Hôpitaux Universitaires de Strasbourg

Machine learning-based prediction of emergency neurosurgery within 24 h after moderate to severe traumatic brain injury

Jean-Denis Moyer, Patrick Lee, Charles Bernard et al.

2022 · 39 Zit.

What is the rate of text generated by artificial intelligence over a year of publication in Orthopedics & Traumatology: Surgery & Research? Analysis of 425 articles before versus after the launch of ChatGPT in November 2022

Théophile Bisi, Anthony H Risser, Philippe Clavert et al.

2023 · 32 Zit.

Interventional radiology and artificial intelligence in radiology: Is it time to enhance the vision of our medical students?

Pierre Auloge, Julien Garnon, Joey Marie Robinson et al.

2020 · 16 Zit.

Is the information provided by large language models valid in educating patients about adolescent idiopathic scoliosis? An evaluation of content, clarity, and empathy

Siegmund Lang, Jacopo Antonino Vitale, Fabio Galbusera et al.

2024 · 13 Zit.

Preliminary stage in the development of an artificial intelligence algorithm: Variations between 100 surgeons in phase annotation in a video of internal fixation of distal radius fracture

Camille Graëff, Audrey Daiss, Thomas Lampert et al.

2023 · 12 Zit.

Using machine learning or deep learning models in a hospital setting to detect inappropriate prescriptions: a systematic review

Erin Johns, Ahmad Alkanj, M. Beck et al.

2023 · 10 Zit.

Validation of a natural language processing algorithm using national reporting data to improve identification of anesthesia-related ADVerse evENTs: The “ADVENTURE” study

Paul‐Michel Mertès, Claire Morgand, Paul Barach et al.

2024 · 8 Zit.

Evaluation of neuroradiology emergency MRI interpretations: low discrepancy rates between on-call radiology residents’ preliminary interpretations and neuroradiologists’ final reports

Diana Salca, François Lersy, Thibault Willaume et al.

2022 · 7 Zit.

ECOSBot: a multicenter validation pilot study of a generative AI tool for OSCE-based nephrology training

Raphaël Bentegeac, Nans Florens, Mehdi Maanaoui et al.

2025 · 3 Zit.

USING MACHINE LEARNING OR DEEP LEARNING MODELS IN A HOSPITAL SETTING TO DETECT INAPPROPRIATE PRESCRIPTIONS: A SYSTEMATIC REVIEW

Erin Johns, Julien Godet, A. Alkanj et al.

2023 · 3 Zit.

New insights in Orthopaedics & Traumatology: Surgery & Research: Editorial board, position of the journal regarding AI usage in editing, new features and ethical issues

H. Migaud, P. Clavert, Grégoire Micicoi et al.

2026 · 2 Zit.

Applications of artificial intelligence in surgery: clinical, technical, and governance considerations

Pietro Mascagni, Deepak Alapatt, Luca Sestini et al.

2024 · 2 Zit.

Applications of artificial intelligence in surgery: clinical, technical, and governance considerations

Pietro Mascagni, Deepak Alapatt, Luca Sestini et al.

2024 · 1 Zit.

Quel est le taux de texte généré par de l’intelligence artificielle sur une année de publication dans Orthopaedics & Traumatology: Surgery & Research ? Analyse de 425 articles avant versus après la mise en ligne de ChatGPT en novembre 2022

Théophile Bisi, Anthony H Risser, Philippe Clavert et al.

2023 · 1 Zit.

FO051THE IMPACT OF GFR EVALUATION TECHNIQUE ON LIVING KIDNEY DONATION ELIGIBILITY

F. Gaillard, Marie Courbebaisse, Nassim Kamar et al.

2018 · 0 Zit.