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Sidney Kimmel Comprehensive Cancer Center

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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.