Anil V. Parwani

Anil V. Parwani's research centers on digital pathology and the use of artificial intelligence and machine learning to help diagnose and grade cancers from tissue images, including prostate, breast, bladder, and genitourinary cancers. His work spans developing and validating AI algorithms for pathology, exploring generative AI and large language models in diagnostic workflows, and addressing practical challenges of implementing these tools in clinical labs and trials. This work is largely collaborative, appearing in major medical and computing journals alongside broader oncology and pathology topics.

Publication output grew substantially from 2017 to a peak around 2022, then has remained at a relatively high and steady level through 2025.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026