Fox Chase Cancer Center

Characteristics of clinical trials that require participants to be fluent in English

Brian L. Egleston, Omar Pedraza, Yu‐Ning Wong et al.

2015 · 40 Zit.

Computer-Generated R.E.N.A.L. Nephrometry Scores Yield Comparable Predictive Results to Those of Human-Expert Scores in Predicting Oncologic and Perioperative Outcomes

Nicholas Heller, Resha Tejpaul, Fabian Isensee et al.

2021 · 19 Zit.

Kidney cancer management 3.0: can artificial intelligence make us better?

Matthew Lee, Shuanzeng Wei, Jordan Anaokar et al.

2021 · 15 Zit.

Bard Versus the 2022 American Society of Plastic Surgeons In-Service Examination: Performance on the Examination in Its Intern Year

Daniel Najafali, Erik Reiche, Sthefano Araya et al.

2023 · 9 Zit.

A Novel Artificial Intelligence Platform to Automate Clinical Consultation Notes and Enhance Diagnostic Efficiency in the Outpatient Clinic: Proposal of a Protocol for a Multi-Center, Multi-Disciplinary, Prospective Randomized Controlled Trial

Karanvir Gill, Giovanni Cacciamani, Jamal Nabhani et al.

2023 · 5 Zit.

Artificial Intelligence Augmentation: Performance of GPT-4 and GPT-3.5 on the Plastic Surgery In-service Examination

Daniel Najafali, Erik Reiche, Sthefano Araya et al.

2025 · 4 Zit.

Editorial Comment on “A Fully Automated Artificial Intelligence-Based Approach to Predict Renal Function after Radical or Partial Nephrectomy”

Laura Davis, Michael Lesgart, Austin Thompson et al.

2025 · 0 Zit.

Faculty Opinions recommendation of Prospective Comparison of Medical Oncologists and a Machine Learning Model to Predict 3-Month Mortality in Patients With Metastatic Solid Tumors.

Marcin Chwistek

2022 · 0 Zit.