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Frontiers | Editorial: ML and AI Safety, Effectiveness and Explainability in Healthcare


2Aifred Health, Inc., Montreal, QC, Canada
3Department of Information Science, Bar-Ilan University, Ramat Gan, Israel
4Department of Mathematics, Queens College (CUNY), New York City, NY, United States
Editorial on the Research Topic
The increasing performance of machine learning and artificial intelligence (ML/AI) models has led to them being encountered more frequently in daily life, including in clinical medicine (Bruckert et al.; Rosenfeld et al., 2021). While concerns about the opaque “black box” nature of ML/AI tools are not new, the need for practical solutions to the interpretability problem has become more pressing as ML/AI devices move from the laboratory, through regulatory processes that have yet to fully catch up to the state-of-the-art (Benrimoh et al., 2018a), and to the bedside. This special edition targets three key domains in which innovation and clearer best practices are required for the implementation of ML/AI approaches in healthcare: ensu ....

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Global Vision Care Market Report 2021-2027: Drivers Include Growing Prevalence of Eye Diseases & Rising Funds for Eye Care Research

Dublin, June 02, 2021 (GLOBE NEWSWIRE) The "Vision Care Market Forecast to 2027 - COVID-19 Impact and Global Analysis - by Product Type ( Eye Glasses, Contact Lens, Intraocular Lens, Others ); Distribution Channel ( Retail Stores, E-Commerce, Clinics, Hospitals )" report has been added to ResearchAndMarkets.com's offering. The Vision Care market was valued at US$ 66,934.51 million in 2019 and is projected to reach US$ 93,817.82 million by 2027; it is expected to grow at a CAGR of 4.31% from 2 ....

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