Can AI identify congenital cataracts, prevent blindness in children?

An article in Nature Biomedical Engineering explores how researchers are developing an artificial intelligence platform to diagnose and treat congenital cataracts, a rare disease that causes permanent vision loss.

The research team — led by Erping Long and Haotian Lin of Guangzhou, China-based Sun Yat-sen University — developed CC-Cruiser, an AI platform that uses deep learning to risk stratify populations for screening, diagnose patients for the disease and provide clinical support to ophthalmologists making treatment decisions.

The researchers launched a multihospital clinical trial to validate the utility of CC-Cruiser and are working to compare the AI platform's performance with trained ophthalmologists. The team wrote that the trial will "explore the management of rare diseases and the cloud-based AI platform for providing medical suggestions for non-specialized hospitals."

"The collaborative platform could be extended to the management of other rare diseases, and should be validated in different clinical scenarios," they wrote.

More articles on health IT:
'Watson for Oncology' debuts in US
Accenture forecast: 'AI is the new UI'
Penn Medicine uses data analytics to drive cancer-focused urgent care

© Copyright ASC COMMUNICATIONS 2019. Interested in LINKING to or REPRINTING this content? View our policies by clicking here.

 

Top 40 Articles from the Past 6 Months