Mak, Raymond H.

Artificial intelligence in cancer imaging: Clinical challenges and applications

Bi, W. L., Hosny, A., Schabath, M. B., Giger, M. L., Birkbak, N. J., Mehrtash, A., Allison, T., Arnaout, O., Abbosh, C., Dunn, I. F., et al. (2019) · CA: A Cancer Journal for Clinicians

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 1,846

Densely Interconnected Transcriptional Circuits Control Cell States in Human Hematopoiesis

Novershtern, N., Subramanian, A., Lawton, L. N., Mak, R. H., Haining, W. N., McConkey, M. E., Habib, N., Yosef, N., Chang, C. Y., Shay, T., et al. (2011) · Cell

Genomics and Chromatin DynamicsGene Regulatory Network Analysis

Cited by 942

CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma

Coroller, T. P., Grossmann, P., Hou, Y., Rios Velazquez, E., Leijenaar, R. T. H., Hermann, G., Lambin, P., Haibe-Kains, B., Mak, R. H., & Aerts, H. J. W. L. (2015) · Radiotherapy and Oncology

Radiomics and Machine Learning in Medical ImagingImage Retrieval and Classification Techniques

Cited by 695

Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study

Hosny, A., Parmar, C., Coroller, T. P., Grossmann, P., Zeleznik, R., Kumar, A., Bussink, J., Gillies, R. J., Mak, R. H., & Aerts, H. J. W. L. (2018) · PLOS Medicine

Radiomics and Machine Learning in Medical ImagingAI in cancer detection

Cited by 579

Large language models to identify social determinants of health in electronic health records

Guevara, M., Chen, S., Thomas, S., Chaunzwa, T. L., Franco, I., Kann, B. H., Moningi, S., Qian, J. M., Goldstein, M., Harper, S., et al. (2024) · npj Digital Medicine

Machine Learning in HealthcareTopic Modeling

Cited by 278

Use of Artificial Intelligence Chatbots for Cancer Treatment Information

Chen, S., Kann, B. H., Foote, M. B., Aerts, H. J. W. L., Savova, G. K., Mak, R. H., & Bitterman, D. S. (2023) · JAMA Oncology

Artificial Intelligence in Healthcare and EducationClinical practice guidelines implementation

Cited by 251

Chemical genetic strategy identifies histone deacetylase 1 (HDAC1) and HDAC2 as therapeutic targets in sickle cell disease

Bradner, J. E., Mak, R., Tanguturi, S. K., Mazitschek, R., Haggarty, S. J., Ross, K., Chang, C. Y., Bosco, J., West, N., Morse, E., et al. (2010) · Proceedings of the National Academy of Sciences

Hemoglobinopathies and Related DisordersHistone Deacetylase Inhibitors Research

Cited by 211

Foundation Model for Cancer Imaging Biomarkers

Pai, S., Bontempi, D., Hadzic, I., Prudente, V., Sokač, M., Chaunzwa, T. L., Bernatz, S., Hosny, A., Mak, R. H., Birkbak, N. J., et al. (2024) · Nature Machine Intelligence

Radiomics and Machine Learning in Medical ImagingAI in cancer detection

Cited by 199

The effect of using a large language model to respond to patient messages

Chen, S., Guevara, M., Moningi, S., Hoebers, F., Elhalawani, H., Kann, B. H., Chipidza, F. E., Leeman, J., Aerts, H. J. W. L., Miller, T., et al. (2024) · The Lancet Digital Health

Artificial Intelligence in Healthcare and EducationElectronic Health Records Systems

Cited by 147

Approaching autonomy in medical artificial intelligence

Bitterman, D. S., Aerts, H. J. W. L., & Mak, R. H. (2020) · The Lancet Digital Health

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 107

Natural Language Processing to Automatically Extract the Presence and Severity of Esophagitis in Notes of Patients Undergoing Radiotherapy

Chen, S., Guevara, M., Ramirez, N., Murray, A., Warner, J. L., Aerts, H. J. W. L., Miller, T. A., Savova, G. K., Mak, R. H., & Bitterman, D. S. (2023) · JCO Clinical Cancer Informatics

Biomedical Text Mining and OntologiesMachine Learning in Healthcare

Cited by 20

Natural Language Processing Methods to Empirically Explore Social Contexts and Needs in Cancer Patient Notes

Derton, A., Guevara, M., Chen, S., Moningi, S., Kozono, D. E., Liu, D., Miller, T. A., Savova, G. K., Mak, R. H., & Bitterman, D. S. (2023) · JCO Clinical Cancer Informatics

Machine Learning in HealthcareComputational and Text Analysis Methods

Cited by 8