Segmenting and classifying tuberculosis, pneumonia and COVID-19 in chest X-rays
A deep learning pipeline that first isolates the lungs in a chest X-ray, then classifies the image as normal, tuberculosis, pneumonia or COVID-19.
Healthcare
Clinical AI for earlier risk detection, faster imaging and better use of patient records.
The challenge
Cardiovascular disease is often caught late, imaging workloads keep growing, and patient information is spread across reports and systems.
- Late risk detection
- Patients with diabetes, autoimmune or neurological conditions carry hidden cardiovascular risk that routine checks miss.
- Imaging workload
- Radiologists and cardiologists face rising scan volumes with limited time per study.
- Fragmented records
- Key facts sit in long reports and scanned documents that are slow to review.
How BigAI helps
- Risk stratification
- AI models that estimate cardiovascular and stroke risk using imaging and clinical data.
- Imaging decision support
- Segmentation and measurement support for ultrasound, IVUS and X-ray.
- Clinical summarisation
- Structured summaries of reports and discharge notes, with sources.
- Research partnerships
- Joint studies and publications with hospitals and medical colleges.
Our product for healthcare
BigHealth
AI for clinical risk assessment and medical imaging.
- Risk scoring with explanations
- Imaging support
- Record summaries
- Clinical dashboards
Healthcare: case studies & projects
Filter all case studies
Transformer models for coronary artery wall segmentation in intravascular ultrasound
A review of transformer and attention-based deep learning architectures for outlining coronary artery walls in IVUS images, and where they outperform earlier networks.
AI frameworks for cardiovascular and stroke risk in patients with comorbidities
A body of research on how AI can estimate cardiovascular and stroke risk in people with diabetes, Parkinson’s disease, rheumatoid arthritis, sleep apnoea and COVID-19.
Where AI saves money in healthcare: diagnosis versus treatment
An analysis of the economics of artificial intelligence across the healthcare pathway, recognised with MDPI Healthcare’s 2022 best paper award.
Clinical report summarisation for a hospital
An assistant that turns long reports and discharge notes into structured summaries for clinicians, with every statement linked to its source.
AI for healthcare
Tell us about your organisation and the problem you want to solve.