Université Claude Bernard Lyon 1

Machine learning for clinical decision support in infectious diseases: a narrative review of current applications

Nathan Peiffer‐Smadja, Timothy M. Rawson, Raheelah Ahmad et al.

2019 · 516 Zit.

Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation (PRIME): A Checklist

Partho P. Sengupta, Sirish Shrestha, Béatrice Berthon et al.

2020 · 205 Zit.

Artificial Intelligence and Ethics in Dentistry: A Scoping Review

Carl‐Maria Mörch, Saadet Atsü, Wenji Cai et al.

2021 · 150 Zit.

Artificial Intelligence: Applications in orthognathic surgery

P. Boulétreau, Masrour Makaremi, Badr Ibrahim et al.

2019 · 110 Zit.

Ethical considerations on artificial intelligence in dentistry: A framework and checklist

Rata Rokhshad, Maxime Ducret, Akhilanand Chaurasia et al.

2023 · 98 Zit.

So, are early career researchers the harbingers of change?

David Nicholas, Anthony Watkinson, Chérifa Boukacem‐Zeghmouri et al.

2019 · 90 Zit.

Development of artificial intelligence powered apps and tools for clinical pharmacy services: A systematic review

Florence Ranchon, Sébastien Chanoine, Sophie Lambert‐Lacroix et al.

2022 · 78 Zit.

Multi-task, multi-domain learning: Application to semantic segmentation and pose regression

Damien Fourure, Rémi Emonet, Élisa Fromont et al.

2017 · 68 Zit.

To do no harm — and the most good — with AI in health care

Carey Beth Goldberg, Laura Adams, David Blumenthal et al.

2024 · 68 Zit.

Artificial intelligence for oral and maxillo-facial surgery: A narrative review

S. Rasteau, D. Ernenwein, Charles Savoldelli et al.

2022 · 61 Zit.

How individual participant data meta-analyses have influenced trial design, conduct, and analysis

Jayne F. Tierney, Jean‐Pierre Pignon, Francois Gueffyier et al.

2015 · 57 Zit.

Application of Machine Learning Models to Predict Recurrence After Surgical Resection of Nonmetastatic Renal Cell Carcinoma

Z. Khene, Pierre Bigot, N. Doumerc et al.

2022 · 48 Zit.

Five simultaneous artificial intelligence data challenges on ultrasound, CT, and MRI

Nathalie Lassau, Théo Estienne, P. de Vomecourt et al.

2019 · 43 Zit.

Putting undergraduate medical students in AI-CDSS designers’ shoes: An innovative teaching method to develop digital health critical thinking

Rosy Tsopra, Nathan Peiffer‐Smadja, Caroline Charlier et al.

2022 · 37 Zit.

Artificial intelligence for sustainable oral healthcare

Maxime Ducret, Carl‐Maria Mörch, Teodora Karteva et al.

2022 · 35 Zit.