Artificial Intelligence in Healthcare
- #2 in Great Britain
- Top 0.69% worldwide
Certificate SI-8F9B-74B3-F2EB
Research that improves lives, strengthens digital trust and supports sustainable innovation — across artificial intelligence, IoT security, digital health, smart systems and human-centred computing.
Verified rankings from Scholarly Index across two impact windows.
Artificial Intelligence in Healthcare
Certificate SI-8F9B-74B3-F2EB
Artificial Intelligence in Healthcare
Certificate SI-04D2-D470-DBDA
Source: Scholarly Index, Top1000 Scholar 2026 edition (public beta).
Adaptive models for prediction, detection and decision support — including a Wiley Top-Cited model for Alzheimer’s disease prediction.
Intrusion detection, fraud detection and secure-by-design intelligent systems for connected environments.
Human-centred AI for diagnosis, monitoring and inclusive care — from medical imaging to assistive systems.
Edge intelligence, secure sensing and the Artificial Intelligence of Things at scale.
Trustworthy decentralised systems for data integrity, supply chains and digital identity.
A new closed-loop field merging EEG and motion signals to adaptively understand and respond to people.
CIoTh advances research, innovation and partnerships across artificial intelligence, IoT, big data, cybersecurity, robotics, digital health and intelligent systems — bringing together researchers, students, industry and global collaborators to build practical solutions for society.
Ranked #57 worldwide and #2 in Great Britain for AI in Healthcare (2021–2025), and #125 worldwide, #6 in Great Britain on lifetime impact.
A machine-learning model for Alzheimer’s disease prediction, among the most-cited work in its journal.
Human-centred AI for autism-related innovation — inclusive design and personalised support systems.
A workshop on practical AI for policy, administration and process automation at the World Trade Organization.
Strengthening university–industry collaboration in AI infrastructure and high-performance computing.
Extensive peer-reviewed work in AI, IoT, cybersecurity, wireless sensor networks, digital health, blockchain and intelligent systems. Explore the live profiles below.
Research partnerships, joint funding bids, doctoral supervision and industry projects are all welcome.