Artificial Intelligence and Its Applications in Vision and Eye Care

[1]  Liming Wang,et al.  An artificial intelligence platform for the multihospital collaborative management of congenital cataracts , 2017, Nature Biomedical Engineering.

[2]  Joel E. W. Koh,et al.  Evaluation of Evaporative Dry Eye Disease Using Thermal Images of Ocular Surface Regions with DWT and Gabor Transform , 2017 .

[3]  Wei Li,et al.  A cargo-sorting DNA robot , 2017, Science.

[4]  Adrian S. Bruce,et al.  Clinical Applications of Wavefront Refraction , 2014, Optometry and vision science : official publication of the American Academy of Optometry.

[5]  Timothy R. Smith,et al.  Natural and Artificial Intelligence in Neurosurgery: A Systematic Review , 2018, Neurosurgery.

[6]  Z. Obermeyer,et al.  Predicting the Future - Big Data, Machine Learning, and Clinical Medicine. , 2016, The New England journal of medicine.

[7]  Nicolas Chateau,et al.  Assessment of Just-Noticeable Differences for Refractive Errors and Spherical Aberration Using Visual Simulation , 2004, Optometry and vision science : official publication of the American Academy of Optometry.

[8]  Richard S. Sutton,et al.  Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.

[9]  H. Lin,et al.  Bridging the Logic-Based and Probability-Based Approaches to Artificial Intelligence , 2017 .

[10]  Monika E Hagen,et al.  Early clinical experience with the da Vinci Xi Surgical System in general surgery , 2017, Journal of Robotic Surgery.

[11]  Sumul Modi,et al.  Artificial Intelligence and Neurology , 2016 .

[12]  Gary L. Kreps,et al.  Artificial intelligence and immediacy: designing health communication to personally engage consumers and providers. , 2013, Patient education and counseling.

[13]  Ron Alterovitz,et al.  Robot Planning in the Real World: Research Challenges and Opportunities , 2016, AI Mag..

[14]  Percy Liang,et al.  Semi-Supervised Learning for Natural Language , 2005 .

[15]  Bianca S. Gerendas,et al.  Machine Learning to Analyze the Prognostic Value of Current Imaging Biomarkers in Neovascular Age-Related Macular Degeneration. , 2018, Ophthalmology. Retina.

[16]  Shane Legg,et al.  Human-level control through deep reinforcement learning , 2015, Nature.

[17]  Subhashini Venugopalan,et al.  Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs. , 2016, JAMA.

[18]  Indrajeet Chakraborty,et al.  Artificial Intelligence in Biological Data , 2017 .

[19]  M. Westcott,et al.  Development and validation of a Bayesian network for the differential diagnosis of anterior uveitis , 2016, Eye.

[20]  Geoffrey E. Hinton,et al.  Deep Learning , 2015, Nature.

[21]  R. VanRullen.  Perception Science in the Age of Deep Neural Networks , 2017, Front. Psychol..

[22]  Bruce G. Buchanan,et al.  A (Very) Brief History of Artificial Intelligence , 2005, AI Mag..

[23]  Bram van Ginneken,et al.  A survey on deep learning in medical image analysis , 2017, Medical Image Anal..

[24]  Karen Y He,et al.  Big Data Analytics for Genomic Medicine , 2017, International journal of molecular sciences.

[25]  L. Mujica-Parodi,et al.  From Anxious to Reckless: A Control Systems Approach Unifies Prefrontal-Limbic Regulation Across the Spectrum of Threat Detection , 2017, Front. Syst. Neurosci..