Shetty, Shravya
Google (United States)
10 papers on CoChatORCID 0000-0003-3783-3172
Most cited papers
- Verified
International evaluation of an AI system for breast cancer screening
McKinney, S. M., Sieniek, M., Godbole, V., Godwin, J., Antropova, N., Ashrafian, H., Back, T., Chesus, M., Corrado, G. S., Darzi, A., et al. (2020) · Nature
AI in cancer detectionDigital Radiography and Breast Imaging
Cited by 3,287
- Verified
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
- Verified
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
- Verified
Chest Radiograph Interpretation with Deep Learning Models: Assessment with Radiologist-adjudicated Reference Standards and Population-adjusted Evaluation
Majkowska, A., Mittal, S., Steiner, D. F., Reicher, J. J., McKinney, S. M., Duggan, G. E., Eswaran, K., Cameron Chen, P.-H., Liu, Y., Kalidindi, S. R., et al. (2020) · Radiology
COVID-19 diagnosis using AIArtificial Intelligence in Healthcare and Education
Cited by 277
- Verified
Understanding metric-related pitfalls in image analysis validation
Reinke, A., Tizabi, M. D., Baumgartner, M., Eisenmann, M., Heckmann-Nötzel, D., Kavur, A. E., Rädsch, T., Sudre, C. H., Acion, L., Antonelli, M., et al. (2024) · Nature Methods
Cell Image Analysis TechniquesMedical Image Segmentation Techniques
Cited by 241
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Collaboration between clinicians and vision–language models in radiology report generation
Tanno, R., Barrett, D. G. T., Sellergren, A., Ghaisas, S., Dathathri, S., See, A., Welbl, J., Lau, C., Tu, T., Azizi, S., et al. (2025) · Nature Medicine
Artificial Intelligence in Healthcare and EducationMultimodal Machine Learning Applications
Cited by 186
- Verified
Metrics reloaded: Recommendations for image analysis validation
Maier-Hein, L., Reinke, A., Godau, P., Tizabi, M. D., Buettner, F., Christodoulou, E., Glocker, B., Isensee, F., Kleesiek, J., Kozubek, M., et al. (2022) · arXiv
Cell Image Analysis TechniquesMedical Image Segmentation Techniques
Cited by 59
- Verified
A mobile-optimized artificial intelligence system for gestational age and fetal malpresentation assessment
Gomes, R. G., Vwalika, B., Lee, C., Willis, A., Sieniek, M., Price, J. T., Chen, C., Kasaro, M. P., Taylor, J. A., Stringer, E. M., et al. (2022) · Communications Medicine
Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare
Cited by 47
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Development of a Machine Learning Model for Sonographic Assessment of Gestational Age
Lee, C., Willis, A., Chen, C., Sieniek, M., Watters, A., Stetson, B., Uddin, A., Wong, J., Pilgrim, R., Chou, K., et al. (2023) · JAMA Network Open
Artificial Intelligence in Healthcare and EducationPrenatal Screening and Diagnostics
Cited by 42
- Verified
Advancing Multimodal Medical Capabilities of Gemini
Yang, L., Xu, S., Sellergren, A., Kohlberger, T., Zhou, Y., Ktena, I., Kiraly, A., Ahmed, F., Hormozdiari, F., Jaroensri, T., et al. (2024) · arXiv
Artificial Intelligence in Healthcare and EducationMultimodal Machine Learning Applications
Cited by 34
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