The IMP innovation journey continues.
The closing meeting of the CADPath.AI project marked the conclusion of a transformative two-year journey of research, technological development, and collaboration between healthcare and engineering specialists. Led by IMP Diagnostics in partnership with INESC TEC, the project aimed to develop advanced artificial intelligence tools capable of supporting pathologists in the diagnosis of colorectal cancer through digital pathology. The initiative resulted in the creation of one of the first Portuguese AI-based prototypes designed specifically for anatomopathological diagnosis, representing a significant milestone in the digital transformation of pathology workflows.
CADPath.AI combines expertise in pathology, machine learning, computer vision, and data science to analyse digitized histological images and assist specialists in identifying and classifying tissue lesions. The system was developed using thousands of colorectal biopsy and polypectomy samples, enabling the training and validation of algorithms capable of distinguishing between non-neoplastic tissue, low-risk lesions, and high-risk lesions. In addition to providing a diagnostic classification, the prototype can generate visual maps highlighting the regions of tissue that contributed most to the diagnostic result, increasing transparency and supporting clinical decision-making.
Beyond the technological achievements, the project generated important scientific contributions, including research publications, digital pathology guidelines, image datasets, and new methodologies for artificial intelligence development in pathology. The knowledge produced through CADPath.AI has contributed to advancing computational pathology research while helping bridge the gap between academic innovation and real-world clinical practice.
The project also played a key role in accelerating the implementation of digital pathology at IMP Diagnostics, supporting the transition from conventional microscope-based workflows to fully digital diagnostic processes. By integrating artificial intelligence into routine pathology practice, CADPath.AI demonstrates the potential of technology to improve diagnostic efficiency, increase consistency, and enhance patient care. The successful completion of the project reinforces IMP Diagnostics’ commitment to continuous innovation and to the development of cutting-edge solutions that will help shape the future of precision medicine and digital healthcare.