The most important aspect of my Master's in IT was developing an AI for Finnish medical transcription
Nowshad Ruhani graduated in spring 2025 as a Master of Engineering in Medical Technology. He tells about his studies:
"Pursuing a Master's in Information Technology at Metropolia allowed me to integrate my engineering education with my keen interest in artificial intelligence and healthcare technology.
During the course, I focused on developing a medical transcription LLM model for Finnish clinical conversation in my thesis, in research I fine-tuned the open-source LLaMA model using Finnish audio recorded conversion and transcripts.
This research enabled me to build strong technical competencies in machine learning, natural language processing, and high-performance computing while improving my skills in teamwork, project management, and communicating research. Working together with peers, faculty, and the Digital Medical Scribe project team, I was in a position to address an actual healthcare issue — reducing physician documentation burden using AI.
Today, the knowledge and skills gained are directly influencing my work in AI-driven innovation, and I look forward to continuing to build solutions at the intersection of technology and healthcare."