Hassett, Michael J.

Artificial Intelligence in Oncology: Current Landscape, Challenges, and Future Directions

Lotter, W., Hassett, M. J., Schultz, N., Kehl, K. L., Van Allen, E. M., & Cerami, E. (2024) · Cancer Discovery

Artificial Intelligence in Healthcare and EducationAI in cancer detection

Cited by 196

Artificial intelligence in oncology: path to implementation

Chua, I. S., Gaziel‐Yablowitz, M., Korach, Z. T., Kehl, K. L., Levitan, N. A., Arriaga, Y. E., Jackson, G. P., Bates, D. W., & Hassett, M. (2021) · Cancer Medicine

Artificial Intelligence in Healthcare and EducationAI in cancer detection

Cited by 179

Machine learning for genetics-based classification and treatment response prediction in cancer of unknown primary

Moon, I., LoPiccolo, J., Baca, S. C., Sholl, L. M., Kehl, K. L., Hassett, M. J., Liu, D., Schrag, D., & Gusev, A. (2023) · Nature Medicine

Cancer Diagnosis and TreatmentCancer Genomics and Diagnostics

Cited by 122

Regional Variation in Spending and Survival for Older Adults With Advanced Cancer

Brooks, G. A., Li, L., Sharma, D. B., Weeks, J. C., Hassett, M. J., Yabroff, K. R., & Schrag, D. (2013) · JNCI: Journal of the National Cancer Institute

Economic and Financial Impacts of CancerHealthcare Policy and Management

Cited by 98

Natural Language Processing to Ascertain Cancer Outcomes from Medical Oncologist Notes

Kehl, K. L., Xu, W., Lepisto, E., Elmarakeby, H., Hassett, M. J., Van Allen, E. M., Johnson, B. E., & Schrag, D. (2020) · JCO Clinical Cancer Informatics

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 90

Evaluating the use of web versus mobile devices for ePRO reporting and severe symptom responses at 6 cancer centers.

Cronin, C., Tramontano, A., Schrag, D., Wong, S. L., Osarogiagbon, R. U., Hazard-Jenkins, H. W., Dizon, D. S., Bian, J. J., & Hassett, M. J. (2022) · Journal of Clinical Oncology

Cancer survivorship and careMobile Health and mHealth Applications

Cited by 1