Sounderajah, Viknesh

Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis

Aggarwal, R., Sounderajah, V., Martin, G., Ting, D. S. W., Karthikesalingam, A., King, D., Ashrafian, H., & Darzi, A. (2021) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationAI in cancer detection

Cited by 946

The STARD-AI reporting guideline for diagnostic accuracy studies using artificial intelligence

Sounderajah, V., Guni, A., Liu, X., Collins, G. S., Karthikesalingam, A., Markar, S. R., Golub, R. M., Denniston, A. K., Shetty, S., Moher, D., et al. (2025) · Nature Medicine

Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and Education

Cited by 352

Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol

Sounderajah, V., Ashrafian, H., Golub, R. M., Shetty, S., De Fauw, J., Hooft, L., Moons, K., Collins, G., Moher, D., Bossuyt, P. M., et al. (2021) · BMJ Open

Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and Education

Cited by 333

Developing specific reporting guidelines for diagnostic accuracy studies assessing AI interventions: The STARD-AI Steering Group

Sounderajah, V., Ashrafian, H., Aggarwal, R., De Fauw, J., Denniston, A. K., Greaves, F., Karthikesalingam, A., King, D., Liu, X., Markar, S. R., et al. (2020) · Nature Medicine

Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and Education

Cited by 270

An introduction to digital determinants of health

Chidambaram, S., Jain, B., Jain, U., Mwavu, R., Baru, R., Thomas, B., Greaves, F., Jayakumar, S., Jain, P., Rojo, M., et al. (2024) · PLOS Digital Health

Health Literacy and Information AccessibilityTechnology Use by Older Adults

Cited by 175

PRISMA AI reporting guidelines for systematic reviews and meta-analyses on AI in healthcare

Cacciamani, G. E., Chu, T. N., Sanford, D. I., Abreu, A., Duddalwar, V., Oberai, A., Kuo, C.-C. J., Liu, X., Denniston, A. K., Vasey, B., et al. (2023) · Nature Medicine

Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and Education

Cited by 143

Quality assessment standards in artificial intelligence diagnostic accuracy systematic reviews: a meta-research study

Jayakumar, S., Sounderajah, V., Normahani, P., Harling, L., Markar, S. R., Ashrafian, H., & Darzi, A. (2022) · npj Digital Medicine

Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and Education

Cited by 110

Tackling bias in AI health datasets through the STANDING TOGETHER initiative

Ganapathi, S., Palmer, J., Alderman, J. E., Calvert, M., Espinoza, C., Gath, J., Ghassemi, M., Heller, K., Mckay, F., Karthikesalingam, A., et al. (2022) · Nature Medicine

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 82

The Role of Wearable Technologies and Telemonitoring in Managing Vascular Disease

Chan, C., Sounderajah, V., Acharya, A., Normahani, P., Bicknell, C., & Riga, C. (2020) · Vascular and Endovascular Review

Mobile Health and mHealth ApplicationsTelemedicine and Telehealth Implementation

Cited by 6

LearnLM: Improving Gemini for Learning

LearnLM Team, Modi, A., Veerubhotla, A. S., Rysbek, A., Huber, A., Wiltshire, B., Veprek, B., Gillick, D., Kasenberg, D., Ahmed, D., et al. (2024) · arXiv

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 4