News

Though AI systems have shown promise for detecting skin cancer, more work is needed before they can be utilized in “real world” applications, according to researchers at the 2019 American Academy of Dermatology annual meeting in Washington, D.C.

OOVA, a Mount Sinai Health System spinout and diagnostic device company, is piloting an AI-based fertility tool that measures and monitors the concentrations of luteinizing hormone and progesterone—two key fertility hormones. The program is being piloted in collaboration with Thorne Research.

Researchers at the University of California, San Francisco found Google Translate, Google’s AI-based app, can help non-English speaking patients and their providers. However, it's not perfect, according to research published in JAMA Internal Medicine.

A new machine learning-based system, detailed in the journal Frontiers in Neurology, screens children for fetal alcohol spectrum disorder (FASD) in a quick and more cost-efficient way. The system was developed by researchers at the University of Southern California, Queen’s University in Ontario and Duke University, and will be accessible to children in more remote areas of the globe. 

An AI-based sepsis screening tool could better help physicians find patients most at risk of developing the illness after it outperformed other traditional screening methods, according to a study published in the Annals of Emergency Medicine.

Multinational investment holding conglomerate Tencent is working with the Shanghai Cancer Center to establish an AI-based, big data laboratory to streamline the cancer treatment process, according to a report by Shine, a digital news organization under Shanghai Daily.

Researchers have developed a machine learning system that predicts the severity of arthritis in a pediatric population, allowing for treatment to be personalized. Findings of their research were published in PLOS Medicine.

As the number of diabetes cases continues to rise in India, Google and Verily, the life sciences research organization under Alphabet, have a solution to better screen for the disease and associated eye diseases.

The U.K. Department of Health and Social Care recently issued a new code of conduct for AI systems in an effort to ensure that only the topmost and safest AI-based systems are used by the National Health Service (NHS). 

After seeing success from its AI-powered healthcare bot, Ohio-based healthcare technology company Olive is planning to add 100 tech jobs within the next two years, according to a report by Columbus Business First.

Though the use of AI is still in early stages, its wide-reaching potential is expected to be felt by all industries in the near future. The technology is expected to contribute up to $15.7 trillion to the global economy by 2030, according to a PwC global AI study.

Researchers at the University of Alberta have developed a new AI-based software––Ensemble Algorithm with Multiple Parcellations for Schizophrenia Prediction, or EMPaSchiz––that will allow physicians to identify schizophrenia in fMRI scans with 87 percent accuracy. Their research was published in NJP Schizophrenia.