Singh, Yashbir

Decoding ChatGPT: A taxonomy of existing research, current challenges, and possible future directions

Sohail, S. S., Farhat, F., Himeur, Y., Nadeem, M., Madsen, D. Ø., Singh, Y., Atalla, S., & Mansoor, W. (2023) · Journal of King Saud University - Computer and Information Sciences

Topic ModelingArtificial Intelligence Applications

Cited by 192

Mitigating Bias in Radiology Machine Learning: 1. Data Handling

Rouzrokh, P., Khosravi, B., Faghani, S., Moassefi, M., Vera Garcia, D. V., Singh, Y., Zhang, K., Conte, G. M., & Erickson, B. J. (2022) · Radiology: Artificial Intelligence

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 145

Beyond Post hoc Explanations: A Comprehensive Framework for Accountable AI in Medical Imaging Through Transparency, Interpretability, and Explainability

Singh, Y., Hathaway, Q. A., Keishing, V., Salehi, S., Wei, Y., Horvat, N., Vera-Garcia, D. V., Choudhary, A., Mula Kh, A., Quaia, E., et al. (2025) · Bioengineering

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 72

Agentic AI and large language models in radiology: opportunities and hallucination challenges

Salehi, S., Singh, Y., Horst, K. K., Hathaway, Q. A., & Erickson, B. J. (2025) · Bioengineering

Artificial Intelligence in Healthcare and EducationMultimodal Machine Learning Applications

Cited by 32

Beyond single systems: how multi-agent ai is reshaping ethics in radiology

Salehi, S., Singh, Y., Habibi, P., & Erickson, B. J. (2025) · Bioengineering

Artificial Intelligence in Healthcare and EducationExplainable Artificial Intelligence (XAI)

Cited by 21

Deep learning-based uncertainty quantification for quality assurance in hepatobiliary imaging-based techniques

Singh, Y., Andersen, J. B., Hathaway, Q., Venkatesh, S. K., Gores, G. J., & Erickson, B. (2025) · Oncotarget

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 8