Howard, Frederick M.

Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers

Gao, C. A., Howard, F. M., Markov, N. S., Dyer, E. C., Ramesh, S., Luo, Y., & Pearson, A. T. (2023) · npj Digital Medicine

Academic integrity and plagiarismAcademic Writing and Publishing

Cited by 1,099

Comparing scientific abstracts generated by ChatGPT to original abstracts using an artificial intelligence output detector, plagiarism detector, and blinded human reviewers

Gao, C. A., Howard, F. M., Markov, N. S., Dyer, E. C., Ramesh, S., Luo, Y., & Pearson, A. T. (2022) · npj Digital Medicine

Academic integrity and plagiarismAcademic Writing and Publishing

Cited by 1,099

The impact of site-specific digital histology signatures on deep learning model accuracy and bias

Howard, F. M., Dolezal, J., Kochanny, S., Schulte, J., Chen, H., Heij, L., Huo, D., Nanda, R., Olopade, O. I., Kather, J. N., et al. (2021) · Nature Communications

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 330

Evaluation of large language models as a diagnostic aid for complex medical cases

Ríos-Hoyo, A., Shan, N. L., Li, A., Pearson, A. T., Pusztai, L., & Howard, F. M. (2024) · Frontiers in Medicine

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 66

Advancing healthcare AI governance through a comprehensive maturity model based on systematic review

Hussein, R., Zink, A., Ramadan, B., Howard, F. M., Hightower, M., Shah, S., & Beaulieu-Jones, B. K. (2026) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 42

Deep learning on histopathological images to predict breast cancer recurrence risk and chemotherapy benefit

Shamai, G., Cohen, S., Binenbaum, Y., Sabo, E., Cretu, A., Mayer, C., Barshack, I., Goldman, T., Bar-Sela, G., Polónia, A., et al. (2025) · medRxiv

AI in cancer detectionBreast Cancer Treatment Studies

Cited by 3