Huntsman Cancer Institute
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Using ChatGPT to evaluate cancer myths and misconceptions: artificial intelligence and cancer information
Skyler B. Johnson, Andy J. King, Echo L. Warner et al.
2023 · 287 Zit.
Enhancing Triage Efficiency and Accuracy in Emergency Rooms for Patients with Metastatic Prostate Cancer: A Retrospective Analysis of Artificial Intelligence-Assisted Triage Using ChatGPT 4.0
Georges Gebrael, Kamal Kant Sahu, Beverly Chigarira et al.
2023 · 82 Zit.
Patient Interactions With an Automated Conversational Agent Delivering Pretest Genetics Education: Descriptive Study
Daniel Chavez‐Yenter, Kadyn E. Kimball, Wendy Kohlmann et al.
2021 · 38 Zit.
External Validation of a Machine Learning Model to Predict 6-Month Mortality for Patients With Advanced Solid Tumors
George Chalkidis, Jordan P. McPherson, Anna C. Beck et al.
2023 · 17 Zit.
Automated Clinical Practice Guideline Recommendations for Hereditary Cancer Risk Using Chatbots and Ontologies: System Description
Jordon B. Ritchie, L. Frey, Jean-Baptiste Lamy et al.
2021 · 16 Zit.
Design of an interface to communicate artificial intelligence-based prognosis for patients with advanced solid tumors: a user-centered approach
Catherine J. Staes, Anna C. Beck, George Chalkidis et al.
2023 · 16 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.
External validation of an artificial intelligence model for Gleason grading of prostate cancer on prostatectomy specimens
Bogdana Schmidt, Simon John Christoph Soerensen, Hriday P. Bhambhvani et al.
2024 · 10 Zit.
Development of a Machine Learning Model Using Limited Features to Predict 6-Month Mortality at Treatment Decision Points for Patients With Advanced Solid Tumors
George Chalkidis, Jordan P. McPherson, Anna C. Beck et al.
2022 · 8 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.
Comparing Active Surveillance and Watchful Waiting With Radical Treatment Using Machine Learning Models Among Patients With Prostate Cancer
Siqi Hu, Chun-Pin E. Chang, John Snyder et al.
2023 · 4 Zit.
Bridging Technology and Pretest Genetic Services: Quantitative Study of Chatbot Interaction Patterns, User Characteristics, and Genetic Testing Decisions
Yang Yi, Lauren Kaiser‐Jackson, Jemar R. Bather et al.
2025 · 3 Zit.
Patient and Caregiver Perceptions of an Interface Design to Communicate Artificial Intelligence–Based Prognosis for Patients With Advanced Solid Tumors
Elizabeth A. Sloss, Jordan P. McPherson, Anna C. Beck et al.
2024 · 3 Zit.
Browser-based Data Annotation, Active Learning, and Real-Time Distribution of Artificial Intelligence Models: From Tumor Tissue Microarrays to COVID-19 Radiology
Praphulla Bhawsar, Mustapha Abubakar, Marjanka K. Schmidt et al.
2021 · 3 Zit.
Effectiveness of ChatGPT 4.0 in Telemedicine-Based Management of Metastatic Prostate Carcinoma
Emre Dal, Ayana Srivastava, Beverly Chigarira et al.
2024 · 3 Zit.