Published in Preprint, 2026
Evaluating how chain-of-thought prompting can paradoxically degrade medical language model performance.
Recommended citation: Sadanandan, B., & Behzadan, V. (2026). When Chain-of-Thought Backfires: Evaluating Prompt Sensitivity in Medical Language Models.
Published in arXiv preprint, 2025
Integration of data-driven PBPK modeling with reinforcement learning for dynamic treatment optimization in cancer therapy.
Recommended citation: Sadanandan, B., & Behzadan, V. (2025). Promise of Data-Driven Modeling and Decision Support for Precision Oncology and Theranostics. arXiv preprint arXiv:2505.09899.
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Published in International Journal of Trend in Scientific Research and Development 8(3), 12, 2024
A systematic review and experimental validation of machine learning techniques for predicting anastomotic leak in surgical procedures.
Recommended citation: Sadanandan, B. (2024). Machine Learning for Anastomotic Leak Prediction: A Systematic Review and Experimental Validation. International Journal of Trend in Scientific Research and Development, 8(3), 12.
Published in MIT, 2019
Research on data-driven decision making methodologies.
Recommended citation: Sadanandan, B. K. (2019). Data-Driven Decisions. MIT.
Published in IEEE ISBI 2026, 2025
A comprehensive vulnerability scoring framework for evaluating the robustness of medical vision-language models against adversarial attacks.
Recommended citation: Sadanandan, B., & Behzadan, V. (2025). VSF-Med: A Vulnerability Scoring Framework for Medical Vision-Language Models. IEEE ISBI 2026.
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Published in 2024 8th International Conference on Medical and Health Informatics, 2024
A comparative study of GAN, VAE, and HMM for fault detection in medical devices using data-driven digital twins.
Recommended citation: Sadanandan, B., Arghavani Nobar, B., & Behzadan, V. (2024). Comparative Study of Generative Models for Early Detection of Failures in Medical Devices. 2024 8th International Conference on Medical and Health Informatics.
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Published in WO Patent WO2025027493A1, 2025
Patent for machine learning-based verification of consistent staple line delivery in surgical devices.
Recommended citation: Kumar, B., Bidarahalli, P.K., & Miesse, A.M. (2025). System and method for machine learning method to verify consistent staple line delivery. WO Patent WO2025027493A1.
Published in WO Patent WO2023223258A2, 2023
Patent for machine learning-based control systems for surgical devices.
Recommended citation: Miesse, A.M., Sadanandan, B.K., Evans, C.K., Knapp, R.H., & Jalaja, N.L.V. (2023). Systems and methods for machine learning control of a surgical device. WO Patent WO2023223258A2.