Open access
Open access
Clinically applicable deep learning for diagnosis and referral in retinal disease – Nature Medicine (free for a limited period)
Commentaries: Opening the ‘black box,’ Google DeepMind AI system diagnoses eye diseases and shows its work – STAT (free) AND Artificial intelligence tool ‘as good as experts’ at detecting eye problems – The Guardian (free)
Association of Cataract Surgery With Traffic Crashes – JAMA Ophthalmology (link to abstract – $ for full-text)
Commentaries: Cataract surgery tied to lower risk of car crashes – Reuters (free) AND Cataract Surgery Tied to Slight Reduction in Car Crashes – Physician’s First Watch (free)
Association of Retinal Nerve Fiber Layer Thinning With Current and Future Cognitive Decline: A Study Using Optical Coherence Tomography – JAMA Neurology (free for a limited period)
Commentaries: Eye Sign of Dementia Risk? Thinning of Retinal Nerve Fiber Layer – MedicalResearch.com (free) AND Are the Eyes Windows to Early Dementia? – MedPage Today (free registration required)
“A thinner Retinal Nerve Fiber Layer is associated with worse cognitive function in individuals without a neurodegenerative disease as well as greater likelihood of future cognitive decline”.
Education and myopia: assessing the direction of causality by mendelian randomization – The BMJ (free)
Editorial: Intense schooling linked to myopia (free)
Commentaries: Education and myopia: assessing the direction of causality by mendelian randomization – The BMJ Opinion (free) AND Myopia could be linked to longer periods spent in education – OnMedica (free) AND Highly Educated, Very Nearsighted? – The New York Times (10 articles per month are free)
See also: Summary of recommendations for clinicians and policy-makers (free)
Commentaries: Screening for impaired vision in older adults: New Canadian guideline – Canadian Medical Association Journal, via EurekAlert (free) Canadian Guideline Recommends Against Vision Screening of Older Adults in Primary Care Settings – NEJM Physician’s First Watch (free)
A Simple Way to Improve a Billion Lives: Eyeglasses – The New York Times (10 articles per month are free)
“It’s the biggest health crisis you’ve never heard of. Doctors, philanthropists and companies are trying to solve it”.
Uveal Effusion After Immune Checkpoint Inhibitor Therapy – JAMA Ophthalmology (link to abstract – $ for full-text)
Commentary: Ophthalmologists link immunotherapy with a serious eye condition – eCancer News (free)
n−3 Fatty Acid Supplementation for the Treatment of Dry Eye Disease – New England Journal of Medicine (free for a limited period)
Commentaries: Omega-3s From Fish Oil Supplements No Better Than Placebo for Dry Eye – NIH, National Eye Institute (NEI), via NewsWise (free) AND Fish oil capsules don’t help dry eye symptoms, study finds – STAT (free) AND Fish oil supplements ineffective against dry eye – Reuters (free)
Association of Vitamin A Supplementation With Disease Course in Children With Retinitis Pigmentosa – JAMA Ophthalmology (free for a limited period)
Commentary: Vitamin A Slows Progression of Retinitis Pigmentosa in Kids – MedPage Today (free registration required)
Doctors just used a brand new gene therapy to try to save a child’s vision – VOX (free)
“There is a catch: It costs $850,000”.
Grader Variability and the Importance of Reference Standards for Evaluating Machine Learning Models for Diabetic Retinopathy – Ophthalmology (link to abstract – $ for full-text)
Commentary: Google’s AI program: Building better algorithms for detecting eye disease – ScienceDaily (free)
Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning – Nature Biomedical Engineering (link to abstract – $ for full-text) (via @EricTopol see Very interesting Tweet)
Commentaries: Assessing Cardiovascular Risk Factors with Computer Vision – Google Research Blog (free) AND Google’s new AI algorithm predicts heart disease by looking at your eyes – TheVerge (free) AND Combination of AI, eye images could predict cardiovascular disease – Cardiovascular Business (free) AND It’s All in the Eyes: Google AI Calculates Cardiovascular Risk From Retinal Images – Medium (free)
Artificial Intelligence Promising for CA, Retinopathy Diagnoses – Physician’s Weekly (free)
Original Article 1: Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer – JAMA (link to abstract – $ for full-text) AND Commentary: Findings Show Potential Use of Artificial Intelligence in Detecting Spread of Breast Cancer – The JAMA Network (free)
Original Article 2: Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes – JAMA (link to abstract – $ for full-text) AND Commentary: Artificial Intelligence Detects Diabetic Retinopathy and Related Eye Diseases among Patients with Diabetes – The JAMA Network (free)
NICE Guideline: Cataracts in adults: management (free)
News release: Take a patient-centred approach to treating cataracts, says NICE (free)
Invited commentary: Global causes of vision loss in 2015: are we on track to achieve the Vision 2020 target? (free)
Related study: Magnitude, temporal trends, and projections of the global prevalence of blindness and distance and near vision impairment: a systematic review and meta-analysis – The Lancet Global Health (free) AND Invited Commentary: Universal eye health: are we getting closer? (free)
Association of Vision Loss With Cognition in Older Adults – JAMA Ophthalmology (link to abstract – $ for full-text)
Commentaries: Vision and Hearing Loss Are Tied to Cognitive Decline – The New York Times (10 articles per month are free) AND Visual impairment among older adults associated with poor cognitive function – Medical News Today (free)
USPSTF Recommendation Summary: Vision in Children Ages 6 Months to 5 Years: Screening (free)
Editorials: The 2017 US Preventive Services Task Force Report on Preschool Vision Screening – JAMA Ophthalmology (free) AND Vision Screening in Very Young Children—Making Sense of an Inexorable Diagnostic Process – JAMA Pediatrics (free)
Author interview: USPSTF Recommendation: Vision Screening in Children (free audio)
News release: Antioxidant vitamin and mineral supplements to slow down the progression of age-related macular degeneration (AMD) – Cochrane Library (free)
Related news release: Taking vitamin supplements may slow down the progression of a common eye disease – Cochrane Library (free)
Original articles: Antioxidant vitamin and mineral supplements for slowing the progression of age-related macular degeneration – Cochrane Library (link to abstract – $ for full-text) AND Antioxidant vitamin and mineral supplements for preventing age-related macular degeneration – Cochrane Library (link to abstract – $ for full-text)
Commentary: Antioxidants No Help for Age-Related Macular Degeneration – MedPage Today (free registration required)
Invited commentary: Universal eye health: are we getting closer? (free)
“Blindness is set to rise at an alarming rate reaching 115 million by 2050” (RT @UniMelbMDHS see Tweet)
Review: Endophthalmitis – Korean Journal of Ophthalmology (free)
Diabetic retinopathy: current understanding, mechanisms, and treatment strategies – JCI Insight (free)
“It affects 100 M people WW, but under-diagnosed/treated: excellent review of diabetes retinopathy” (RT @EricTopol see Tweet)
Obstructive Sleep Apnoea and Retinopathy in Patients with Type 2 Diabetes: A Longitudinal Study – American Journal of Respiratory and Critical Care Medicine (link to abstract – $ for full-text)
Commentary: Patients with Type 2 diabetes and OSA found to be at greater risk of developing diabetic retinopathy – News Medical (free)
Commentaries: Zika: Check All Potentially Exposed Infants for Eye Damage – Medscape (free registration required) AND Which Infants Exposed to Zika Virus Infection in Pregnancy Should Have Eyes Examined? – The JAMA Network (free)
“All infants with potential Zika virus exposure should have ophthalmic screening regardless of other abnormalities” (RT @PreetiNMalani see Tweet)
The End of Human Doctors – The Bleeding Edge of Medical AI Research (Part 1) – By Luke Oakden-Rayner (RT @pash22 see Tweet)
Original article: Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs – JAMA (free)
See more on the impact of artificial intelligence in healthcare in our April 28th issue, see #1, and in our April 10th issue, see #8
The End of Human Doctors – The Bleeding Edge of Medical AI Research (Part 2) – By Luke Oakden-Rayner (RT @pash22 see Tweet)
Original article: Dermatologist-level classification of skin cancer with deep neural networks – Nature (link to abstract – $ for full-text)
See more on the impact of artificial intelligence in healthcare in our April 28th issue, see #1, and in our April 10th issue, see #8
Automated Identification of Diabetic Retinopathy Using Deep Learning – Ophthalmology (free)
Source: Artificial Intelligence Shows Potential to Fight Blindness – NewsWise (free)
Related article: Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs – JAMA (link to abstract -$ for full-text)
Another study showing an artificial intelligence-based algorithm can be used with high reliability to screen for diabetic retinopathy, with cases referred to an ophthalmologist for further evaluation and treatment.
See more about how doctors might be affected by artificial intelligence in our April 10 issue, see #8.
Frequency of Evidence-Based Screening for Retinopathy in Type 1 Diabetes – New England Journal of Medicine (link to abstract – $ for full-text)
See also: Researchers Propose Extending Diabetic Retinopathy Screening Interval – Physician’s First Watch (free) AND Research from long-term study advocates individualized eye screenings in type 1 diabetes – Diabetes.co.uk (free)
In patients who have had type 1 diabetes for 5 years, annual retinal examinations are currently recommended. Based on their findings, the authors suggest an individualized screening schedule, with less frequent screening for patients at low risk and more frequent screening for patients at higher risk, leading to decreased cost without delaying the diagnosis of clinically significant disease.
Here’s why one tech investor thinks some doctors will be ‘obsolete’ in five years – CNBC (free) (RT @CMichaelGibson)
According to this point of view, radiologists will be the first ones that are affected by Artificial Intelligence. As we can see below, other specialists that work by interpreting medical images may follow, like dermatologists, ophthalmologists and pathologists.
See also: If You Look at X-Rays or Moles for a Living, AI Is Coming for Your Job – Wired (free) AND Adapting to Artificial Intelligence: Radiologists and Pathologists as Information Specialists – JAMA Viewpoint (free – and legal – PDF found with Unpaywall) AND Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs – JAMA Internal Medicine (link to abstract – $ required for full-text) AND Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features – Nature(free) see commentary in Computers trounce pathologists in predicting lung cancer type, severity, researchers find – Science News (free)
ACR Appropriateness Criteria Adds Topics, Covers More Clinical Variants Than Ever Before (free)
Browse Appropriateness Criteria Topics (free)
Source: Newswise
This comprehensive guide from American College of Radiology (ACR) covers 230 topics with more than 1,100 clinical indications and has just been updated. It is a very useful resource for doctors in all specialties to guide which exam is most appropriate in each clinical situation.
Implementation and Evaluation of a Large-Scale Teleretinal Diabetic Retinopathy Screening Program in the Los Angeles County Department of Health Services – JAMA Internal Medicine (free) (RT @PreetiNMalani)
Editorial: Seeing the Effect of Health Care Delivery Innovation in the Safety Net (free)
A large-scale telemedicine diabetic retinopathy screening program increased overall rates of screening by 16.3%, and wait times for screening were reduced by 89.2%.