Clinical-Grade Artificial Intelligence (AI) for Your Pathology Lab: What’s Ready Now, What’s Coming Soon, and How Pathologists Can Profit from Its Use

Pathologists have learned a great deal from the “early AI digital fellow,” but have they gained a comfort level with putting AI to work in their clinical practice?

Artificial intelligence is poised to transform surgical pathology. The latest generation of image-analysis algorithms demonstrates the capability to reliably analyze a digital pathology image and produce a clinically acceptable diagnostic answer. 

This development has profound implications, particularly for mid-sized and smaller community hospital-based pathology groups:

First, the era of glass slides and light microscopes is about to end. Fully digital pathology practice based on whole slide images, automated image analysis solutions, and a digital pathologist workstation usher in a new era.

Second, community pathology groups that incorporate AI-powered image analysis into their daily practice will find it easier to win new clients, increase the number of specimen referrals, build new revenue streams, and increase pathologist compensation.

To help pathologists and lab executives understand artificial intelligence, Dark Daily scheduled a vital webinar, Clinical-Grade Artificial Intelligence (AI) for Your Pathology Lab: What’s Ready Now, What’s Coming Soon, and How Pathologists Can Profit from Its Use. The webinar will be available via premium live access Thursday, June 17, 2021 at 1 pm EDT and on-demand after that. DVD purchase available at additional cost.

Special offers for teams! Because so many pathologists are working remotely, Dark Daily has arranged special group rates for pathology practices. Email info@darkreport.com or call Amanda Curtis at 512-264-7103 for additional information or to register your team.

For pathology groups serving community hospitals, the arrival of automated image analysis will be both a threat and an opportunity

Whole slide images and digital pathology systems have been around for 15 years, particularly in academic pathology settings. However, what is new and transformational is the arrival of image analysis algorithms powered by the latest generation of artificial intelligence. 

For the first time in history, these AI-powered solutions will be capable of analyzing a digital pathology image and producing a diagnostic answer comparable to the accuracy and quality of an experienced anatomic pathologist, presenting both a threat and an opportunity:

The Threat: Pathology groups that are slow to acquire and use AI-powered image analysis solutions will lose market share and revenue when referring physicians send their biopsies to pathology groups that quickly incorporated AI solutions into their daily clinical practice.

The Opportunity: Innovative community pathology practices incorporate AI-powered image analysis tools into their daily clinical practice and use them to achieve two critical goals:

• Improve the productivity, accuracy, and consistency of the group’s pathologists. 
• Win new clients, increase specimen referrals that generate more revenue, and lift individual pathologists’ compensation.
  

This webinar, Clinical-Grade Artificial Intelligence (AI) for Your Pathology Lab: What’s Ready Now, What’s Coming Soon, and How Pathologists Can Profit from Its Use, will guide pathologists through the essentials of implementing AI in digital pathology and clinical practice—including how to fund your investment. This virtual workgroup discussion featuring an expert power panel—from practicing clinical pathologists to computer scientists—takes place Thursday, June 17, from 1-2:30 pm EDT.

Get specific guidance from experts on how to incorporate AI digital pathology in your practice

The outcomes of early AI applications in digital pathology are significant. For example, the benefits include:

• Reducing time to diagnosis, which can give community pathology groups a competitive advantage;
• Calling out areas of interest for the pathologist to review, ensuring a complete review of the image; and 
• Creating uniform practices in distributed group pathology practices to reduce variation and improve quality and accuracy in ways that minimize malpractice premiums. 

Ajit Singh, PhD, Adjunct Professor at the Stanford School of Medicine and Partner at Artiman Ventures, will chair and moderate Clinical-Grade Artificial Intelligence (AI) for Your Pathology Lab: What’s Ready Now, What’s Coming Soon, and How Pathologists Can Profit from Its Use. Joining Dr. Singh for the workgroup discussion about the foundational pillars for accepting AI in digital pathology and clinical practice are:

• Michael D. Feldman, MD, PhD, Vice Chairman Clinical Services in the Department of Pathology and Laboratory Medicine at the University of Pennsylvania School of Medicine
• Chaim Linhart, PhD, CTO and Co-Founder of Ibex Medical Analytics, from the Tel Aviv Area of Israel
• Professor David Snead, Consultant Pathologist at the University Hospitals Coventry and Warwickshire NHS Trust, Professor of Pathology Practice at the University of Warwick, and Founding Director of PathLAKE, a United Kingdom-based network of five centers of excellence in digital pathology
• Mahul B. Amin, MD, Vice President and Medical Director of the West Division of LabCorp and Clinical Professor of Urology and Pathology and Laboratory Medicine at the USC Keck School of Medicine and the University of Tennessee Health Science Center

Webinar takeaways

• Learn what’s different about artificial intelligence, machine learning, and digital image analysis.
• Understand why AI-powered solutions for prostate cancer are expected to be the first to automate the primary diagnosis of prostate cancers fully.
• Assess the near-term potential of AI-powered image analysis to disrupt dermatopathology diagnoses.
• Predict the speed of the adoption curve of AI in daily community pathology practice.
• Differentiate from AI that can call areas of interest from AI that can perform primary diagnosis comparable to the current standard of care. 
• Distinguish how AI-powered image analysis can improve QC systems in ways that double your pathologists’ accuracy.

Who should attend?

• Surgical pathologists
• Pathology practice administrators
• Pathology company executives
• Academic center pathologists and administrators
• Researchers involved with digital pathology images in pharma and other settings
• Vendors developing AI solutions and products

Your registration includes:

• A site license to attend the webinar. Invite as many members of your team as you would like!
• The opportunity to pose specific questions and connect directly with speakers during a Q&A session
• Access to the post-webinar recording
  

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