AI meets medtech:
big opportunities
require a
measured approach

By Jacques du Preez2024-02-08T00:05:00

Artificial intelligence (AI) and machine learning (ML)-enabled digital health technologies have great potential to improve patient care, strengthen diagnostic capabilities and enhance treatment options. Governments and healthcare professionals understand the transformative benefits of AI/ML Software as a Medical Device (SaMD); however, the product development lifecycle for AI technologies poses a range of challenges to current regulatory frameworks.

How to read this journal article

Thank you for visiting Regulatory Rapporteur. Journal articles are restricted to TOPRA members and registered users.

If you are a TOPRA member, or have already registered for limited free access, log in now (Option 1 below).

Not yet a member? You can either join TOPRA (Option 2 below) or register to view limited content for free (Option 3 below).

1. LOGIN

Already a TOPRA member?

Log in now using your MyTOPRA credentials, for unlimited access to all Regulatory Rapporteur journal articles, the online archive and latest industry news and podcasts.

Renew your TOPRA membership for 2026 here.

Already registered for free content?

If you are not a TOPRA member but have already created an account to access limited free content, log in here using your registered user email and password.

2. JOIN TOPRA

TOPRA membership

Become a TOPRA member and join our global regulatory affairs community.

Great savings on our events and training.
Be part of our dynamic international community.
Contribute to the profession.
Grow your skills and knowledge.
Take your career to the next level.

Become a member

3. REGISTER FOR FREE

Want free access to selected content?

Register now to continue to access industry news, editorials and podcasts plus one member-only journal article each month.

Create your own library to save your favourite content.

Create a free account

AI meets medtech: big opportunities require a measured approach