Quantum technologies and explainable artificial intelligence (XAI) present an exciting avenue for improving operating workflows, customizing therapies, and enhancing diagnostics. Quantum-enhanced XAI has the potential to revolutionize healthcare systems and medicine, making it an important field of research. These developments allow doctors to make data-driven decisions, ultimately improving patient outcomes and raising the standard of care. The authors have focused their essays on these topics to spark insightful conversations and promote further research into the potential applications, challenges, and future directions of hybrid quantum systems and XAI. The focus on quantum-enhanced XAI aims to stimulate discussion that offers fresh perspectives and ideas, particularly regarding the development of new methodologies, the improvement of current approaches, and the exploration of innovative applications in cutting-edge domains. Finally, the authors provide suggestions for future research and practical guidance for scholars and practitioners working in the medical and healthcare fields.

Challenges and Opportunities in Quantum-Enhanced XAI for Medical and Healthcare Systems / Cecere, Raffaele; Santopaolo, Alessandro; Felice Russo, Giuseppe; Iodice, Francesco; Schiano Di Cola, Vincenzo. - (2025). (Intervento presentato al convegno IEEE Symposium on Computers and Communications tenutosi a Bologna).

Challenges and Opportunities in Quantum-Enhanced XAI for Medical and Healthcare Systems

Alessandro Santopaolo;
2025

Abstract

Quantum technologies and explainable artificial intelligence (XAI) present an exciting avenue for improving operating workflows, customizing therapies, and enhancing diagnostics. Quantum-enhanced XAI has the potential to revolutionize healthcare systems and medicine, making it an important field of research. These developments allow doctors to make data-driven decisions, ultimately improving patient outcomes and raising the standard of care. The authors have focused their essays on these topics to spark insightful conversations and promote further research into the potential applications, challenges, and future directions of hybrid quantum systems and XAI. The focus on quantum-enhanced XAI aims to stimulate discussion that offers fresh perspectives and ideas, particularly regarding the development of new methodologies, the improvement of current approaches, and the exploration of innovative applications in cutting-edge domains. Finally, the authors provide suggestions for future research and practical guidance for scholars and practitioners working in the medical and healthcare fields.
2025
IEEE Symposium on Computers and Communications
quantum computing; explainable artificial intelligence (xai); medical diagnostics; healthcare systems; quantum algorithms; interpretability; ethical ai
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Challenges and Opportunities in Quantum-Enhanced XAI for Medical and Healthcare Systems / Cecere, Raffaele; Santopaolo, Alessandro; Felice Russo, Giuseppe; Iodice, Francesco; Schiano Di Cola, Vincenzo. - (2025). (Intervento presentato al convegno IEEE Symposium on Computers and Communications tenutosi a Bologna).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1754399
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