- FUTURE STRATEGY · LONG-TERM VISION
Healthcare AI: Our Vision for the Future of Medical Technology
Tabibaneh Tajhiz is committed to exploring the responsible integration of artificial intelligence into medical imaging, oncology and cancer radiotherapy.
“AI does not replace the clinician.
AI enhances clinical intelligence.”
Where four disciplines meet.
Our AI strategy sits at the intersection of healthcare delivery, medical technology, oncology and artificial intelligence — combining decades of clinical relationships with the tools that will define precision care.
Clinical first
Tools that support, never replace, clinicians
Evidence-based
Validated, regulated and explainable systems
- AI-assisted region of interest · 0.94
Sharper insight from every scan.
AI-assisted tools across CT, PET-CT and MRI that help radiologists detect earlier and report faster.
- 01AI-assisted diagnosis
- 02Image analysis across CT, MRI and PET/CT
- 03Abnormality and lesion detection
- 04Oncology imaging
- 05Imaging workflow optimisation
- 06Clinical decision support
Where AI supports the imaging workflow.
Applications we are studying with our technology partners, across the three modalities most used in diagnosis and treatment planning.
CT
Computed Tomography
- Lesion and nodule detection
- Automated measurement and comparison
- Faster reporting for high-volume centres
MRI
Magnetic Resonance Imaging
- Image quality and reconstruction support
- Tissue segmentation
- Prioritisation of urgent studies
PET/CT
Positron Emission Tomography
- Tumour detection and staging support
- Quantitative uptake analysis
- Follow-up comparison across studies
Where the technology sits in the clinical workflow.
01Acquisition
Images are acquired on CT, MRI or PET/CT systems.
02AI-assisted analysis
Software highlights findings, measures and segments structures.
03Specialist review
The radiologist or oncologist reviews and corrects the output.
04Clinical decision
The physician and care team decide on diagnosis and treatment.
AI supports steps 2 and 3. The decision in step 4 always belongs to the clinical team.
Precision, technology and human care.
Supporting oncology teams with faster, more consistent treatment planning — so more time is spent with patients.
- 01AI-assisted treatment planning
- 02Image segmentation & auto-contouring
- 03Tumour delineation and organ-at-risk identification
- 04Radiotherapy workflow optimisation
- 05Image-guided radiotherapy (IGRT)
- Auto-contour proposal · clinician review
What we provide today, and what we are developing next.
Available today Current
- Supply of imaging and radiotherapy systems
- Installation, maintenance and calibration
- Product registration and market access
- Clinical training for user teams
Under development Future
- AI-assisted imaging analysis with partners
- AI support for treatment planning
- Clinical validation studies with medical centres
- Knowledge transfer and joint research
In every application described on this page, the physician and the clinical team make the final decision. AI tools are intended to support clinical judgement, never to replace it.
“We are not selling algorithms. We are building the clinical, technical and regulatory ground they need to work.”
Equipment, service, registration and training first — then AI, with partners who can validate it.
Illustrative imagery — to be replaced with licensed or company photography
Building AI capability together with global leaders.
Through strategic partnerships with international technology companies, research institutions and healthcare providers, we aim to develop and introduce clinically validated AI solutions that support healthcare professionals, improve clinical workflows and contribute to better patient care. Final clinical decisions always remain with the physician and the care team, and these technologies are development directions rather than services offered commercially today.
Technology Partnership
Access to validated AI platforms
Knowledge Transfer
Training for Iranian clinical teams
Co-development
Joint localisation and research
Joint Venture
Shared long-term ventures
Long-term Investment
Sustainable capital for growth
Technology companies
Developers of clinically validated AI platforms for imaging and oncology.
Research institutions
Universities and research centres for joint studies and validation.
Hospitals & clinical centres
Clinical partners for pilot programmes and real-world evaluation.
Investors
Partners supporting long-term development of healthcare technology in Iran.