Industry Insights: The Digital Transformation of Pathology
November 17, 2025
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8 min
Prasanth Perugupalli, Vice President and General Manager of Digital Pathology at Evident, highlights the slow but steady digital transformation in pathology, driven by advancements in whole-slide imaging, AI, and automation. Despite historical challenges, new second-generation digital pathology solutions aim to enhance workflow efficiency and accuracy by integrating AI for quality assurance and optimized data capture. The future holds promise for automated imaging systems and seamless data integration that mimic clinical reasoning, crucial for expediting adoption in laboratories and improving patient care.
1. Digital pathology has faced slow adoption due to various challenges. 2. Advances in imaging and AI are bridging the gap to practical applications. 3. Second-generation systems automate quality control for efficiency. 4. AI is reshaping workflow and enabling more accurate diagnostics. 5. DICOM is emerging as a key interoperability standard in the field. 6. Partnerships between labs and pharmaceutical companies could revolutionize data use for patient safety and ethical research. 7. Automation and intelligent systems are critical for future advancements.
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