Documents – 4.3.2 | Pathology – AIiHC ORG

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4.3 | Diagnostic Imaging AI 4.3.2 | Pathology

4.3.2 | Pathology

Public AI in Clinical Domain

Public AI in Clinical Domain

Active 2 months ago

Purpose: AI tools for diagnostic assessment, treatment planning, and workflow automation... View more

Public AI in Clinical Domain

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Group Description

Purpose: AI tools for diagnostic assessment, treatment planning, and workflow automation in pathology.

Description: This group explores how AI is revolutionizing the analysis of tissue samples, whole slide images, and molecular data to enhance diagnostic accuracy, predict disease progression, and streamline laboratory operations.

Intended Use: For pathologists, lab technicians, AI developers, and researchers to discuss specific AI algorithms and digital pathology platforms impacting diagnostic pathology and research.

Limitations: Not for general AI model development (that’s 1.3). Not for broad hospital operations (that’s 4.8). Focus is on AI within the pathology domain.

Key Activities:Sharing case studies of AI-assisted cancer diagnosis from tissue biopsies.Discussing the performance and validation of AI tools for whole slide image analysis.Exploring AI’s role in automating lab processes and report generation.Debating the future of pathology with increasing digital and AI integration.

Potential Users: Clinician/Practitioner (Pathologists), AI Innovator/Developer, Academic/Researcher, Healthcare Leader/Administrator (Lab Management).

Possible Discussions: “AI for automated tumor detection and grading in digital pathology,” “Challenges of integrating AI into laboratory information systems (LIS),” “The impact of AI on turnaround times for pathology reports.”

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