Jonnagaddala, Jitendra

Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks

Yao, J., Zhu, X., Jonnagaddala, J., Hawkins, N., & Huang, J. (2020) · Medical Image Analysis

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 522

Transformer-based biomarker prediction from colorectal cancer histology: A large-scale multicentric study

Wagner, S. J., Reisenbüchler, D., West, N. P., Niehues, J. M., Zhu, J., Foersch, S., Veldhuizen, G. P., Quirke, P., Grabsch, H. I., van den Brandt, P. A., et al. (2023) · Cancer Cell

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 275

Artificial Intelligence in Primary Health Care: Perceptions, Issues, and Challenges: Primary Health Care Informatics Working Group Contribution to the Yearbook of Medical Informatics 2019

Liyanage, H., Liaw, S.-T., Jonnagaddala, J., Schreiber, R., Kuziemsky, C., Terry, A. L., & de Lusignan, S. (2019) · Yearbook of Medical Informatics

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 200

End-to-end prognostication in colorectal cancer by deep learning: a retrospective, multicentre study

Jiang, X., Hoffmeister, M., Brenner, H., Muti, H. S., Yuan, T., Foersch, S., West, N. P., Brobeil, A., Jonnagaddala, J., Hawkins, N., et al. (2024) · The Lancet Digital Health

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 108

Ethical Use of Electronic Health Record Data and Artificial Intelligence: Recommendations of the Primary Care Informatics Working Group of the International Medical Informatics Association

Liaw, S.-T., Liyanage, H., Kuziemsky, C., Terry, A. L., Schreiber, R., Jonnagaddala, J., & de Lusignan, S. (2020) · Yearbook of Medical Informatics

Electronic Health Records SystemsArtificial Intelligence in Healthcare and Education

Cited by 76

Diminishing benefits of urban living for children and adolescents' growth and development

NCD Risk Factor Collaboration (NCD-RisC), Mishra, A., Zhou, B., Rodriguez-Martinez, A., Bixby, H., Singleton, R. K., Carrillo-Larco, R. M., Sheffer, K. E., Paciorek, C. J., Bennett, J. E., et al. (2023) · Nature

Obesity, Physical Activity, DietHuman Health and Disease

Cited by 70

Use of repurposed and adjuvant drugs in hospital patients with covid-19: multinational network cohort study

Prats-Uribe, A., Sena, A. G., Lai, L. Y. H., Ahmed, W.-U.-R., Alghoul, H., Alser, O., Alshammari, T. M., Areia, C., Carter, W., Casajust, P., et al. (2021) · BMJ

COVID-19 Clinical Research StudiesCOVID-19 and healthcare impacts

Cited by 68

Interventions to improve adherence among patients prescribed statins for primary prevention of cardiovascular diseases: a systematic review and meta-analysis

Rakhshanda, S., Briggs, N. E., Rhee, J., Rye, K.-A., Liaw, S.-T., & Jonnagaddala, J. (2026) · European Journal of Preventive Cardiology

Medication Adherence and ComplianceLipoproteins and Cardiovascular Health

Cited by 3