St. Jude Children's Research Hospital
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Artificial Intelligence Transforms the Future of Health Care
Nariman Noorbakhsh-Sabet, Ramin Zand, Yanfei Zhang et al.
2019 · 604 Zit.
Natural language processing with machine learning methods to analyze unstructured patient-reported outcomes derived from electronic health records: A systematic review
Jin-Ah Sim, Xiaolei Huang, Madeline R. Horan et al.
2023 · 64 Zit.
Recommendations for Performance Evaluation of Machine Learning in Pathology: A Concept Paper From the College of American Pathologists
Matthew G. Hanna, Niels Olson, Mark D. Zarella et al.
2023 · 24 Zit.
Artificial Intelligence for Neuroimaging in Pediatric Cancer
Josué Luiz Dalboni da Rocha, Jesyin Lai, Pankaj Pandey et al.
2025 · 21 Zit.
The Potential Application of Large Language Models in Pharmaceutical Supply Chain Management
David Aguero, Scott D. Nelson
2024 · 13 Zit.
ESMO basic requirements for AI-based biomarkers in oncology (EBAI)
Mihaela Aldea, Manuel Salto‐Tellez, Antonio Marra et al.
2025 · 9 Zit.
ESMO guidance on the use of Large Language Models in Clinical Practice (ELCAP)
Evelyn Wong, Loïc Verlingue, Mihaela Aldea et al.
2025 · 6 Zit.
Patient Preferences for Artificial Intelligence in Medical Imaging: A Single-Center Cross-Sectional Survey
Kennedye N McGhee, D. Jonah Barrett, Omar Safarini et al.
2025 · 5 Zit.
RadSearch, a Semantic Search Model for Accurate Radiology Report Retrieval with Large Language Model Integration
Cody Savage, Gunvant Chaudhari, Andrew D. Smith et al.
2025 · 4 Zit.
Best Practices for the Safe Use of Large Language Models and Other Generative AI in Radiology
Paul H. Yi, Hana L. Haver, Jean Jeudy et al.
2025 · 4 Zit.
A Scoping Review of Synthetic Data Generation by Language Models in Biomedical Research and Application: Data Utility and Quality Perspectives
Hanshu Rao, Weisi Liu, Haohan Wang et al.
2026 · 2 Zit.
Examining Imbalance Effects on Performance and Demographic Fairness of Clinical Language Models
Peter B. Jones, Weisi Liu, I‐Chan Huang et al.
2025 · 2 Zit.
OTHR-06. Knowledge gap among health care providers in childhood central nervous system tumors: Result from an international multicenter survey
Revathi Rajagopal, Daniel C. Moreira, Lane Faughnan et al.
2022 · 0 Zit.
Evaluation of six large language models for study identification in an obstetric systematic review
Shmuel Somer, Maia Vardy, Jonathan Eisenberger et al.
2026 · 0 Zit.
LINC-11. NEUROPATHOLOGY REVIEW OF LATIN AMERICAN CHILDHOOD AND ADOLESCENT BRAIN TUMOR PATIENTS: A MULTI-NATIONAL, MULTI-DISCIPLINARY PEDIATRIC NEURO-ONCOLOGY TELECONFERENCE EXPERIENCE
Diana S. Osorio, Christopher R. Pierson, Álvaro Lassaletta et al.
2020 · 0 Zit.