Oak Ridge National Laboratory
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
The need for uncertainty quantification in machine-assisted medical decision making
Edmon Begoli, Tanmoy Bhattacharya, Dimitri Kusnezov
2018 · 480 Zit.
Health intelligence: how artificial intelligence transforms population and personalized health
Arash Shaban‐Nejad, Martin Michalowski, David L. Buckeridge
2018 · 247 Zit.
AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer‐aided diagnosis in medical imaging
Lubomir M. Hadjiiski, H. Kenny, Heang‐Ping Chan et al.
2022 · 85 Zit.
Predicting diagnostic error in radiology via eye‐tracking and image analytics: Preliminary investigation in mammography
Sophie Voisin, Frank Pinto, Garnetta Morin‐Ducote et al.
2013 · 50 Zit.
Improving Deep Reinforcement Learning With Transitional Variational Autoencoders: A Healthcare Application
Matt Baucum, Anahita Khojandi, Rama K. Vasudevan
2020 · 42 Zit.
Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing
Usman Mahmood, Amita Shukla‐Dave, Heang‐Ping Chan et al.
2024 · 31 Zit.
Synergizing human expertise and AI efficiency with language model for microscopy operation and automated experiment design <sup>*</sup>
Yongtao Liu, Martí Checa, Rama K. Vasudevan
2024 · 20 Zit.
AI and machine learning in medical imaging: key points from development to translation
Ravi K. Samala, Karen Drukker, Amita Shukla‐Dave et al.
2024 · 20 Zit.
Bias in Reinforcement Learning: A Review in Healthcare Applications
Benjamin Smith, Anahita Khojandi, Rama K. Vasudevan
2023 · 18 Zit.
Optimal vocabulary selection approaches for privacy-preserving deep NLP model training for information extraction and cancer epidemiology
Hong‐Jun Yoon, Christopher B. Stanley, J. Blair Christian et al.
2022 · 14 Zit.
Path-BigBird: An AI-Driven Transformer Approach to Classification of Cancer Pathology Reports
Mayanka Chandrashekar, Isaac Lyngaas, Heidi A. Hanson et al.
2024 · 12 Zit.
chatHPC: Empowering HPC users with large language models
Junqi Yin, Jesse Hines, Emily Herron et al.
2024 · 11 Zit.
Multimodal Artificial Intelligence: Next Wave of Innovation in Healthcare and Medicine
Arash Shaban‐Nejad, Martin Michalowski, Simone Bianco
2022 · 10 Zit.
Correction for Vangay et al., “Microbiome Metadata Standards: Report of the National Microbiome Data Collaborative’s Workshop and Follow-On Activities”
Pajau Vangay, Josephine Burgin, Anjanette Johnston et al.
2021 · 7 Zit.
Optimal vocabulary selection approaches for privacy-preserving deep NLP model training for information extraction and cancer epidemiology.
Hong‐Jun Yoon, Christopher B. Stanley, J. Blair Christian et al.
2022 · 7 Zit.