- Researchers applying artificial intelligence to electrocardiogram data estimated the age group of a patient and predicted their gender.
- Artificial intelligence could more accurately track overall health status by determining ‘physiologic age’ – distinct from chronological age.
In the near future, doctors may be able to apply artificial intelligence to electrocardiogram data in order to measure overall health status, according to new research published in Circulation: Arrhythmia and Electrophysiology, a journal of the American Heart Association.
An electrocardiogram, also known as an EKG or ECG, is a test used to measure the electrical activity of the heart. While it’s known that a patient’s sex and age could affect an EKG, researchers hypothesized that artificial intelligence could determine a patient’s gender and estimate their ’physiologic age’ — a measure of overall body function and health status distinct from chronological age.
Using EKG data of almost 500,000 patients, a type of artificial intelligence known as a convolutional neural network was trained to find similarities among the input and output data. Once trained, the neural network was tested for accuracy on the data of an additional 275,000 patients by predicting the output when only given input data.
The neural network estimated a patient’s chronological age as higher after experiencing adverse health situations such as heart attack, low ejection fraction and coronary artery disease, and lower age if they experienced few or no adverse events.
“While physicians already consider whether a patient ‘appears [their] stated age’ as part of their baseline physical examination, the ability to more objectively and consistently assess this may impact healthcare on multiple levels,” said study author Suraj Kapa, M.D., assistant professor of medicine and director for Augmented and Virtual Reality Innovation at Mayo Clinic in Rochester, Minnesota.
“Being able to more accurately assess overall health status may help doctors determine which patients they should examine further to determine if there are asymptomatic or currently silent diseases that could benefit from early diagnosis and intervention. For people at large, an AI-enhanced electrocardiogram could better show there may be something going on such as a new health issue or comorbid condition that they were otherwise unaware of,” continued Kapa.
Researchers discovered that the artificial intelligence was able to accurately determine a patient’s gender 90% of the time and could determine the chronological age group of a patient with 72% accuracy.
“This evidence — that we might be gleaning some sort of ‘physiologic age’ — was certainly both surprising and exciting for its potential role in future outcomes research, and may foster a new area of science where we seek to better understand the biologic underpinnings of such a finding,” Kapa said.
While the study was able to draw from a large sample size, all individuals in the study were patients, and EKGs were administered for another clinical indication. Future studies with an overtly healthy population are needed to revalidate the neural network’s determination. Additionally, gender in the study was self-identified by patients and may not represent the sex of all individuals in the study.
The Latest on: Physiologic age
via Google News
The Latest on: Physiologic age
- Verbal Neuromodulation: Old Wine in a New Bottleon October 28, 2019 at 2:21 pm
Although neuromodulation can influence many non-psychiatric conditions, one tantalizing hope is that by modifying critical brain physiology and the connectome we may someday attack the root causes of ...
- Kyle Caires knows cows, brings his knowledge to UH-MCon October 26, 2019 at 7:50 am
When Caires joined 4-H at the age of 9, turned out he was a natural, too. A King Kekaulike graduate, Caires got his Bachelor of Science degree in animal science from Oregon State, his Master of ...
- Obesity in mums can cause babies to age quicker says studyon October 22, 2019 at 1:29 am
OBESITY among mums can impact the health of their children and make them age quicker, according to new research ... can be passed along to babies says research newly published in The Journal of ...
- Quantification of fat in the posterior sacroiliac joint region: fat volume is sex and age dependanton October 17, 2019 at 2:23 am
The hypotheses of this study were (1) fat is consistently present in the PSIJ and is a physiological characteristic, and (2) the amount of fat presence increases with age and there is no difference ...
- Age-related frailty and the growing health burden: what can be done?on October 16, 2019 at 2:48 pm
Another diagnostic criterion involved the frailty index that sums up cumulative age-linked diseases and disabilities ... hormonal imbalances, and alterations in physiological functions.
- The Physiological Society urges government step change to meet its own Ageing Society targeton October 15, 2019 at 9:45 am
The step change required to meet the government's target will require putting physiological research at the heart of the response. Physiological research into the processes underpinning ageing and age ...
- Mayo Clinic researchers develop AI to measure physiological health from ECGon August 28, 2019 at 2:24 pm
the researchers hypothesized that the AI-predicted age may in fact represent more of a "physiological age," and thus a measure of overall health. For example, many of the patients for whom the AI ...
- Artificial Intelligence Mines ECG Data to Estimate ‘Physiologic Age’on August 27, 2019 at 1:04 pm
New artificial intelligence (AI) research indicates that potentially actionable health information gleaned from this simple test can be used to estimate a “physiologic age” and maybe even to prevent ...
- Artificial intelligence could use EKG data to measure patient’s overall health statuson August 26, 2019 at 5:00 pm
While it’s known that a patient’s sex and age could affect an EKG, researchers hypothesized that artificial intelligence could determine a patient’s gender and estimate their ’physiologic age’ — a ...
- Different physiological mechanisms underlie an adverse cardiovascular disease risk profile in men and womenon August 22, 2019 at 4:31 am
The Nutrition Society Paper of the Month for August is from Proceedings of the Nutrition Society and is entitled ‘Different physiological mechanisms underlie ... and older women are more likely ...
via Bing News