Artificial intelligence promises to expertly diagnose disease in medical images and scans. However, a close look at the data used to train algorithms for diagnosing eye conditions suggests these powerful new tools may perpetuate health inequalities. A team of researchers in the UK analyzed 94 data sets--with more than 500,000 images--commonly used to train AI algorithms to spot eye diseases. They found that almost all of the data came from patients in North America, Europe, and China. Just four data sets came from South Asia, two from South America, and one from Africa; none came from Oceania.

Artificial intelligence promises to expertly diagnose disease in medical images and scans. However, a close look at the data used to train algorithms for diagnosing eye conditions suggests these powerful new tools may perpetuate health inequalities. A team of researchers in the UK analyzed 94 datasets--with more than 500,000 images--commonly used to train AI algorithms to spot eye diseases. They found that almost all of the data came from patients in North America, Europe, and China. Just four datasets came from South Asia, two from South America, and one from Africa; none came from Oceania.

The advancement in science and medicine has helped save millions of lives up till now. The artificial intelligence is a modern technique of diagnosing pathologies with more accuracy than ever before. On 21th August, a study in the European Heart Journal published a methodology to diagnose heart disease. It suggests people pass on selfies to their respective doctors for analyzing their heart disease stage, if there is any, by using deep learning. The new deep learning has taken one-step forward in diagnosing Alzheimer's disease in its early stage.

The Mount Sinai Health System has established a new data science center to develop artificial intelligence and other applications to help diagnose and treat Covid 19.

It was a typical Saturday morning. Angela Watschke was shuffling some of her kids around four years ago while the others were at home. Her then-2-year-old daughter, Abrielle, was lying on the bed when she started slipping off as her eyes rolled back. The toddler was experiencing cardiac arrest. The color faded from Abrielle as her father performed CPR and called 911.

It was a typical Saturday morning. Angela Watschke was shuffling some of her kids around four years ago while the others were at home. Her then-2-year-old daughter, Abrielle, was lying on the bed when she started slipping off as her eyes rolled back. The toddler was experiencing cardiac arrest. The color faded from Abrielle as her father performed CPR and called 911.

Hundreds of millions of people around the world suffer from visual impairment. A new program from Microsoft utilizes machine learning techniques and artificial intelligence to help diagnose and treat the condition, according to a report from Mashable. Earlier this year, Microsoft teamed with the not-for-profit LV Prasad Eye Institute (LVPEI) in India, which provided the computing giant with access to more than one million anonymized medical records. Those records were tossed into Microsoft's cloud-based machine learning program and processed. The data gave Microsoft the ability to look through and analyze a wide range of procedures, providing a better understanding as to why a certain operation is chosen and the results of different surgeries for the eye patients.

It's not every day that you get to watch artificial intelligence in action. IBM Watson Health and the Radiological Society of North America teamed up on a project called "Eyes of Watson," on display at the RSNA conference this week in Chicago. The demonstration is meant to show radiologists how Watson evaluates X-ray images, from start to finish. When I stopped by earlier this week, the area was busy with people interested to compare what they saw in a scan to what Watson saw. To start, I was asked to pick which finding I saw in a particular image of a breast.