Commentary: Anti-CD19 MAb Trial Halted Early for Benefit in NMO – Medscape (free registration required)
News Release: WHO launches first World report on vision – World Health Organization (free)
Related: Performance of a Deep-Learning Algorithm vs Manual Grading for Detecting Diabetic Retinopathy in India – JAMA Ophthalmology (free) AND Google Launches Program in India to Screen Diabetics for Eye Conditions (studies and commentaries on the subject)
Commentaries: Antimetabolite Therapy for Uveitis: Methotrexate or Mycophenolate? – JAMA Ophthalmology (free for a limited period) AND Two commonly used uveitis drugs perform similarly in NIH-funded clinical trial – NIH News Releases (free)
Original Case Report: Blindness Caused by a Junk Food Diet – Annals of Internal Medicine ($ for full-text)
Other Commentaries: Teenager ‘blind’ from living off crisps and chips – BBC (free) AND Teenage boy goes blind after existing on Pringles, white bread and french fries – CNN (free)
Related: The Royal College of Ophthalmologists Guidelines on retinal vein occlusions: executive summary – Eye (free) AND Retinal Vein Occlusions Preferred Practice Pattern Guidelines – Ophthalmology (free PDF)
Effectiveness of Nursing Interventions to Prevent Dry Eye in Critically Ill Patients – American Journal of Critical Care (link to abstract – $ for full-text)
Related: Google Launches Program in India to Screen Diabetics for Eye Conditions (studies and commentaries on the subject)
Commentary: Cascades Of Care – American Council on Science and Health (free)
Related: Evaluation of an Intervention to Reduce Low-Value Preoperative Care for Patients Undergoing Cataract Surgery (link to abstract and commentary) AND Systematic Review: Routine Preoperative Medical Testing for Cataract Surgery (free)
Related Commentary on Twitter (thread – click for more)
Excited to share our work in @JAMAInternalMed TLDR: We looked at downstream cascades of care after low-value preoperative EKG for cataract surgery. 5-11 events/100 patients in following 90 days cost 10x more than initial EKGs. THREAD (1/7) https://t.co/LFYDsi7uyM #ARM19
— Ishani Ganguli MD, MPH (@IshaniG) June 3, 2019
Effect of Initial Management With Aflibercept vs Laser Photocoagulation vs Observation on Vision Loss Among Patients With Diabetic Macular Edema Involving the Center of the Macula and Good Visual Acuity: A Randomized Clinical Trial – JAMA (free for a limited period)
See also: Visual Abstract
Commentaries: Laser trabeculoplasty as first-line glaucoma treatment – The Lancet (free) AND 15-minute laser is best treatment for glaucoma patients, says study – The Guardian (free) AND 15-minute laser treatment best for glaucoma – OnMedica (free)
See also: Launching a powerful new screening tool for diabetic eye disease in India – Verily (free) AND Google, Verily develop AI algorithm to detect diabetic eye disease from imaging exams – HealthImaging (free)
Related Studies: Clinically Applicable Deep Learning for Diagnosis and Referral in Retinal Disease (free study and commentaries) AND Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes – JAMA (free) AND Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning (link to abstract and commentaries)
Quality Standard: Serious Eye Disorders – National Institute for Health and Care Excellence (free)
Related Guideline: Glaucoma: diagnosis and management – National Institute for Health and Care Excellence (free)
Commentary: How often should patients with T2D be screened for retinopathy? – Univadis (free registration required)
Related: Evidence‐based Guidelines for Screening of Diabetic Retinopathy (free)
“This review supports lengthening of the screening interval of patients with Type 2 diabetes without retinopathy at last screening session”
“There is solid evidence to support a flexible, individualized screening regimen. In particular, it is possible to prolong screening intervals to 24–48 months for patients with no or mild nonproliferative diabetic retinopathy”.
“This review has shown that routine preoperative testing does not increase the safety of cataract surgery.”
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)
Commentaries: Strengthening eye health evidence for children in low-income and middle-income countries – The Lancet Global Health (free) AND App screening boosts children’s eye health – Medical Health News (free)
Association of Cataract Surgery With Traffic Crashes – JAMA Ophthalmology (link to abstract – $ for full-text)
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”.
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)
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)
Commentary: Vitamin A Slows Progression of Retinitis Pigmentosa in Kids – MedPage Today (free registration required)
“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)
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)
Commentaries: Air gun eye injuries rise 169% among kids, study finds – CNN (free) AND Nonpowder gun-related pediatric eye injuries on the rise – 2 Minute Medicine (free) AND More kids getting eye injuries from paintball and pellet guns – Reuters (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)
See also: Executive Summary (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)
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)
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)
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
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
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.
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)
Browse Appropriateness Criteria Topics (free)
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%.