Healthcare
One of AI’s notable strengths lies in its capacity to sift through vast volumes of data. Formatted medical data has emerged as a pivotal driver of AI innovations in healthcare. Equally important is how AI entities collaborate with industries in a trustworthy and responsible manner to conduct model training, thereby furnishing medical diagnostics with more accurate and effective outcomes – an issue of international concern.
Taiwan AI Labs harnesses Taiwan’s extensive medical data and collaborates with medical professionals and leading scientists to address intricate human health challenges.
Our Story
TAIMedimg delivers validated AI medical imaging models for clinics and hospitals, enhancing disease detection, prognosis, tracking, and medical report generation. We also offer a federated learning platform for medical professionals and AI experts, ensuring privacy and accelerating global AI adoption in healthcare.
TAIGenomics utilizes Taiwan AI Labs’ genomic analysis model to empower healthcare professionals, improving efficiency and accuracy while reducing costs. Our AI system analyzes medical literature, standardizes genomic data, and builds predictive models from known diseases and biomarker genes, illuminating the future of genomic analysis in Taiwan.
The Taiwan AI Federated Learning Alliance (TAIFA), jointly initiated by the National Development Council, Ministry of Science and Technology, Ministry of Transportation and Communications, Ministry of Health and Welfare, Ministry of Economic Affairs, Ministry of Culture, and Taiwan AI Labs, aims to provide trustworthy standards and mechanisms for data governance in Federated Learning. With a focus on protecting personal information, privacy, cybersecurity, and ethical issues, it seeks to create a national-level, cross-ministerial, and cross-disciplinary platform service.
Leadership
Alphabetical order by first name
