YITU Healthcare, a Chinese AI startup, has claimed to have developed a system that uses natural language processing (NLP) to achieve an accuracy of up to 97% when diagnosing pediatric diseases. This puts the AI's capabilities on par with a trained doctor's when reading electronic health records and forming a diagnosis.
The company trained the system using 101.6 million data points from more than 1.36 million patient visits over an 18-month period. The NLP-enabled system is supported by a data model which integrates clinically relevant information and prior medical knowledge. It is able to diagnose a number of common pediatric diseases, recording an 97% rate diagnosing acute asthma exacerbations, 93% when diagnosing bacterial meningitis in addition to varicella (93%), influenza (94%) and roseola (93%).
Ni Hao, President of YITU Healthcare, explained that using AI can help doctors use large amounts of health data as well as helping them diagnose complex medical cases.
"Pediatric diseases can be tricky for doctors. An AI assistant will profoundly improve the diagnosis process and increase efficiency," Ni Hao remarked.
Earlier this year, the company, which was founded in 2012, launched the YITU Singapore Research and Development Center in Singapore following as part of its growing commitment to "deepen partnerships within the local AI ecosystem".
Dr Zhang Zhenjie, R&D Director of YITU Singapore, commented: "Following the launch of our YITU Singapore office a year ago, the opening of the YITU Singapore R&D Center marks a new milestone in YITU's AI journey and reflects our ongoing commitment to Singapore's AI community."