What is the API Summit?

The API Summit continues its proud tradition of convening the foremost thought leaders and innovators in clinical laboratory and anatomic pathology informatics.

Each year, the Summit offers a comprehensive program of forward-thinking sessions across disciplines, including:
• Laboratory Medicine
• Anatomic Pathology
• Digital Imaging and Machine Vision
• Molecular and Genomic Pathology
• Operations and Business Analytics
• Education and Training
• Artificial Intelligence and Machine Learning
• Regulatory Issues and Standards
• And much more…

As digital pathology advances and laboratory-driven precision medicine transforms clinical practice, pathology informatics has become the central nervous system of modern healthcare. It governs how diagnostic data is generated, analyzed, and shared—directly shaping the flow of patients through the therapeutic process. From the moment a specimen is collected to the initiation of a targeted treatment plan, informatics ensures that information moves accurately, securely, and efficiently. The efficiency of this flow is essential to quality, impacting everything from diagnostic turnaround time to clinical decision-making and patient outcomes.

Target Audience
Physicians, Physician Assistants, Administrators, House Officers, Medical Students, Technicians, and Other Healthcare Professionals

General Conference Objectives
• Define the rapidly evolving field of Digital Pathology and explore opportunities for accelerated adoption of new workflow models leveraging machine learning, artificial intelligence, and integrated hardware solutions.
• Discuss foundational principles of business analytics, computational pathology, and AI integration to support diagnostic excellence and operational efficiency.
• Identify and evaluate software and hardware innovations through direct engagement with leading exhibitors.
• Recognize the technical, regulatory, and organizational requirements to successfully deploy informatics solutions in the clinical diagnostic environment.
• Present new research and scientific innovations in pathology informatics through competitive abstract sessions.
• Provide fundamental informatics education for residents and fellows.
• Deliver updated best practices in digital pathology validation and primary diagnosis.
• Explore methods to deploy and sustain large language models (LLMs) for clinical, educational, and research use.

Learning Outcomes
After completing this activity, participants will be able to:
1. Identify key trends in data science as applied to digital pathology and laboratory medicine.
2. Create new opportunities for data management, interoperability, and collaboration within healthcare enterprises
3. Strengthen their clinical informatics and operational efficiency competencies.
4. Initiate machine learning and AI tool development in their departments or divisions.
5. Identify and foster mentorship opportunities in pathology informatics.
6. Develop and expand research collaborations that drive innovation and precision diagnostics.
7. Understand how informatics-driven patient flow enhances the quality and timeliness of diagnosis and treatment.