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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)

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)

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)

Review: An update on the use of biologic therapies in the management of uveitis in Behçet’s disease: a comprehensive review – Orphanet Journal of Rare Diseases (free)

Retrospective analysis of newly recorded certifications of visual impairment due to diabetic retinopathy in Wales during 2007–2015 – BMJ Open (free)

Commentaries: Diabetic sight loss cut by screening, research shows – BBC (free) AND Eye screening linked to fall in sight loss in people with diabetes – NHS Choices (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)

Review: Neonatal Retinoblastoma – Asia-Pacific Journal of Oncology Nursing (free)

Screening Criteria for Ophthalmic Manifestations of Congenital Zika Virus Infection – JAMA Pediatrics (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)

Update on Diagnosis and Treatment of Diabetic Retinopathy: A Consensus Guideline of the Working Group of Ocular Health (Spanish Society of Diabetes and Spanish Vitreous and Retina Society) – Journal of Ophthalmology (free)

Clinical Review: Differential diagnosis of neuromyelitis optica spectrum disorders – Therapeutic Advances in Neurological Disorders (free)

The Finnish national guideline for diagnosis, treatment and follow-up of patients with wet age related macular degeneration – Acta Ophthalmologica (free)

Review: Orbital retinoblastoma: An update – Indian Journal of Ophthalmology (free)

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 28^th issue, see #1, and in our April 10^th 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 28^th issue, see #1, and in our April 10^th issue, see #8

European Glaucoma Society Terminology and Guidelines for Glaucoma, 4th Edition – Part 1 (free)

European Glaucoma Society Terminology and Guidelines for Glaucoma, 4th Edition – Chapter 2: Classification and terminology (free)

European Glaucoma Society Terminology and Guidelines for Glaucoma, 4th Edition – Chapter 3: Treatment principles and options (free)

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%.

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