The photo has been used for illustrative purposes.
According to the study, published in the European Heart Journal, the algorithm has the potential to be used as a screening tool that could identify possible heart disease in people in the general population.
"To our knowledge, this is the first work demonstrating that artificial intelligence can be used to analyse faces to detect heart disease," said study author Zhe Zheng from Peking Union Medical College in China.
This could be a cheap, simple and effective of identifying patients who need further investigation. However, the algorithm requires further refinement and external validation in other populations and ethnicities."
For the findings, the research team enrolled 5,796 patients from eight hospitals in China to the study between July 2017 and March 2019.
The patients were undergoing imaging procedures to investigate their blood vessels, such as coronary angiography or coronary computed tomography angiography (CCTA).
They were divided randomly into training (5,216 patients, 90 per cent) or validation (580, 10 per cent) groups.
Trained research nurses took four facial photos with digital cameras: one frontal, two profiles and one view of the top of the head. They also interviewed the patients to collect data on socioeconomic status, lifestyle and medical history.
Radiologists reviewed the patients' angiograms and assessed the degree of heart disease depending on how many blood vessels were narrowed by 50 per cent or more and their location.
This information was used to create, train and validate the deep learning algorithm.
The researchers then tested the algorithm on further 1,013 patients from nine hospitals in China, enrolled between April 2019 and July 2019. The majority of patients in all the groups were of Han Chinese ethnicity.
They found that the algorithm outperformed existing methods of predicting heart disease risk.
In the validation group of patients, the algorithm correctly detected heart disease in 80 per cent of cases and correctly detected heart disease was not present in 61 per cent of cases.
"However, we need to improve the specificity as a false positive rate of as much as 46 per cent may cause anxiety and inconvenience to patients, as well as potentially overloading clinics with patients requiring unnecessary tests," the authors wrote.
Indo-Asian News Service
For the study, the team of investigators looked at the records of 4,126 patients, with 3,208 daytime cases of sudden cardiac arrest and 918 night-time cases. Compared with daytime cases, patients who suffered from night-time cardiac arrest were more likely to be female.
"This case is rare and is considered life-threatening case that must be dealt with promptly, otherwise it would result the patient life at big risk.” Dr Sameer Diwale stated. He added that "Bentall surgery is one of the most complicated open-heart surgeries, but it is life-saving if it is performed in time."
Local authorities promised to award the doctors who continued with the operation and the firefighters who extinguished the blaze. Firefighters who took more than two hours to put out the blaze said they used fans to keep smoke out of the operating room.
The 16-year-old raided her mother’s closet and wore the shimmery silver dress by Elie Saab Couture, which Jolie wore during the 2014 Academy Awards.
Breast cancer is the most common form of cancer in women, and accounts for almost 30 per cent of the entire cancer burden reported among women.
With the help of two of his sons and his brother, all of whom live in Austria, Rahimi transported items from his personal collection at his own expense.