AI Use Cases
To build awareness on the possibilities and benefits the development and deployment of AI in healthcare offers COCIR decided to centralize AI use cases as of 2020 and has been collecting use cases from its membership. This list of use cases will be periodically updated and more will be published on regular basis to reflect the latest innovations and developments.
Use case 01 - AI in chest imaging
Use case 03 – AI in patient positioning for computed tomograpy imaging
Use case 04 – AI women’s health ultrasound
Use case 05 – Snakebite & snake identification via mobile devices
Use case 06 – Teledermatological screening solution via mobile devices
Use case 07 – AI in chest imaging
Use case 08 – AI in adaptive radiotherapy
Use case 09 – AI in mammographic breast density
Use case 10 – AI based radiotherapy treatment planning solution
AI in Healthcare
Artificial Intelligence (AI) in healthcare is already a reality. Healthcare providers have embedded the technology into their workflows and the decision-making process.
The introduction of AI in healthcare has brought improvements for patients, providers, payers and other healthcare stakeholders as well as society large.
In order to realise the full benefits of AI in healthcare COCIR believes further work is needed on a range of priority topics.
Even though data is all around us, it can be challenging to get access to the highly qualitative data that is essential to build effective AI applications. To ensure a level playing field and spur innovation, it is vital that access to high quality data is ensured in a fair, transparent and non-discriminatory way.
It is important to have a robust and regulatory framework that provides certainty and safety as new technologies are being developed and introduced into the market. Standards and definitions should be endorsed on a European level to ensure interoperability and avoid fragmentation.
Trust will play a crucial role in the further uptake of AI in daily healthcare practice. This will require a transparent ethical framework that favors a human-centric approach.
In the end, more AI applications should find their way into daily healthcare practice. To make these implementations successful, integration should be carefully considered.
COCIR is committed to engage in a broad dialogue with all relevant stakeholders (healthcare providers and professionals, patients, payers, industry, policy makers and others) to overcome any barriers that withhold further adoption of AI in healthcare.
Click here to access to our paper on AI and COVID-19 released on 11 June 2020.
Read our COCIR White Paper “Artificial Intelligence in Healthcare”.
Click here for more information on our COCIR April 2019 event “How to put Artificial Intelligence into daily Healthcare”.