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Artificial intelligence could prevent unnecessary tests in patients with chest pain

ANI 

A recent study showed (AI) may prevent 'unnecessary examination' in patients with stable chest pain, a frequent cause of visits to emergency departments and general practitioners.

The study was presented at The International Conference on Nuclear Cardiology and CT (ICNC) 2019.

Dr Marco Mazzanti, said, "We know that doctors overtest patients and ignore recommendations when a test justified about two-thirds of the time. Our 'super brain' decision support system, called does not advise unnecessary examinations."

ARTICA, which stands for for clinical Navigation, is a created by the researchers. It uses machine learning, a type of AI, to make decisions that adhere to recommended practice.

The study enrolled 982 patients with stable chest

The researchers compared decisions on which tests to perform made by a and by on the same day. advised no further testing in 658 (67 per cent) patients whereas a decided that only 45 (4.6per cent) patients did not need more tests.

A computed angiography (CTA) scan showed that 639 (97 per cent) of the patients ARTICA said did not need tests had no significant coronary artery disease, meaning the decision was correct. Avoiding these tests would save staff one hour and patients two hours on average.

Dr Mazzanti said, "AI has the potential to save costs and staff time by identifying patients with chest who do not have and therefore do not need expensive imaging."

"As doctors, we order a lot of tests which cost a lot of money and waste time. ARTICA is like a second set of eyes to make sure we follow recommendations," added Dr Mazzanti.

He noted that ARTICA recommended exercise testing or for 224 (23 per cent) patients while cardiologists recommended it for just 100 (10 per cent) patients.

"We know that when ARTICA says don't do a test it is almost 100 per cent right because the CTA scan confirmed no blocked arteries," said Dr Mazzanti.

"When ARTICA decides a test is needed, we are less certain that this is correct. By adding more data to the super brain these decisions will become more accurate and enable us to deliver more personalised care," Dr Mazzanti added.

(This story has not been edited by Business Standard staff and is auto-generated from a syndicated feed.)

First Published: Sun, May 12 2019. 19:20 IST
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