611 W. Union Street
Benson, AZ 85602
(520) 586-0800

Health Choice Integrated Care crisis Line
1-877-756-4090

NurseWise 24-Hour Crisis Line
1-866-495-6735

NAZCARE Warm Line
1-888-404-5530



SEABHS
611 W. Union Street
Benson, AZ 85602
(520) 586-0800

NurseWise 24-Hr Crisis Line
1-866-495-6735

NAZCARE Warm Line
1-888-404-5530


powered by centersite dot net

Getting Started
Here are some forms to get started. These can be printed and brought with you so that you can pre-fill out some known info ahead of time. More...


Medical Disorders
Resources
Basic InformationLookupsLatest News
First Drug to Treat Smallpox ApprovedVitamin D No Panacea for Brain DiseasesEczema Dramatically Impacts Quality of LifeTo Fend Off Migraines, Try Keeping a Headache DiaryAHA: Soccer Is Called the Beautiful Game, But Injuries Can Make It a Dangerous One100 Now Sickened by Salmonella-Tainted Honey Smacks CerealA 3-Pronged Plan to Cut Type 2 Diabetes RiskCan You Eat Your Way to Better Asthma Control?Are Concussions Tougher on Athletes With ADHD?Lyme-Bearing Ticks More Widespread in U.S. Than ThoughtHealth Tip: Shingles 101High Blood Pressure Threatens Aging Brain, Study SaysNeurological Fallout From Ebola Infection Worse Than ThoughtReport Warns of Dog Illness That Can Spread to OwnersHealth Tip: Caring for Your Epi-PenMore Evidence That Supplements Won't Help Your HeartHealth Tip: Asbestos Tips For HomeownersGerms Grow on Medical Implants, But Can They Make You Sick?FDA Drops Zika Testing for Blood Donors850 Million People Worldwide Have Kidney DiseaseAs Temperatures Soar, Study Warns of Fatal Heat Stroke at WorkFatigue Fuels Knee Injuries in Young AthletesWarming Climate, More AC -- and More Unhealthy Smog AheadHealth Tip: Understanding West Nile VirusCould Flea Fighters Stem Spread of Diseases Like Zika?Even Once-a-Week Pot Smokers Have More Cough, PhlegmZika Dangers During Pregnancy May Be Worse Than ThoughtHealth Tip: Use a Blood Thinner SafelyBeat the Heat on Your Summer VacationSitting Tied to Raised Risk of Death From 14 DiseasesCataract Surgery Tied to Fewer Car Crashes for Seniors'Walk & Think' Test Could Be Key to Concussion CareJuly Is Peak Time for Illness From Poop in Pools: CDCCould Estrogen Play a Role in Men's Migraines?Testing for Penicillin Allergy May Cut 'Superbug' Infection RiskFit at Midlife May Mean Healthier Brain, Stronger Heart LaterTab for Young Binge Drinkers May Be Heart Trouble LaterIs That iPad a Pain in the Neck?Health Tip: Things to Consider Before Allergy ShotsVitamin D Deficiency Could Be Lung Disease RiskRace Can Affect Many Skin ConditionsSome California Mosquitoes Can Carry Zika VirusHealth Tip: Managing Rheumatoid Arthritis2.5 Million U.S. High School Students Had a Concussion in Past YearMany With Severe Allergies Don't Carry an EpiPen: StudyHealth Tip: Understanding MonoParkinson's Meds Tied to Higher Rate of Gambling, Sex Addiction Than ThoughtIf Opioid Addicts Survive OD, Other Hazards Lie Ahead: StudyHealth Tip: Create a Food Allergy PlanHealth Tip: Learn Warning Signs of Heat Stroke
Questions and AnswersLinksBook Reviews
Related Topics

Cancer
Men's Health
Women's Health

Artificial Intelligence Promising for CA, Retinopathy Diagnoses


HealthDay News
Updated: Dec 12th 2017

new article illustration

TUESDAY, Dec. 12, 2017 (HealthDay News) -- A deep learning algorithm can detect metastases in sections of lymph nodes from women with breast cancer; and a deep learning system (DLS) has high sensitivity and specificity for identifying diabetic retinopathy, according to two studies published online Dec. 12 in the Journal of the American Medical Association.

Babak Ehteshami Bejnordi, from the Radboud University Medical Center in Nijmegen, Netherlands, and colleagues compared the performance of automated deep learning algorithms for detecting metastases in hematoxylin and eosin-stained tissue sections of lymph nodes of women with breast cancer with pathologists' diagnoses in a diagnostic setting. The researchers found that the area under the receiver operating characteristic curve (AUC) ranged from 0.556 to 0.994 for the algorithms. The lesion-level, true-positive fraction achieved for the top-performing algorithm was comparable to that of the pathologist without a time constraint at a mean of 0.0125 false-positives per normal whole-slide image.

Daniel Shu Wei Ting, M.D., Ph.D., from the Singapore National Eye Center, and colleagues assessed the performance of a DLS for detecting referable diabetic retinopathy and related eye diseases using 494,661 retinal images. The researchers found that the AUC of the DLS for referable diabetic retinopathy was 0.936, and sensitivity and specificity were 90.5 and 91.6 percent, respectively. For vision-threatening diabetic retinopathy, the AUC was 0.958, and sensitivity and specificity were 100 and 91.1 percent, respectively.

"In this evaluation of retinal images from multiethnic cohorts of patients with diabetes, the DLS had high sensitivity and specificity for identifying diabetic retinopathy and related eye diseases," Ting and colleagues write.

Several authors from the Bejnordi study disclosed financial ties to the pharmaceutical and medical device industries. Several authors from the Ting study hold patents related to the deep learning system used in the study.

Abstract/Full Text - Benjordi (subscription or payment may be required)
Abstract/Full Text - Ting (subscription or payment may be required)
Editorial (subscription or payment may be required)