Kareem Hosny, MD, MPH
Assistant Professor
Medical Director of Anatomical Pathology Informatics Division  
Head of Digital Pathology
Department of Laboratory Medicine and Pathology
University of Washington 

Objectives:

Speaker disclosures: 

1. Identify the current new technologies in digital pathology and how to use it.
2. Learn how to adapt to the new era of diagnostic medicine.
3. Distinguish the rules and guidelines of digital pathology, machine learning and Pathology AI and, machine learning.

Why Attend? 

In the new era of precision and preventive medicine, artificial intelligence had been integrated with all aspects of medicine. In particular, pathology informatics contributes to huge amount of discrete data in medicine. Additionally, the new shape of practicing anatomical pathology is changing due to the capabilities of machine learning to detect different histopathological features. We need to understand these substantial benefits and how to use them to improve the delivery of patient care.   

Meeting ID: 983 8715 9855

Passcode: PATHGR

You must sign-in on the following form to receive CME credit. Sign-in online: https://forms.gle/W2oE8d3MYbnyTDe58
 

Planning Committee Disclosure:

The following members have not had any financial relationships with any ineligible entities in the past 24 months: Drs. Rebecca Alvarez, Eleanor Chen, Austin Green, Jose Mantilla, Isaac Miller, Elizabeth Parker, Maria Tretiakova, and Larry True.

The following members disclose financial relations with ineligible entities within the past 24 months: Dr Shreeram Akilesh GoldfinchBio, Inc. (sponsored research) and NanoString, Inc. (sponsored travel); and Dr. Haodong Xu PathomIQ (consultant).

All relevant financial relationships listed have been mitigated.

Grant Acknowledgment:  None

The University of Washington School of Medicine is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.
 

The University of Washington School of Medicine designates this live activity for a maximum of 10.0 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity. (Each session is 1.0 credit)