Innovations in Diagnostics: AI-Enhanced Pathology Research in South Africa
Johannesburg – The National Health Laboratory Service (NHLS) has announced a major initiative centered around artificial intelligence (AI) in pathology research, aimed at improving diagnostic accuracy, reliability, and effectiveness in South Africa’s public health system.
This initiative forms a key part of the NHLS’s broader strategy to modernize laboratory medicine and utilize innovation to better patient outcomes.
A primary focus lies in haematopathology, where assessing plasma cell burden is crucial for diagnosing and monitoring conditions such as multiple myeloma.
Traditionally, this evaluation required considerable manual effort and was prone to variability among observers, particularly when plasma cells are limited or unevenly distributed in bone marrow samples.
These challenges highlight the need for advanced tools that enhance reproducibility, diagnostic reliability, and the overall standard of patient care.
The research is in line with the NHLS’s five-year strategic plan, which emphasizes the adoption of innovative technologies within laboratory systems.
In this landscape, AI is becoming a key driver of laboratory modernization, providing healthcare professionals with sophisticated instruments that improve workflow efficiency, reduce manual workloads, and bolster standardization.
Importantly, the NHLS emphasizes that AI is designed to assist rather than replace laboratory professionals, with expert interpretation and clinical supervision remaining essential for patient care.
Dr. Ethan Gantana, a pathologist and PhD candidate in Haematopathology at the NHLS and Stellenbosch University, is leading the charge in developing innovative diagnostic approaches that integrate AI with laboratory medicine.
His research focuses on diagnosing plasma cell cancers and includes peer-reviewed publications and international presentations on AI-aided plasma cell quantification, surrogate models for assessing bone marrow involvement, and advanced computational clustering analysis of routine flow cytometry data.
These advancements promise to provide quicker, more accurate, and cost-effective cancer diagnostics in public healthcare laboratories.
By enhancing diagnostic services, the NHLS aims to improve patient care while addressing systemic challenges in South Africa’s public health sector.
Beyond technical enhancements, this initiative highlights the growing importance of interdisciplinary collaboration among clinical medicine, pathology, and data science.
It also creates avenues for local innovation, research initiatives, and student training, solidifying South Africa’s position in the global AI and digital pathology landscape.
As the NHLS pursues its strategic objectives, the integration of innovative technologies into laboratory systems remains a cornerstone of its transformation strategy, positioning the organization at the forefront of data-driven, modern laboratory medicine.
