Centre for Artificial Intelligence and Big Data in Emergency Medicine and Clinical Research (AI Health TM)

AI Health TM – the Centre for Artificial Intelligence and Big Data in Emergency Medicine and Clinical Research – aims to support the development of medical research through the responsible use of artificial intelligence and biomedical data analysis. The Centre seeks to transform medical data into meaningful information for clinical practice, contributing to improved quality of healthcare, increased efficiency of the healthcare system, and enhanced patient experience. Through its activities, AI Health TM aligns with international trends promoting predictive, preventive, personalized, and participatory medicine.

The Centre’s objective is to create an academic and methodological framework in which clinical, imaging, biological, and operational data can be rigorously analyzed for the benefit of research, medical education, and, in the long term, the improvement of clinical practice. Through its work, AI Health TM aims to facilitate research projects based on real-world data, predictive models, decision-support tools, and digital solutions adapted to current medical needs.

Although it has a strong focus on emergency medicine, the Centre is open to collaborations with all medical, pharmaceutical, biological, technical, and informatics disciplines. The Centre’s team can provide methodological support for projects involving database organization, statistical analysis, medical image processing, development of artificial intelligence models, interpretation of results, and preparation of data for scientific publications or research grants.

An important objective of the Centre is the development of an interdisciplinary community around data-driven research. AI Health TM encourages the involvement of faculty members, medical residents, PhD students, researchers, and students interested in artificial intelligence, biostatistics, medical informatics, and clinical research. Through collaborative activities, mentorship, and training, the Centre aims to contribute to the development of the digital and analytical skills required in modern medicine. One of the projects already underway involves organizing the student research group “Histological Image Processing and Analysis” in collaboration with the University Department of Histology within Department II – Microscopic Morphology.

The main fields targeted by the Centre are:

• Emergency Medicine – use of artificial intelligence for automated triage and patient prioritization, prediction of rapid clinical deterioration risk, integration of continuous monitoring data, laboratory analyses and imaging, as well as decision support for critical conditions such as trauma, stroke, and acute myocardial infarction. AI systems can contribute to reducing the time to diagnosis and treatment, early identification of severe cases, and optimization of patient flow in emergency departments.
• Surgery – AI-assisted analysis for preoperative planning, perioperative risk assessment, intraoperative imaging assistance, and prediction of postoperative recovery.
• Cardiovascular Diseases – monitoring and prevention through predictive models.
• Medical Imaging – AI-based analysis in radiology.
• Pathology – quantification models and AI-assisted pathology.
• Oncology – AI-assisted diagnosis and disease progression prediction.
• Rare Diseases – multi-omics data analysis.
• Integrated Genomics and Proteomics – personalized medicine.
• Pulmonology and Phthisiology – automated detection of tuberculosis and chronic pulmonary diseases using radiography, CT imaging, digital spirometry, and integration with clinical and epidemiological data.

The Centre’s activities are carried out in accordance with principles of ethics, confidentiality, data protection, and responsible use of digital technologies. AI Health TM aims to become a collaborative space connecting specialties, institutions, and academic generations, contributing to the advancement of research quality within Victor Babeș University of Medicine and Pharmacy of Timișoara and to the development of projects with scientific, educational, and clinical impact.