Siriraj Piyamaharajkarun Hospital (SiPH), operating under the Faculty of Medicine Siriraj Hospital, has revolutionised its Pathology Information System (PIS) using advanced computational technologies and artificial intelligence.
In collaboration with IBM, the system now integrates laboratory workflows, image scanning systems, and centralised data processing, establishing a cohesive approach for pathological cancer diagnosis and laying the foundation for SiPH’s future advancements in cancer diagnostics.
Developed by the IBM Supply Chain Industry 4.0 team in Singapore, the system simplifies data entry using smart forms and speech-to-text AI models, seamlessly integrating tissue specimen information with high-resolution images from slide scanners.
These images undergo AI-powered analysis using algorithms from SiPH and AI inferencing capabilities of IBM Power10 MMA.
This streamlined process gives pathologists real-time access to integrated data, allowing them to quickly and accurately diagnose potential cancer cases.
SiPH’s newly transformed PIS system now empowers pathologists to focus on critical aspects of cancer diagnosis. The system’s automated workflows and AI-driven slide image analysis —currently piloted for prostate cancer — streamlines the identification of potential cancerous tissues.
By automatically processing and feeding diagnostic results back into the system, the platform enables doctors to concentrate on high-risk cases, significantly improving diagnostic accuracy and efficiency.
“Today’s success in transforming our pathology workflows and enhancing diagnostic quality will ultimately lead to more accurate cancer diagnostics, benefiting patients across Thailand and ASEAN,” said Pornsuk Cheunsuchon, director of Digital Pathology Center at SiPH.
“This achievement also unlocks new capabilities in computational pathology, paving the way for integrated, automated AI-powered diagnostics to play a pivotal role in the future of clinical care at SiPH,” the doctor said.
Anothai Wettayakorn, managing director of IBM Thailand, said this advancement addresses key challenges in computational pathology, from integrating raw data from various sources to overcoming the limitations of processing power needed to analyse vast amounts of data and images.
“In particular, IBM Power 10’s 99.9999% availability, the MMA in-built on-chip accelerator, together with end-to-end security, will help SiPH minimise risks, secure AI workloads at all layers, and protect data through accelerated encryption,” said Anothai.
“Today’s collaboration is a testament to a growing preference for technologies that offer speed, efficiency, transparency, and accuracy in healthcare, which will ensure better care for patients across Thailand and ASEAN,” he added.
