AI Algorithm Diagnosis is Accurate in over 99% of the cases
AI Tool was 99.6% accurate, performed well across populations
A computer algorithm developed using artificial intelligence accurately distinguished real heart attacks from false alarms, according to an emergency room study that offers a way for overburdened doctors to focus on the sickest patients.
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AI Algorithm Raises Heart Attack Diagnosis Accuracy in UK Study
A computer algorithm developed using AI accurately distinguished real heart attacks from false alarms, according to a study published in Nature, via Bloomberg#ai #Algorithms https://t.co/iEKMwmuj8q
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Bloomberg on AI diagnosis tools
The algorithm was able to accurately rule out a heart attack in nearly all patients, according to the study published Thursday in Nature Medicine.
The tool, tested in more than 10,000 patients in six countries, was 99.6% accurate in ruling out patients who weren’t suffering from heart attacks, and performed well across different ages and genders.
Rapidly developing AI technologies are gaining traction in health care, aiming to streamline processes from drug development to direct patient care.
Pharmaceutical companies are investing heavily in such tools to discover new drugs at a faster pace, and some experts are predicting applications for programs like ChatGPT in medical education, patient management and other areas.
The AI algorithm, CoDE-ACS, combines protein levels with individualized information such as age, sex, electrocardiogram results and medical history, to determine the probability of a severe event.
“Harnessing data and artificial intelligence to support clinical decisions has enormous potential to improve care for patients and efficiency in our busy emergency departments,” he said.
