News and Publications
-
NovinoAI is a leading company in research and development of digital pathology and AI applications.
-
NovinoAI's FlexLIS platform supports clinical practice, research and education.
-
NovinoAI conducts several clinical research projects which advance the knowledge of pathology AI.
-
NovinoAI research team includes clinicians, data scientists, computer engineers, research scientists and students (high school, college and medical school).
Announcements
-
NovinoAI in Research:
-
​Education​
-
Study the ability of FlexLIS AI in helping pathology residents in learning prostate pathology
-
-
Clinical research
-
Study the practical use of FlexLIS IMS and AI in assisting pathologist diagnosis​ of prostate cancer
-
Evaluation of AI in urine cytology
-
-
-
FlexLIS in Practices
-
Newtown Laboratory successfully implemented FlexLIS as their pathology information system.
-
In The News
-
Dr. David Zhang received an interview by Business Insider on pathology AI in July, 2025 (https://www.businessinsider.com/how-doctors-use-ai-chatgpt-including-to-help-avoid-burnout-2025-10)
-
Dr. Min Zhu presented at USCAP 114th Annual Meeting (2025)
-
"Application of Artificial Intelligence-Assisted Histopathology"
-
-
Dr. Min Zhu received interview by The Pathologist (2025)
-
"AI Support in Training Tomorrow's Pathologists​"
-
-
Dr. David Zhang presented at SAU 3rd Annual Conference at Cape Cod, Massachusetts (2025)
-
"Digital pathology and artificial intelligence in supporting research"​
-
-
Dr. David Zhang gave a pathology grand round at UC Irvin (2025)
-
"Digital pathology and artificial intelligence in routine pathology practice"​
-
Publications
- Zhang, D. Y., Sali, R., Zhu, M., Zhang, V. Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System. J Vis Exp. 2025 Jul 11:(221) (Use the link to access article and video). https://app.jove.com/t/68270/introduction-an-integrated-pathology-image-management-artificial​
- Zhang D. et al. Implantation of Digital Pathology and Artificial Intelligence in Routine Pathology Practice. Lab Invest . 2024 Sep;104(9):102111 https://pubmed.ncbi.nlm.nih.gov/39053633/
- Zhu M et al. Artificial intelligence in pathologic diagnosis, prognosis and prediction of prostate cancer. Am J Clin Exp Urol. 2024 Aug 25;12(4):200-215. https://pubmed.ncbi.nlm.nih.gov/39308594/
- Cui M and Zhang D. Artificial intelligence and computational pathology. Lab Invest 2021 Apr;101(4):412-422. https://pubmed.ncbi.nlm.nih.gov/33454724/