Dipesh Niraula, PhD
Moffitt Cancer Center
Tampa, Florida, United States
Dr. Dipesh Niraula is an Applied Research Scientist in the Department of Machine Learning at Moffitt Cancer Center. His research focuses on predictive modeling, real-world data analytics, explainable artificial intelligence (AI), and human-AI interaction in oncology. He develops interpretable machine learning models and clinical decision-support tools that leverage multimodal healthcare data, including medical imaging, radiation treatment, and clinical outcomes, to improve patient risk stratification and support evidence-based decision-making in radiation oncology. His work spans survival modeling, multimodal deep learning, explainable AI, and the evaluation of AI-assisted clinical workflows, with the goal of advancing trustworthy and clinically actionable AI systems that improve both clinician decision-making and patient outcomes.
Disclosures:
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