Nusrat Mohi Ud Din
Papers
1
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1
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About
Nusrat Mohi Ud Din is a rising researcher at the intersection of artificial intelligence and healthcare, with a primary focus on deep reinforcement learning and its transformative applications in medical science. Her most-cited work, "Deep Reinforcement Learning in Medical Science: Methods, Applications, and Future Directions" (2025), provides a comprehensive survey that bridges cutting-edge AI techniques with clinical needs, offering a roadmap for intelligent decision-making in diagnostics, treatment planning, and personalized medicine. Though early in her career, this paper has already garnered citations, signaling its growing influence among researchers exploring AI-driven healthcare solutions. Her contributions emphasize the potential of reinforcement learning to optimize complex medical workflows, from drug discovery to robotic surgery, while addressing critical challenges like data scarcity and model interpretability. As a forward-thinking scholar, Nusrat is helping shape the next generation of intelligent medical systems, making her work essential reading for students and researchers at the forefront of AI in medicine.
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