Deep learning AI trained on 50 million+ NHS images, validated by the Royal College of Radiologists — delivering 98.7% diagnostic accuracy and 40% faster reporting.
MediPulse Imaging AI analyses radiological images in seconds, flagging critical findings, auto-measuring lesions and generating structured reports — fully integrated with your PACS workflow.
See It in Action →From routine X-rays to complex MRI sequences — MediPulse Imaging AI supports six modalities with specialist-grade precision.
Automated detection of fractures, pneumothorax, consolidation, effusions and nodules on chest, MSK and abdominal plain films. Results in under 3 seconds.
Volumetric analysis of CT scans for pulmonary embolism, intracranial haemorrhage, cancer staging and abdominal emergencies with real-time triage prioritisation.
Multi-sequence MRI analysis for neurological conditions, musculoskeletal injuries, prostate cancer and cardiac assessment. Automates segmentation and reporting.
Real-time AI assistance during ultrasound examinations — detecting thyroid nodules, foetal anomalies, gallstones and DVT with instant sonographer guidance.
Whole-slide digital pathology analysis for cancer detection, grading and biomarker quantification. Triages urgent cases and identifies rare morphologies missed at first review.
Automated diabetic retinopathy screening and glaucoma detection from fundus photographs. Reduces screening backlogs and delivers same-day results to patients.
MediPulse Imaging AI is powered by proprietary deep learning architecture trained exclusively on anonymised NHS imaging data — ensuring it performs accurately for UK patient populations.
Trained on over 50 million anonymised NHS radiological images from 23 NHS Trusts, representing the full diversity of UK patient demographics and disease presentations.
Independent validation study conducted in partnership with the Royal College of Radiologists, published in The Lancet Digital Health (2025). Results replicated across 3 independent NHS test sites.
All AI outputs include visual saliency maps showing exactly which regions influenced the diagnosis — giving radiologists full transparency and clinical confidence in every AI finding.
Federated learning architecture allows the model to improve continuously from corrected cases across the NHS network — without any patient data leaving the Trust's environment.
Data from independent validation study, Royal College of Radiologists, 2025. Published in The Lancet Digital Health.
MediPulse Imaging AI has obtained all required regulatory approvals for deployment in NHS clinical environments, ensuring patient safety and legal compliance.
Certified as a Class IIb medical device under EU MDR 2017/745, meeting the highest standards for diagnostic AI software.
Registered with the UK Medicines and Healthcare products Regulatory Agency for use in NHS clinical settings across England, Scotland, Wales and Northern Ireland.
FDA clearance demonstrates conformance with rigorous international safety and performance standards for AI-based medical imaging software.
Passed the NHS Digital Technology Assessment Criteria — the mandated evidence framework for all AI and digital health technologies deployed in NHS England.
MediPulse Imaging AI slots directly into your existing radiology workflow — no new viewer, no new worklist, no disruption to your team.
Scan completed on any modality — CR, CT, MRI, US or scanner type
MediPulse AI analyses the image in seconds, detecting findings and anomalies
Critical findings are immediately escalated; routine studies prioritised by acuity
AI findings presented within PACS viewer with overlaid annotations and saliency maps
AI-drafted structured report auto-populates into RIS for radiologist sign-off
Pre-built integrations with Agfa IMPAX, Sectra IDS7, Philips IntelliSpace, Fujifilm Synapse, GE Centricity, Siemens Teamplay and all major DICOM-compliant systems.
See MediPulse Imaging AI analyse real cases live — with your own imaging data and your clinical team present. No commitment required.
Book a Live Imaging Demo →Your request has been received.