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Research at the Intersection of AI and Health Care

CPACE is actively engaged in producing high-impact and peer-reviewed research at the intersection of artificial intelligence (AI) and health care.

Our interdisciplinary teams contribute to leading journals and conferences, advancing the frontiers of explainable and responsible AI, clinical decision support, ethical AI integration, and AI-driven health systems. Through these publications, we aim to not only generate new knowledge but also to influence best practices, promote open scientific research, and support the responsible translation of AI technologies into clinical settings.

Ethical and Bias Considerations in Artificial Intelligence/Machine Learning >
Hanna MG., Pantanowitz L., Jackson B., et al.; Modern Pathology 2025

Statistics of Generative Artificial Intelligence and Nongenerative Predictive Analytics Machine Learning in Medicine >
Rashidi HH., Hu B., Pantanowitz J., Tran NK., et al.; Modern Pathology 2025

Generative Artificial Intelligence in Pathology and Medicine: A Deeper Dives >
Rashidi HH., Pantanowitz J., et al.; Modern Pathology 2025

Introducing an Essential 7-Part Artificial Intelligence Review Series: A Guided Journey Into the Future of Pathology and Medicine >
Rashidi HH., Hanna MG., Pantanowitz L.; Modern Pathology 2025

Artificial Intelligence and Machine Learning in Pathology: The Present Landscape of Supervised Methods >
Rashidi HH., Tran NK., Betts EV., Howell LP., Green R.; Academic Pathology 2019