Digital Pathology
As healthcare embraces digital transformation, pathology is entering a new era—one where slides become data and diagnostics become dynamic. This Digital Pathology certification course is crafted for professionals ready to bridge the gap between the microscope and machine learning.
Format
Online/Offline
Course
Accreditation
GHA Certified
Duration
2 Months
Price
₹ 15000+ 18% GST
About the course
As healthcare embraces digital transformation, pathology is entering a new era—one where slides become data and diagnostics become dynamic. This Digital Pathology certification course is crafted for professionals ready to bridge the gap between the microscope and machine learning. With a focus on virtual imaging, AI integration, and real-world clinical workflows, the program blends foundational knowledge with future-ready applications.
Participants will gain the confidence to navigate, implement, and innovate within digital pathology—positioning themselves at the forefront of data-driven diagnostics.
Learning Objectives:
Learning Outcomes:
Eligibility Criteria:
Participants will gain the confidence to navigate, implement, and innovate within digital pathology—positioning themselves at the forefront of data-driven diagnostics.
Learning Objectives:
- To introduce the evolution and core concepts of digital pathology.
- To provide knowledge of whole slide imaging (WSI), digital scanners, and imaging principles
- To familiarize learners with image analysis tools and open-source platforms
- To introduce the role of AI and machine learning in pathology diagnostics
- To explain workflow design, data management, and LIS integration
- To create awareness of regulatory frameworks, ethical standards, and data privacy in digital pathology
- To provide foundational knowledge for developing and validating AI models in clinical pathology
Learning Outcomes:
- Demonstrate proficiency in handling digital pathology tools and WSI systems
- Analyze pathology images using software and interpret results accurately
- Integrate digital pathology into routine lab workflows, including LIS connectivity
- Identify appropriate AI techniques for pathology tasks and collaborate with data teams
- Evaluate and comply with international regulatory and ethical standards in digital pathology
- Develop a basic AI algorithm using clinical image data and assess its diagnostic relevance
- Contribute to digital transformation initiatives in clinical or research settings
Eligibility Criteria:
- Practicing Pathologists
- Histology and Cytology Technicians
- Digital Scanning Technicians
- Pathology Residents and Assistants
- Research Scientists and Educators
- Algorithm and Software Engineers working in medical imaging
- Laboratory Informatics Specialists and personnel responsible for digital pathology workflows