Dr. Amod Amritphale is leading the healthcare industry into the future with his research and advancement in modern medicine. By utilizing A.I., he is able to analyze a lot of data for the outcomes of procedures, the chance of patients needing readmission, and determining the risk of cardiovascular issues in people of various health backgrounds.
“Health care providers should consider using new machine learning algorithms and artificial intelligence methods to further enhance the depth of their research and to find answers that were earlier thought impossible. Cardiologists and clinicians should especially focus on Women’s Heart Health as that is a very important area that has not been given the attention and priority it deserves,” Dr. Amritphale informs.
Cardiovascular disease is the number one threat to women, claiming approximately one woman per minute or 1 in 3 women every year. “Ninety percent of women have at least one risk factor that could be used to point to heart disease developing in them, but there is a lack of awareness of the symptoms and physicians and patients could overlook them,” he explains.
“We have to develop better advocacy for women’s heart health because there are many preventable early deaths if we could catch the signs early,” Dr. Amritphale says. “A lot of women may have a treatable heart issue, but they may attribute it to anxiety/ stress and not seek appropriate care. ” As the director of the Women’s Heart Program at the University of South Alabama and the University Hospital in Mobile, Alabama, and as an Interventional Cardiologist, he can provide extensive literature for highlighting the issue. “I have taken up the onus to educate women of all ages to teach them the signs of heart disease and preventive methods so that they can seek help before it is too late,” he says.
What’s different about Dr. Amritphale’s methodology is that not only is he advocating for, treating, and making preventative changes for women and their risk of heart disease, but he is also doing so using computer algorithm programs that he designed. He is also the Director of Cardiovascular Research at the University. “I am involved in extensive research. My focus of research is “Use of Machine learning and Artificial Intelligence in making better decisions in the field of medicine” and I am also using national databases like HCUP. I use this program to develop algorithms that help identify patients who are at increased risk of bad outcomes so that we can preemptively identify them and help them before the worsening of disease processes occur. This helps people live better and live longer and prevents untimely or early death,” Dr. Amritphale says. This method is uniquely his, and he is revolutionizing how healthcare workers and researchers across the world can detect, treat, and determine cardiovascular treatment success with these programs he uses in daily practice.
With various cardiovascular treatments and surgical processes, Dr. Amritphale is able to detect and predict whether or not patients will need to return for an unplanned readmission with his artificial intelligence computer algorithm. From the abstract from his academic study, he and his team of researchers had successful results. “We present a novel deep neural network-based artificial intelligence prediction model to help identify a subgroup of patients undergoing carotid artery stenting who are at risk for short term unplanned readmissions. Prior studies have attempted to develop prediction models but have used mainly logistic regression models and have low prediction ability. The novel model presented in this study boasts 79% capability to accurately predict individuals for unplanned readmissions post carotid artery stenting within 30 days of discharge,” (Amritphale, A., Chatterjee, R., Chatterjee, S. et al. Predictors of 30-Day Unplanned Readmission After Carotid Artery Stenting Using Artificial Intelligence. Adv Ther (2021). https://doi.org/10.1007/s12325-021-01709-7).
Through his advancements in Artificial Intelligence, he is reducing the amount of penalties and cost that hospitals face with readmission. The financial impact is heavy on hospitals and this can reduce their effectiveness because of the treatment policies in place.
With this technological breakthrough and leadership, Dr. Amritphale is taking healthcare to an incredible level. By solving a number of issues in hospital and healthcare, he is able to provide more care in ways that were not thought possible.
