Université Claude Bernard Lyon 1

Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists

Holger A. Haenssle, Christine Fink, Roland Schneiderbauer et al.

2018 · 1.540 Zit.

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 · 528 Zit.

Effects of dataset size and interactions on the prediction performance of logistic regression and deep learning models

Alexandre Bailly, Corentin Blanc, Elie Francis et al.

2021 · 230 Zit.

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

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

2020 · 211 Zit.

Artificial Intelligence and Ethics in Dentistry: A Scoping Review

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

2021 · 153 Zit.

Barriers and Facilitators to the Use of Clinical Decision Support Systems in Primary Care: A Mixed-Methods Systematic Review

Pierre-Yves Meunier, Camille Raynaud, Emmanuelle Guimaraes et al.

2023 · 118 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 · 108 Zit.

So, are early career researchers the harbingers of change?

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

2019 · 91 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 · 85 Zit.

Artificial intelligence in knee arthroplasty: current concept of the available clinical applications

Cécile Batailler, Jobe Shatrov, Elliot Sappey‐Marinier et al.

2022 · 74 Zit.

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

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

2024 · 69 Zit.

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

Damien Fourure, Rémi Emonet, Élisa Fromont et al.

2017 · 68 Zit.

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

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

2022 · 61 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 · 49 Zit.