Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...

Abstract: Glaucoma remains a major global cause of irreversible blindness, with early detection often hindered by its asymptomatic progression leading to nearly half of cases going undiagnosed. In ...

Machine learning models can assist in predicting patients at risk of postoperative hyperopic shift. Machine learning models can predict the risk of hyperopic shift (HS) after phacoemulsification ...

Ophthalmologists discuss how advanced imaging, MIGS, and home monitoring are reshaping decision-making in complex glaucoma cases. Glaucoma continues to challenge clinicians as one of the world’s ...

Machine learning (ML) outperforms human graders for diagnosing glaucoma. HealthDay News — Machine learning (ML) outperforms human graders for diagnosing glaucoma, according to a study presented at the ...

1 Department of Management Science and Engineering, Stanford University, Stanford, CA, United States 2 Department of Ophthalmology, Byers Eye Institute, Stanford University, Stanford, CA, United ...

An ordinance and a resolution approved by Portland City Council on Wednesday aim to strengthen the city’s sanctuary status and use all available legal resources to resist deployment of any federal ...

Byers Eye Institute, Department of Ophthalmology, Stanford University, Stanford, United States The final, formatted version of the article will be published soon. Purpose: To develop machine learning ...

What you can expect are 400 pages rich in useful material just about everything you need to know to get started with machine learning ... from theory to the actual code that you can directly put into ...

1 School of Taxation and Public Administration, Shanghai Lixin University of Accounting and Finance, Shanghai, China. 2 School of Business, Computing and Social Sciences, University of Gloucestershire ...