How may AI contribute to better health and overall wellbeing?

There is reason to be optimistic about the potential of artificial intelligence to revolutionize virtually every facet of healthcare and health research, including monitoring, diagnosis, clinical trials, health care delivery, and health economics. The monitoring, diagnosis, and treatment of individuals receiving medical care in the community or at home might be made more individualized with the help of AI. For the promise of artificial intelligence in healthcare to be realized, there must be strong links established between AI knowledge, current health (domain) expertise, important stakeholders, and the general public.

Information Retrieval

AI technology and networked gadgets make it feasible to absorb and analyze massive amounts of medical data, remotely monitor patients, and provide therapies that are highly focused.

At every one of these subfields of research, Surrey is now in the vanguard. Researchers at the University's Centre for Vision, Speech, and Signal Processing (CVSSP) are working to create new medical imaging techniques that will allow doctors to take pictures that show information that is invisible to the human eye for the treatment of cancer.

Reconstructing pictures from raw data is an innovative approach that makes use of a variety of ways, some of which are as follows:

• Tomography with light beams
• CT stands for computed tomography.
• Magnetic resonance imaging (MRI)
• Positron emission tomography
• Imaging using ultrasound with a beam of radiation using protons

This method is paving the way for more individualized and effective cancer therapies by providing doctors with precise data on the biology of tumors.