Widescale adoption and application of artificial intelligence in healthcare
| Timeline | Connected/augmented care | Precision diagnostics | Precision therapeutics | Precision Medicine | Summary |
|---|---|---|---|---|---|
| Short term: 0–5 years | Internet of things in healthcare Virtual assistants Augmented telehealth Personalised mental health support | Precision imaging (eg diabetic retinopathy and radiotherapy planning) | CRISPR (increasing use) | Digital and AI enabled research hospitals30 | AI automates time consuming, high-volume repetitive tasks, especially within precision imaging |
| Medium-term: 5–10 years | Ambient intelligence in healthcare | Large-scale adoption and scale-up of precision imaging | Synthetic biology Immunomics | Customisation of healthcare Robotic assisted therapies | AI uses multi-modal datasets to drive precision therapeutics |
| Long term: >10 years | Autonomous virtual health assistants, delivering predictive and anticipatory care Networked and connected care organisations (single digital infrastructure) | Holographic and hybrid imaging Holomics (integrated genomic/radiomic/proteomic/clinical/immunohistochemical data) | Genomics medicine AI driven drug discovery | New curative treatments AI empowered healthcare professionals (eg digital twins) | AI enables healthcare systems to achieve a state of precision medicine through AI-augmented healthcare and connected care |
Timings are illustrative to widescale adoption of the proposed innovation taking into account challenges / regulatory environment / use at scale.