Centre of Artificial Intelligence for Mental Health

Address
  • United Kingdom

Organization profile

Profile Information

This new Centre operates at the intersection of two ASRIs: Artificial Intelligence and Mental Health. Its scope is to apply AI methods - machine learning, reasoning, knowledge graphs - to various mental health diseases. The initial set of diseases include ADHD, autism and suicide prevention, but is expected to be expanded in the course of the Centre’s operation.

Goals  

 

  • To carry out internationally outstanding research in AI for mental health.
  • To create a team of research active staff with a common interest in AI for mental health.
  • To provide support for existing staff and to build capacity in areas of strategic research importance.  
  • To produce high quality publications.
  • To improve the standard of publications produced by staff and to broaden the scope of publication options.
  • To secure high profile research grants.
  • To increase international links with world class universities.
  • To attract high calibre research students.
  • To identify the needs of end users and to develop innovative, multi-disciplinary solutions to those needs.
  • To produce research that impacts on policy and practice.
  • To disseminate research beyond academia.

 

Fingerprint

Dive into the research topics where Centre of Artificial Intelligence for Mental Health is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.

Network

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
  • A Decision Tree-initialised Neuro-fuzzy Approach for Clinical Decision Support

    Chen, T., Shang, C., Su, P., Keravnou-Papailiou, E., Zhao, Y., Antoniou, G. & Shen, Q., 1 Jan 2021, In: Artificial Intelligence in Medicine. 111, 13 p., 101986.

    Research output: Contribution to journalArticlepeer-review

    Open Access
    3 Citations (Scopus)
  • A Hybrid Automated Planning Approach for Urban Real-time Routing of Connected Vehicles

    Vallati, M., Scala, E. & Chrpa, L., 15 Jun 2021, (Accepted/In press) Proceedings of 24th IEEE International Conference on Intelligent Transportation - ITSC2021. IEEE, 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • An Efficient Algorithm for Semi-stable Extensions

    Cerutti, F., Giacomin, M., Vallati, M. & Zanetti, T., 22 May 2021, AIxIA 2020 – Advances in Artificial Intelligence: XIXth International Conference of the Italian Association for Artificial Intelligence, Revised Selected Papers. Baldoni, M. & Bandini, S. (eds.). 1st ed. Cham: Springer Nature Switzerland AG, Vol. LNCS/LNAI 12414. p. 117-135 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12414 LNAI/LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review