Artificial Intelligence (AI) for the Detection of Gastrointestinal Parasites Cases in Parasitology
Tracking # 20-1294662
Free
4.8
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Educator ARUP LABORATORIES
CE Broker Reporting Reported automatically
Method Computer-Based Training
Course overview
This presentation will explore the role of AI in select cases of parasitology along with future applications of AI moving forward. After this presentation, participants will be able to: discuss the theory of AI and how models are trained, recognize the role of AI in stool parasite detection for trichrome stains, and describe the future applications of AI in parasitology.
Subject areas
This course counts toward the state boards and subject areas below.
Florida Board of Clinical Laboratory Personnel
Clinical Laboratory Director
1h
General (Microbiology/Mycology/Parasitology)
Clinical Laboratory Supervisor
1h
General (Microbiology/Mycology/Parasitology)
Clinical Laboratory Technician
1h
General (Microbiology/Mycology/Parasitology)
Clinical Laboratory Technologist
1h
General (Microbiology/Mycology/Parasitology)
Public Health Director
1h
General (Microbiology/Mycology/Parasitology)
Public Health Supervisor
1h
General (Microbiology/Mycology/Parasitology)
Public Health Technologist
1h
General (Microbiology/Mycology/Parasitology)
Florida Board of Medicine
Anesthesiologist Assistant
1h
General (AMA Category I)
Area of Critical Need Medical Doctor
1h
General (AMA Category I)
Medical Doctor
1h
General (AMA Category I)
Medical Doctor Faculty Certificate
1h
General (AMA Category I)
Medical Doctor Limited License
1h
General (AMA Category I)
Medical Doctor Limited to Cleveland Clinic
1h
General (AMA Category I)
Medical Doctor Limited to Mayo Clinic
1h
General (AMA Category I)
Medical Doctor Public Health Certificate
1h
General (AMA Category I)
Medical Doctor Public Psychiatry
1h
General (AMA Category I)
Medical Doctor Visiting Faculty Certificate
1h
General (AMA Category I)