaclyn LoPiccolo, Sylvan C Baca, et al.
Research Square|January 30, 2023
Utilizing Electronic Health Records (EHR) and Tumor Panel Sequencing to Demystify Prognosis of Cancer of Unknown Primary (CUP) patientsIntae Moon, Jaclyn LoPiccolo, Sylvan C Baca, et al.
JCO Clinical Cancer Informatics|June 7, 2021
Clinical Inflection Point Detection on the Basis of EHR Data to Identify Clinical Trial-Ready Patients With CancerKenneth L Kehl, Stefan Groha, Eva M Lepisto, et al.
Nature Communications|December 16, 2021
Artificial intelligence-aided clinical annotation of a large multi-cancer genomic datasetKenneth L Kehl, Wenxin Xu, Alexander Gusev, et al.
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