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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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