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This talk explores the journey of developing open-source AI tools that bridge multiple modalities in healthcare applications. I'll demonstrate how open-source principles accelerated the work in local languages such as Thai speech-to-text models for medical conversations. I'll share real-world deployments including doctor-patient conversation transcription systems and DMIND, a depression prediction tool analyzing speech patterns. Finally, I'll present our 3D medical image reconstruction for skull and mandible surgery planning. Through these projects, I'll illustrate how open-source frameworks enable rapid prototyping, facilitate clinical validation, and democratize healthcare AI. Attendees will learn practical approaches to building medical AI applications and the importance of open-source in healthcare technology in Thailand.
