: The integration of Clinical Decision Support Systems (CDSS) based on artificial intelligence (AI) in healthcare is groundbreaking evolution with enormous potential, but its development and ethical implementation, presents unique challenges, particularly in critical care, where physicians often deal with life-threating conditions requiring rapid actions and patients unable to participate in the decisional process. Moreover, development of AI-based CDSS is complex and should address different sources of bias, including data acquisition, health disparities, domain shifts during clinical use, and cognitive biases in decision-making. In this scenario algor-ethics is mandatory and emphasizes the integration of 'Human-in-the-Loop' and 'Algorithmic Stewardship' principles, and the benefits of advanced data engineering. The establishment of Clinical AI Departments (CAID) is necessary to lead AI innovation in healthcare, ensuring ethical integrity and human-centered development in this rapidly evolving field.

Algor-ethics: charting the ethical path for AI in critical care / Montomoli, Jonathan; Bitondo, Maria Maddalena; Cascella, Marco; Rezoagli, Emanuele; Romeo, Luca; Bellini, Valentina; Semeraro, Federico; Gamberini, Emiliano; Frontoni, Emanuele; Agnoletti, Vanni; Altini, Mattia; Benanti, Paolo; Bignami, Elena Giovanna. - In: JOURNAL OF CLINICAL MONITORING AND COMPUTING. - ISSN 1387-1307. - (2024). [10.1007/s10877-024-01157-y]

Algor-ethics: charting the ethical path for AI in critical care

Bellini, Valentina;Bignami, Elena Giovanna
2024-01-01

Abstract

: The integration of Clinical Decision Support Systems (CDSS) based on artificial intelligence (AI) in healthcare is groundbreaking evolution with enormous potential, but its development and ethical implementation, presents unique challenges, particularly in critical care, where physicians often deal with life-threating conditions requiring rapid actions and patients unable to participate in the decisional process. Moreover, development of AI-based CDSS is complex and should address different sources of bias, including data acquisition, health disparities, domain shifts during clinical use, and cognitive biases in decision-making. In this scenario algor-ethics is mandatory and emphasizes the integration of 'Human-in-the-Loop' and 'Algorithmic Stewardship' principles, and the benefits of advanced data engineering. The establishment of Clinical AI Departments (CAID) is necessary to lead AI innovation in healthcare, ensuring ethical integrity and human-centered development in this rapidly evolving field.
2024
Algor-ethics: charting the ethical path for AI in critical care / Montomoli, Jonathan; Bitondo, Maria Maddalena; Cascella, Marco; Rezoagli, Emanuele; Romeo, Luca; Bellini, Valentina; Semeraro, Federico; Gamberini, Emiliano; Frontoni, Emanuele; Agnoletti, Vanni; Altini, Mattia; Benanti, Paolo; Bignami, Elena Giovanna. - In: JOURNAL OF CLINICAL MONITORING AND COMPUTING. - ISSN 1387-1307. - (2024). [10.1007/s10877-024-01157-y]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/2977712
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