Benchmark datasets driving artificial intelligence development fail to capture the needs of medical professionals

Author:

Blagec Kathrin,Kraiger Jakob,Frühwirt Wolfgang,Samwald Matthias

Funder

Horizon 2020

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference39 articles.

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3. S. MacAvaney, A. Cohan, N. Goharian, SLEDGE-Z: A Zero-Shot Baseline for COVID-19 Literature Search, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Stroudsburg, PA, USA: Association for Computational Linguistics; 2020, p. 4171–9. 10.18653/v1/2020.emnlp-main.341.

4. Development and validation of a deep learning system for diabetic retinopathy and related eye diseases using retinal images from multiethnic populations with diabetes;Ting;J. Am. Med. Assoc.,2017

5. Hybrid machine learning architecture for automated detection and grading of retinal images for diabetic retinopathy;Narayanan;J. Med. Imaging (Bellingham),2020

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