In recent years, we have witnessed developments in artificial intelligence (AI) that ‘make even doctors jealous’. In this article, we will take a look at some research published in 2019.

Google Developed an Artificial Intelligence That Detects Lung Cancer Better Than Doctors

Google researchers, working with Northwestern Medicine, succeeded in creating an artificial intelligence that detects lung cancer in humans more accurately. A deep learning algorithm was used to train this system, which interprets computed tomography (CT) scans and predicts the likelihood of contracting the disease. The research of Daniel Tse, product manager at Google Brain, was published in the journal Nature Medicine on May 20.

Genes causing autism discovered

A research team recently revealed new genetic mutations associated with autism in certain regions of DNA using artificial intelligence. Scientists used deep learning technologies to analyze how some regions in our genes that seem ‘junk’ can affect what certain genes produce. The research was published in Nature Genetics on May 27.

Researchers Use Machine Learning and Wearable Sensors to Detect Heart Disease

Researchers recently developed an artificial intelligence capable of detecting a specific cardiovascular disease using a wearable wrist biosensor. By using machine learning and a wearable sensor, they developed a potentially non-invasive and widely available tool to identify the disease. The research was published in Digital Medicine on June 24.

Using machine learning and artificial intelligence to detect schizophrenia

Recent innovations in artificial intelligence technology have enabled researchers to better detect psychosis in patients. The use of deep learning and artificial intelligence on brain functions using functional magnetic resonance imaging (fMRI) has shown groundbreaking developments regarding schizophrenia and mental illnesses. Of the 2 articles in the journal Nature on the subject, one was published on January 18 and the other on June 13 .