NVIDIA DLI Workshop at Universitas Hasanuddin Faculty of Medicine Department of Anatomical Pathology

On August 2 – 3, 2025, the NVIDIA Deep Learning Institute (DLI) Ambassador Program is held at the Department of Anatomical Pathology, Faculty of Medicine, Hasanuddin University. The workshop is conducted by Matthew Martianus Henry, S.Kom. and Mahmud Isnan, S.Kom. M.Eng, two of NVIDIA certified instructors from BINUS NVIDIA Artificial Intelligence Research & Development Center (AIRDC). There are 51 anatomical pathology specialist graduate students attending the workshop onsite.

The workshop begins on August 2, 2025, with a pre-workshop session on data collection best practices, specifically designed for implementing artificial intelligence (AI) technology in healthcare institutions. Prof. Dr. Upik Anderiani Miskad as the Head of Hasanuddin University Faculty of Medicine Anatomical Pathology Study Program opens the preworkshop session by stating that there is a wealth of data at Hasanuddin University Faculty of Medicine that can be leveraged for AI innovations in healthcare. Prof. Dr. Bens Pardamean as the Head of AIRDC also highlights the importance of data as a resource and how resource sharing can boost research output in both the AI and medical fields. After opening, the two instructors then review the definition of data, data types, data labeling process, as well as how to benchmark the data collection pipeline through a review of other works documented in journal articles.

The event continues to the Fundamentals of Deep Learning DLI workshop on August 3, 2025. In her opening speech, Prof. Upik underlines the importance of understanding AI for anatomical pathology specialist students, as it will equip them with valuable skills that make them adaptable in the future, where the advancement of AI in healthcare is unavoidable. The two instructors, accompanied by Prof.  Bens, continue to deliver the workshop core materials. In this workshop, the instructors also introduce breast cancer severity classification as one proof-of-concept (PoC) of AI implementation related to the anatomical pathology. The workshop concludes with a brief discussion which generates four more PoCs for AI implementation in the anatomical pathology field as the collaborative research.