Romain Pirracchio

Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare

2022 · 323 Zit. · npj Digital Medicine

Reporting Use of AI in Research and Scholarly Publication—JAMA Network Guidance

2024 · 66 Zit. · JAMA

The clinical artificial intelligence department: a prerequisite for success

2020 · 50 Zit. · BMJ Health & Care Informatics

Availability of information needed to evaluate algorithmic fairness — A systematic review of publicly accessible critical care databases

2023 · 11 Zit. · Anaesthesia Critical Care & Pain Medicine

The past, the present and the future of machine learning and artificial intelligence in anesthesia and Postanesthesia Care Units (PACU)

2022 · 7 Zit. · Minerva Anestesiologica

Harnessing AI in critical care: opportunities, challenges and key steps for success

2025 · 6 Zit. · Thorax

What every intensivist should know about Big Data and targeted machine learning in the intensive care unit

2019 · 4 Zit. · Revista Brasileira de Terapia Intensiva

A descriptive appraisal of quality of reporting in a cohort of machine learning studies in anesthesiology

2022 · 4 Zit. · Anaesthesia Critical Care & Pain Medicine

Expert-augmented machine learning

2020 · 2 Zit. · Proceedings of the National Academy of Sciences

Humans versus machine learning models: improving the outcome of trauma patients

2025 · 2 Zit. · The Lancet Regional Health - Europe

The past, the present and the future of machine learning and artificial intelligence in anesthesia and Postanesthesia Care Units (PACU).

2022 · 2 Zit. · PubMed

Evaluating AI-based comprehensive clinical decision support for sepsis and ARDS: protocol for a Clinician Turing Test

2025 · 0 Zit. · BMJ Open