AI-Augmented Clinical Decision Support in a Patient-Centric Precision Oncology Registry-Reference-Cited by-同舟云学术

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AI-Augmented Clinical Decision Support in a Patient-Centric Precision Oncology Registry

Published:2023-10-17 Issue: Volume: Page:27-37
ISSN:2993-091X
Container-title:AI in Precision Oncology
language:en
Short-container-title:AI in Precision Oncology

Author:

Shapiro Mark A.¹,Stuhlmiller Timothy J.¹^ORCID,Wasserman Asher¹,Kramer Glenn A.¹,Federowicz Bryan¹,Hoos William²,Kaufman Zachary¹,Chuyka Donald¹,Mahoney William¹,Newton Mika E.¹^ORCID,Osking Zachary¹,Wong Kenny K.¹,Kesari Santosh³,Shrager Jeff⁴

Affiliation:

1. xCures, Inc., Oakland, California, USA.

2. Rare Cancer Research Foundation, Durham, North Carolina, USA.

3. Saint John's Cancer Institute and Pacific Neuroscience Institute at Providence St. John's Health Center, Santa Monica, California, USA.

4. Stanford University, Palo Alto, California, USA.

Publisher

Mary Ann Liebert Inc

Link

https://www.liebertpub.com/doi/pdf/10.1089/aipo.2023.0001

Reference9 articles.

1. Changes in Length and Complexity of Clinical Practice Guidelines in Oncology, 1996-2019

2. Inter-rater reliability in performance status assessment between clinicians and patients: a systematic review and meta-analysis

3. Accuracy of an Artificial Intelligence System for Cancer Clinical Trial Eligibility Screening: Retrospective Pilot Study

4. Is Cancer Solvable? Towards Efficient and Ethical Biomedical Science

5. Targeted Therapy Database (TTD): A Model to Match Patient's Molecular Profile with Current Knowledge on Cancer Biology

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