Telehealth + Artificial Intelligence: A Clear Synergy to Increase Effectiveness of Screening in Primary Care
Artificial intelligence (AI) programs have recently been shown to be more accurate than human experts in diagnosing diseases such as diabetic retinopathy. Real-world experiences with autonomous AI, however, have been discouraging due to high false positive rates, the inability to accommodate real-world data from diverse patients, and limited diagnostic output (often just a yes or no for a specific disease). AI, which is designed to work with human experts, overcomes these shortcomings and improves outcomes by shortening the time that it takes to intervene in patients who need prompt treatment. Telehealth + AI programs provide the depth and breadth of human experts while enabling immediate intervention for patients who are at high risk of complications. Presented by: Jorge Cuadros, OD, Ph.D., Clinical Professor, and CEO | University of California, Berkeley, Meredith Morgan Optometric Eye Center, and EyePACS Inc. Learning
Objectives:
- Gain knowledge of recent studies regarding the advantages and shortcomings of real-world AI programs
- Have an evidence-based understanding of how telehealth + AI programs can improve outcomes for patients with complications of chronic disease
- Understand the billing and reimbursement advantages of telehealth + AI
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