Center for Cancer Research

Applications of large language models in cancer care: current evidence and future perspectives

Giovanni Maria Iannantuono, Dara Bracken‐Clarke, Charalampos S. Floudas et al.

2023 · 106 Zit.

Outpatient reception via collaboration between nurses and a large language model: a randomized controlled trial

Peixing Wan, Zigeng Huang, Wenjun Tang et al.

2024 · 67 Zit.

Augmented Radiologist Workflow Improves Report Value and Saves Time: A Potential Model for Implementation of Artificial Intelligence

Huy M., Lillian G. Spear, Moozhan Nikpanah et al.

2019 · 65 Zit.

Matching Patients to Clinical Trials with Large Language Models

Qiao Jin, Zifeng Wang, Charalampos S. Floudas et al.

2023 · 42 Zit.

Comparison of Large Language Models in Answering Immuno-Oncology Questions: A Cross-Sectional Study

Giovanni Maria Iannantuono, Dara Bracken‐Clarke, Fatima Karzai et al.

2024 · 36 Zit.

An Assessment of Imaging Informatics for Precision Medicine in Cancer

Chakra Chennubhotla, L. Clarke, Andriy Fedorov et al.

2017 · 23 Zit.

Utility of Large Language Models for Health Care Professionals and Patients in Navigating Hematopoietic Stem Cell Transplantation: Comparison of the Performance of ChatGPT-3.5, ChatGPT-4, and Bard

Elisabetta Xue, Dara Bracken‐Clarke, Giovanni Maria Iannantuono et al.

2024 · 22 Zit.

ENABLE (Exportable Notation and Bookmark List Engine): an Interface to Manage Tumor Measurement Data from PACS to Cancer Databases

Nikhil Goyal, Andrea B. Apolo, Eliana D. Berman et al.

2017 · 10 Zit.

Comparison of Large Language Models in Answering Immuno-Oncology Questions: A Cross-Sectional Study

Giovanni Maria Iannantuono, Dara Bracken‐Clarke, Fatima Karzai et al.

2023 · 9 Zit.

Proceedings from the Society of Interventional Radiology Foundation Research Consensus Panel on Artificial Intelligence in Interventional Radiology: From Code to Bedside

Julius Chapiro, Bibb Allen, Aaron Abajian et al.

2022 · 9 Zit.

An Assessment of Imaging Informatics for Precision Medicine in Cancer

C. Chennubhotla, L. P. Clarke, A. Fedorov et al.

2017 · 5 Zit.

Not without Context—A Multiple Methods Study on Evaluation and Correction of Automated Brain Tumor Segmentations by Experts

Katharina Hoebel, Christopher P. Bridge, Albert Kim et al.

2023 · 4 Zit.

Natural Language Processing – Finding the Missing Link for Oncologic Data, 2022

Andra Krauze, Kevin Camphausen

2022 · 2 Zit.

From general to specific: Tailoring large language models for real‐world medical communications

Xinti Sun, Wenjun Tang, Zigeng Huang et al.

2024 · 2 Zit.

From manual clinical criteria to machine learning algorithms: Comparing outcome endpoints derived from diverse electronic health record data modalities

Shreya Chappidi, Mason J. Belue, Stephanie A. Harmon et al.

2025 · 1 Zit.