Yu, Kun-Hsing

Artificial intelligence in healthcare

Yu, K.-H., Beam, A. L., & Kohane, I. S. (2018) · Nature Biomedical Engineering

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 2,817

Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer

Zhang, H., Liu, T., Zhang, Z., Payne, S. H., Zhang, B., McDermott, J. E., Zhou, J.-Y., Petyuk, V. A., Chen, L., Ray, D., et al. (2016) · Cell

Ovarian cancer diagnosis and treatmentAdvanced Proteomics Techniques and Applications

Cited by 1,029

Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features

Yu, K.-H., Zhang, C., Berry, G. J., Altman, R. B., Ré, C., Rubin, D. L., & Snyder, M. (2016) · Nature Communications

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 972

A pathology foundation model for cancer diagnosis and prognosis prediction

Wang, X., Zhao, J., Marostica, E., Yuan, W., Jin, J., Zhang, J., Li, R., Tang, H., Wang, K., Li, Y., et al. (2024) · Nature

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 580

A Vision-Language Foundation Model for Precision Oncology

Xiang, J., Wang, X., Zhang, X., Xi, Y., Eweje, F., Chen, Y., Li, Y., Bergstrom, C., Gopaulchan, M., Kim, T., et al. (2025) · Nature

AI in cancer detectionMultimodal Machine Learning Applications

Cited by 256

Framing the challenges of artificial intelligence in medicine

Yu, K.-H., & Kohane, I. S. (2019) · BMJ Quality & Safety

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 233

Transcriptome Profiling of Patient-Specific Human iPSC-Cardiomyocytes Predicts Individual Drug Safety and Efficacy Responses In Vitro

Matsa, E., Burridge, P. W., Yu, K.-H., Ahrens, J. H., Termglinchan, V., Wu, H., Liu, C., Shukla, P., Sayed, N., Churko, J. M., et al. (2016) · Cell stem cell

Pluripotent Stem Cells ResearchCardiac electrophysiology and arrhythmias

Cited by 164

Medical Artificial Intelligence and Human Values

Yu, K.-H., Healey, E., Leong, T.-Y., Kohane, I. S., & Manrai, A. K. (2024) · New England Journal of Medicine

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 149

Histopathology images predict multi-omics aberrations and prognoses in colorectal cancer patients

Tsai, P.-C., Lee, T.-H., Kuo, K.-C., Su, F.-Y., Lee, T.-L. M., Marostica, E., Ugai, T., Zhao, M., Lau, M. C., Väyrynen, J. P., et al. (2023) · Nature Communications

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 136

Machine learning for cryosection pathology predicts the 2021 WHO classification of glioma

Nasrallah, M. P., Zhao, J., Tsai, C. C., Meredith, D., Marostica, E., Ligon, K. L., Golden, J. A., & Yu, K.-H. (2023) · Med

AI in cancer detectionGlioma Diagnosis and Treatment

Cited by 67

Biomedical informatics advancing the national health agenda: the AMIA 2015 year-in-review in clinical and consumer informatics

Roberts, K., Boland, M. R., Pruinelli, L., Dcruz, J., Berry, A., Georgsson, M., Hazen, R., Sarmiento, R. F., Backonja, U., Yu, K.-H., et al. (2017) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsArtificial Intelligence in Healthcare and Education

Cited by 25

Mitochondrial and immune response dysregulation in melanoma recurrence

Szadai, L., Guedes, J. D. S., Woldmar, N., de Almeida, N. P., Jánosi, Á. J., Rajeh, A., Kovács, F., Kriston, A., Migh, E., Wan, G., et al. (2023) · Clinical and Translational Medicine

Cancer Immunotherapy and BiomarkersCutaneous Melanoma Detection and Management

Cited by 18

RadGame: An AI-Powered Platform for Radiology Education

Baharoon, M., Raissi, S., Jun, J. S., Heintz, T., Alabbad, M., Alburkani, A., Kim, S. E., Kleinschmidt, K., Alhumaydhi, A. O., Alghamdi, M. M. G., et al. (2025) · arXiv

Artificial Intelligence in Healthcare and EducationRadiology practices and education

Cited by 1