AI Helps Doctors in the Decision-Making Process
Mon, October 25, 2021

AI Helps Doctors in the Decision-Making Process

Shukun Technology uses algorithms to model human hearts and diagnose heart disease / Credits: Blue Planet Studio via Shuttersock

 

The healthcare sector is among the industries that have benefited from the emergence of artificial intelligence. With AI, medical professionals have diagnosed diseases faster and more accurately, and created better drugs. China is a great testament to this. A 2017 Report on Cardiovascular Diseases in China by the National Center for Cardiovascular Diseases revealed that the country had more than 290 million cardiovascular disease patients. Of this figure, three million die every year.

This is what Chinese AI startup firm Shukun Technology was established for as it specializes in the diagnosis of a cardiovascular-related disease. According to China Daily, an English-language daily newspaper owned by the Publicity Department of the Communist Party of China, Shukun uses data, along with software and algorithms, to model human hearts and diagnose heart disease. More than 42 cities across the country are currently benefiting from this, assisting many people in cardiovascular disease diagnosis. 

"We use software, database and machine learning algorithms to make diagnosis more accurate. We hope the products will help doctors make better diagnoses and plan surgery faster than they can now,” said Anne Ma, Shukun's co-founder and CEO. 

This is just one of the many examples of how AI helps the industry. A recent study conducted by the University Hospitals Birmingham NHS Foundation Trust in the UK reported that AI helps human experts when it comes to making medical diagnoses based on images. The technology can free up time for doctor-patient interactions and even aid in the development of tailored treatment. 

The Radiological Society of North America (RSNA), an international society of radiologists, medical physicists and other medical professionals, recently displayed its latest solutions that were made possible through a single AI-enabled platform. This includes bringing diagnostic radiology, mammography, and cardiology together on the server-side and enabling immediate interaction with these modality imaging data sets. 

"We are showing our commitment to progressing AI technology to empower physicians to make more efficient and impactful care decisions," said Bill Lacy, vice-president for medical informatics at Fujifilm, said.