ARTIFICIAL INTELLIGENCE FOR MEDICINE

AI4MED RESEARCH GROUP 

Research and Innovation in Medicine 

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AI4MEDICINE

Development of simulation and forecasting models and integration with the TCIA database of medical images

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AI4MEDICINE

Development of simulation and forecasting models and integration with the TCIA database of medical images

RESEARCH GROUP OF ARTIFICIAL INTELLIGENCE FOR MEDICINE


PROF.ASOC. DAFINA XHAKO

Coordinator of the Project: Department of Physics Engineering, Faculty of Mathematical Engineering and Physics Engineering, Polytechnic University of Tirana
Tirana, Albania

About us

logo new removebg previewThis research group aims to conduct advanced studies on the development and use of artificial intelligence models in bioengineering and diagnostics as a result of the rapid development of technology in the field of biomedical sciences, market demand for the adaptation of new research in the field of biomedical engineering. The focus is to study new areas of application of artificial intelligence in biomedical technology, develop new algorithms and models for prediction and advanced simulation methods for automation in these fields, implementation of technology in medicine, especially 3D virtual simulation models, imaging diagnostics, calculation and processing.

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Involved researchers and students

Our mission

 

This research research group aims to develop new simulation and predictive models and the possibilities of their implementation for training purposes, simulation in the field of biomedical, diagnostic and therapeutic technologies, to increase the degree of accuracy of the examination and to eliminate or minimize mistakes made during such procedures.

Advance Research
Conduct cutting-edge research in AI-driven medical image analysis, segmentation, classification, image reconstruction, radiomics, and quantitative imaging. We explore novel machine learning, deep learning, and computational modeling techniques to improve diagnostic accuracy, treatment planning, and outcome prediction in radiotherapy and beyond.

Drive Impactful Projects
Collaborate with hospitals, radiology departments, oncology centers, and industry partners to translate our research into real-world solutions that enhance clinical workflows, improve patient outcomes, and support precision medicine. Our projects aim to bridge the gap between algorithm development and bedside application.

Empower Learning & Training
Offer comprehensive training programs, hands-on workshops, and seminars for students, researchers, and clinicians to build expertise in medical AI, imaging technologies, and data science. We promote an interdisciplinary learning environment that merges medicine, computer science, and engineering.

Engage Students & Young Researchers
Actively involve undergraduate, graduate, and PhD students in research projects, encouraging them to contribute to publications, open-source tools, clinical collaborations, and conference presentations. We are committed to mentoring and nurturing the next generation of leaders in AI and healthcare innovation.

Foster Strong Partnerships
Build strategic collaborations with academic institutions, clinical partners, medical device companies, and technology providers to co-develop impactful solutions, share knowledge, and accelerate the safe, ethical integration of AI into medical practice.

By pushing the boundaries of medical image processing, radiotherapy planning, and predictive analytics, we strive to shape a future where AI empowers clinicians, optimizes therapies, and transforms patient care.

1️⃣ Develop Advanced Simulation & Predictive Models

  • Design and implement state-of-the-art machine learning and deep learning models for simulation and prediction in biomedical, diagnostic, and therapeutic contexts.

  • Create virtual environments and simulation platforms to replicate complex medical procedures and workflows for training and research purposes.

  • Improve modeling of biological systems, tumor response, radiotherapy dose distribution, and patient-specific treatment outcomes.

2️⃣ Enhance Diagnostic & Therapeutic Accuracy

  • Improve the precision of medical image analysis (segmentation, classification, reconstruction) for applications such as tumor detection, organ delineation, and treatment monitoring.

  • Develop radiomics and quantitative imaging methods to extract meaningful biomarkers from imaging data for better diagnosis and prognosis.

  • Reduce diagnostic and therapeutic errors by integrating predictive models into clinical decision support systems.

3️⃣ Promote Ethical & Effective Clinical Integration

  • Collaborate with clinical experts to ensure that AI models are aligned with clinical needs, workflows, and safety standards.

  • Validate AI tools in real-world settings through prospective studies, pilot trials, and clinical partnerships.

  • Address ethical, regulatory, and data privacy challenges related to AI deployment in healthcare settings

4️⃣ Advance Training & Educational Resources

  • Develop interactive AI-based training modules and simulators for clinicians, radiologists, radiotherapists, and medical physicists.

  • Offer structured training programs (courses, workshops, hackathons) for students, researchers, and healthcare professionals to build competency in medical AI applications.

  • Produce educational materials (tutorials, manuals, datasets, code repositories) to foster broader knowledge sharing and skill development.

5️⃣ Foster Student & Early-Career Researcher Development

  • Provide research opportunities for undergraduate, master’s, and PhD students through hands-on project work, research assistantships, and thesis supervision.

  • Encourage student-led publications, conference presentations, and participation in collaborative grant-funded projects.

  • Create mentorship programs to guide students in academic and industry career pathways at the intersection of AI and healthcare.

6️⃣ Build Strong, Multidisciplinary Partnerships

  • Establish collaborations with hospitals, research institutions, medical imaging companies, radiotherapy equipment manufacturers, and AI technology firms.

  • Secure joint research projects, funding opportunities, and technology transfer initiatives with academic and industry partners.

  • Engage with international networks and consortia to amplify the group’s global impact and visibility.

7️⃣ Promote Innovation & Translational Impact

  • Translate research findings into clinically usable software, decision-support tools, and medical devices.

  • Contribute to the development of open-source tools, datasets, and frameworks to accelerate innovation in the field.

  • Support commercialization pathways, patents, and spin-offs to bring novel AI applications to the healthcare market.

Supported by AKKSHI and READ

Development of simulation and forecasting models and integration with the TCIA database of medical images

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Developed by the Research Group established at Polytechnic University of Tirana

Financed by: The National Agency for Research and Innovation, AKKSHI/NASRI

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And supported by:

  • Research Expertise from the Academic Diaspora, READ
  • European Federation of Organisations For Medical Physics, EFOMP
  • Albanian Association of Medical Physics, AAMP
  • Albanian Medical Technology, Albmedtech

Our partners

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BE PART OF OUR GROUP

  • Applicants must bachelor degree in physics of medical imaging
  • Applicants must have good level of computer skills 
  • Applicants must be English proficient

Application of Artificial Intelligence in Medical Imaging

The Research Group

Students and professional

PhD Student: MSc. Suela Hoxhaj

PhD Student: MSc. Elda Spahiu

  • Students of Scientific master program MSc. Medical Physics, Faculty of Mathematical Engineering and Physical Engineering
  • Students of Bachelor and Scientific master program "Radiologic Technologist", Faculty of Medical Technical Sciences, University of Medicine, Tirana
  • Students of Bachelor program "Radiologic and Radiotherapy Technologist ", Faculty of Medical Technical Science, Aldent University
  • Radiologic Technologist from: Mother Teresa Hospital, Tirana. American Hospital, Hygeia Hospital, Vila Maria Hospital, Regional Hospitals of: Shkodra, Korça, Berat, Durrës, Intermedica laboratory and diagnostics centers etc.
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Development of simulation and forecasting models and integration with the TCIA database of medical images