Event sponsored by:
AI Health
+DataScience (+DS)
Biostatistics and Bioinformatics
CTSI CREDO
Duke Clinical and Translational Science Award (CTSA)
Duke Clinical and Translational Science Institute (CTSI)
Electrical and Computer Engineering (ECE)
Pathology
Pratt School of Engineering
Contact:
Duke AI HealthSpeaker:
AI Health Fellows: Irene Tanner, MS, Hyeon Ki Jeong, PhD, Akhil Ambekar, MS, Gavin Karr, MS with host Silvana Lawvere de Moreno, PhD, MS Associate Director, AI Health Fellowship Program, AI Health
This seminar provides a practical guide to initiating and executing a computer vision analysis project, with examples from clinical imaging projects in pathology, orthopedics, and dermatology. This topic may be especially pertinent for data scientists, researchers, and practicing clinicians in specialties that use imaging data such as x-rays, whole slide images, and CT scans.
Please join us for this afternoon virtual seminar. The presentation will be accessible to a broad audience, including those with no prior background in health data science or artificial intelligence.