The new Collaborating Center on AI for Health Governance has been announced by the World Health Organization (WHO)

The WHO designated the Digital Ethics Centre at Delft University of Technology in the Netherlands as a WHO Collaborating Centre on Artificial Intelligence (AI) for Health Governance.

It will be essential to WHO's efforts to ensure the ethical and responsible use of AI for health by encouraging research on important topics and providing expert guidance for policy-making.

AI in the Medical Domain

The method of predicting a person's likelihood of developing a certain disease or the progression of an existing one by examining their genetic information, medical history, and other data is known as predictive modelling.

Development and Research: Planning and carrying out targeted clinical trials has sped up the development of novel medications and vaccines.

Patient screening, accurate medical picture recognition, and precision medicine are all components of disease diagnosis and monitoring.

Care Economy: Assist in aging management by Chatbots for virtual assistants, pattern recognition, and applying developments in preventive healthcare.

AI's difficulties in the medical field

Privacy and data security concerns: Data security is a concern since AI in healthcare creates and maintains enormous volumes of sensitive medical and personal data.

Algorithmic bias: Runs the risk of widening gaps by reinforcing pre-existing prejudices against particular people or groups.

Disjointed regulatory structure: The issue of assigning tasks is brought up by unclear regulations and growing public mistrust of AI.