Saving Hearts Using Artificial Intelligence
By 2030, 40.5% of patients in the United States will have at least one cardiovascular illness, which will raise the total cost of cardiac care to over $818 billion. Artificial intelligence based strategies including machine learning, cognitive learning, and deep learning methods could help to accelerate differential diagnoses and contribute to stratify patients for personalized treatments. In this talk, I will discuss examples in the context of hypertrophic cardiomyopathy, diastolic dysfunction and predicting hospital readmission in the setting of cardiovascular medicine using machine learning approaches. I would also briefly discuss how integrating enterprise-level AI tools in a healthcare organization would help to build a learning health system (LHS). Collectively, such methods could improve the clinical outcomes and reduce the overall cost and optimize healthcare delivery.
Dr. Shameer Khader is the Program Director of Machine Learning & Data Science at Northwell Health, New York, USA. Previously he served as the Director of Bioinformatics (Data Science and Precision Medicine) at Philips Healthcare. He has also led clinical trials and genomic medicine research program at the Mayo Clinic and Mount Sinai Health Systems. He has published more than 50 peer-reviewed research papers and 30 conference publications in the area of healthcare data science, bioinformatics, drug discovery and precision medicine.