Artificial Intelligence: A New Hope for Rare Diseases
Thursday, April 20 at 11:15 AM - 11:45 AM CT
South Building, Level 1 | S104
People living with a rare disease tend to have a clinical journey that spans years before an accurate diagnosis is given. Other rare disease patients, suffer needless crisis events that may have been prevented given appropriate medical intervention. The limited amount of patient data meant that artificial intelligence – a valuable tool to find patterns that aid clinical decisions in more common conditions – was previously unavailable to assist with shortening a diagnostic odyssey or to provide early warnings prior to a health crisis. Using new neural networks and a vast archive of healthcare data, a high precision predictor of rare disease outcomes is showing opportunity to improve care coordination and to shorten diagnostic odysseys.
Learning Objectives
- Describe the challenges of baseline artificial intelligence algorithms with rare disease
- Summarize the opportunities that AI provides as tools to improve care coordination and to make earlier outreach to rare disease patients
- Differentiate between traditional algorithms and how and a new neural network model has both accuracy and clinical explainability
Credits
ACPE, CME, CNE, CPHIMS, CAHIMS
Status
Active
Audience
Clinical Technologist, Nurse or Nurse Practitioner, Physician or Physician’s Assistant
ID
217
Speakers
