Sidney Kimmel Comprehensive Cancer Center
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Deep learning and radiomics in precision medicine
Vishwa S. Parekh, Michael A. Jacobs
2019 · 235 Zit.
Cancer Care in the Era of Artificial Intelligence
Matthew Kurian, Jacob J. Adashek, Howard West
2024 · 14 Zit.
The Limitations of Artificial Intelligence in Head and Neck Oncology
Karthik Rao, Verónica Fernández‐Álvarez, Orlando Guntinas‐Lichius et al.
2025 · 12 Zit.
Accelerating artificial intelligence: How federated learning can protect privacy, facilitate collaboration, and improve outcomes
Malhar Patel, Ittai Dayan, Elliot K. Fishman et al.
2023 · 11 Zit.
Radiologists' Expectations of Artificial Intelligence in Pancreatic Cancer Imaging: How Good Is Good Enough?
Linda C. Chu, Taha Ahmed, Alejandra Blanco et al.
2023 · 8 Zit.
Digital health and artificial intelligence innovations for oncology in sub-Saharan Africa
Farouk Dako, Fábio Ynoe de Moraes, Florence X. Doo et al.
2025 · 3 Zit.
Assessing Algorithmic Fairness With a Multimodal Artificial Intelligence Model in Men of African and Non-African Origin on NRG Oncology Prostate Cancer Phase III Trials
Mack Roach, Jingbin Zhang, Osama Mohamad et al.
2025 · 3 Zit.
Sentiment analysis of tweets on prior authorization.
Shivika Prasanna, Naveen Premnath, Suveen Angraal et al.
2021 · 2 Zit.
Graph feature selection for enhancing radiomic stability and reproducibility across multiple institutions in head and neck cancer
Hajar Moradmand, Jason K. Molitoris, Ling Xiao et al.
2025 · 1 Zit.
Development of a web-based application using machine learning algorithms to facilitate systematic literature reviews
HL Wong, Thomas Luechtefeld, Atiek Prawira et al.
2017 · 1 Zit.
Expanding the federated horizon: cross-domain techniques for collective intelligence
Vishwa S. Parekh, Pranav Kulkarni, Adway Kanhere et al.
2025 · 0 Zit.
Evaluating large language models in real-world hematologic clinical decision-making: Performance, limitations, and clinical implications
David M. Swoboda, Amy E. DeZern, James T. England et al.
2025 · 0 Zit.
Artificial intelligence‑driven virtual tumor board enhances precision care in myelodysplastic syndromes (MDS)
David M. Swoboda, Amy E. DeZern, James T. England et al.
2025 · 0 Zit.
Artificial intelligence-based diagnosis of myelodysplastic syndromes/neoplasms using bone marrow
Palak Dave, Ling Zhang, Joseph E. Pierce et al.
2025 · 0 Zit.
Artificial intelligence (AI) as a decision support tool for practicing oncologists.
Mohammad Jahanzeb, Kayla Haines, David Ross Camidge et al.
2025 · 0 Zit.