• 2026-06-26 06:18:15

On 4 June 2026, the Taiwan Food and Drug Administration (TFDA) announced the Good Machine Learning Practice (GMLP): Development and Management Principles for Artificial Intelligence Medical Devices, providing a lifecycle management framework for AI-enabled medical devices. The guidance outlines 10 key principles covering product design, data quality, clinical evaluation, human oversight, cybersecurity, and post-market monitoring, while further aligning Taiwan's regulatory expectations with international AI medical device frameworks.

• 2023-11-20 01:26:23

Advancements in digital health technologies include the integration of AI and Machine Learning. These technologies are rapidly evolving and have a significant impact on the healthcare industry. The US FDA has released an update regarding the draft guidance they introduced on Predetermined Change Control Plans (PCCP).

• 2022-10-24 09:56:11

TFDA has recently announced a specific product registration guidance for AI/ML-based computer-assisted detection (CADe) and computer-assisted diagnosis (CADx) software. Through the application of AI and ML-based technologies in detective or diagnostic medical devices, these kinds of products could be essential for medical personnel by decreasing required reading time with better diagnostic performance.

• 2022-04-27 11:32:12

Concerning the rapid development of Artificial Intelligent/Machine Learning-Based SaMD, TFDA has updated the related guidance that was initially announced in 2020. The latest requirements are summarzied in this article.

• 2021-02-22 02:35:59

Taiwan FDA has announced a Product Registration Guidance for Artificial Intelligent/Machine Learning based Software Medical Device, or so-called AI/ML-Based SaMD. The guidance provides overall requirements and forethoughts for manufacturers to consider and describe when designing and establishing the products.