We regulate artificial intelligence (AI) as a medical device when it is used for diagnosis, prevention, monitoring, prediction, prognosis, treatment, or alleviation of disease, injury or disability.
When AI is considered a medical device
AI would generally be a medical device if it is intended to be used for:
- diagnosis, prevention, monitoring, prediction, prognosis, or treatment of a disease, injury, or disability
- alleviation of, or compensation for, an injury or disability
- investigation of the anatomy or of a physiological process
- control or support of conception.
Medical devices can include any app, website, program, internet-based service or package. It may be on a watch, phone, tablet, laptop or other computer, or part of a hardware medical device. It may be part of an ecosystem with cloud components or a standalone product.
Examples of medical devices that use AI include:
- apps that aid in diagnosing melanoma from mobile phone photos
- analytics in the cloud that predict patient deterioration
- chatbots that give treatment suggestions to consumers or health professionals
- clinical decision support that uses generative AI to create symptom and diagnosis summaries
- eye disease screening apps that cover diabetic retinopathy, glaucoma and macular degeneration
- radiology image analysis to aid in diagnosing pneumothorax, pneumonia, tumours.
How AI medical devices are regulated
Generally, regulated medical devices are included in the Australian Register of Therapeutic Goods (ARTG).
Changes to the regulations for software based medical devices, which may include AI, took effect from 25 February 2021, including a transition period for those already included in the ARTG.
We have published guidance to help developers determine whether software is a medical device – the “Is my software regulated?” flowchart on our website, in addition to other guidance about recent regulatory changes and boundary clarifications for software and FAQs.
Further detail about regulation of software based medical devices is published on our website, including risk classification. If an AI medical device is supplied to people in Australia, then it comes under the medical device regulations, regardless of where it is based.
List of AI-enabled medical devices in the ARTG
We have published a list of AI-enabled medical devices that are in the ARTG. The medical devices listed incorporate AI or machine learning (ML) technologies
Generative AI regulation
Software that incorporates generative AI such as large language models (LLMs), text generators, and multimodal generative AI are all regulated as a medical device if they meet the definition.
Artificial intelligence text-based products like ChatGPT, GPT-4, Gemini (formerly Bard), Claude and others have recently received media attention.
Clinical and technical evidence must demonstrate the safety, reliability and performance of the product using the generative AI such as LLM to the same standard as other medical devices – for higher risk products, clinical and technical evidence are required to be more stringent.
It is important to note that it is unlikely to be a medical device, and is not regulated by us, where:
there is no medical purpose or claim associated with the product using the generative AI such as LLM, or
it does not meet the definition of a medical device as defined in the section 41BD of the Therapeutic Good Act 1989.
Large language models and chatbot regulation
When LLMs or chatbots have a medical purpose and are supplied to Australians, they may be subject to medical device regulations for software and need approval by us.
Regulatory requirements are technology-agnostic for software-based medical devices and apply regardless of whether the product incorporates components like AI, chatbots, scribes, cloud, mobile apps or other technologies.
In these cases, where a developer adapts, builds on or incorporates a LLM into their product or service offering to a user or patient in Australia - the developer is deemed the manufacturer and has obligations under section 41BD of the Therapeutic Good Act 1989.
AI developers will need to understand and demonstrate the sources and quality of text inputs used to train and test the model, and in clinical studies, in addition to showing how the data is generalisable and appropriate for use on Australian populations.
For more information on when digital scribes are regulated as medical devices, please review the available information on our website.
Evidence requirements for software using AI
In addition to general software requirements, for software that uses AI or machine learning (ML), the manufacturer is required to possess evidence that is sufficiently transparent to enable evaluation of safety and performance of the product.
For more information on evidence requirements for software using AI, please review the information on our Evidence requirements for software using AI webpage.
Synthetic data use
Data can be generated to augment or replace data from real patients or devices to use in training or validation – often referred to as synthetic data. Synthetic data may be considered acceptable in some instances – an explanation of the rationale and description of the origin and construction of the synthetic datasets will be required. Examples may include rare diseases where data is scarce or situations with data privacy considerations.
For many use cases, synthetic data may not provide sufficient depth and variability to adequately validate a product. Where data is readily available in large volumes, it would be less likely that synthetic data would be considered to be appropriate.
For clinical validation, synthetic data may supplement but will generally not replace clinical data in satisfying clinical evidence requirements.
Whole of government AI oversight
The Australian Commission for Safety and Quality in Health Care (the Commission) is responsible for e-Health safety and is developing information to support AI safety.
We are working with the Commission and other parts of the Australian Government Department of Health and Aged Care to ensure safety and performance. While we are also balancing the need to minimise regulatory burden for AI. This includes working with the Department of Industry, Science and Resources on their whole of government work on responsible AI.
What you need to do
Check the Is my software regulated? flowchart to see if your software is a medical device and that you understand all your obligations, including those for privacy, data, cyber security and advertising to health professionals or consumers.
If you make changes to your product, its regulatory status may change and there are requirements to notify us for either a Device Change Request or regarding Conformity Assessment.
Ask if you need further guidance or clarification after reviewing the information on our website. You can also request a formal pre-submission meeting prior to submitting an application.
You can contact us via our email: digital.devices@tga.gov.au.