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TAMI – Transparent Artificial Medical Intelligence – final event

TAMI, a CMU Portugal Large Scale Collaborative Research Project, has been focused on using Artificial  Intelligence (AI) to help make medical diagnosis clearer and more reliable. The three-year initiative has been able to develop a decision-supporting platform based on AI algorithms for the diagnosis of health complications such as cervical cancer, lung diseases and eye diseases. 

In a final event at UPTEC (Porto), the project’s consortia led by First Solutions, in collaboration with Fraunhofer PortugalINESC TEC and Administração Regional de Saúde do Norte (ARS Norte), shared the project’s main achievements and outcomes. 

Credits: Fraunhofer Portugal

In the culmination of three years of dedicated research and development, the Transparent Artificial Medical Intelligence (TAMI) project, a CMU Portugal Large Scale Collaborative Research Project, is set to improve medical diagnosis through the power of Artificial Intelligence (AI).

Led by First Solutions in collaboration with Fraunhofer PortugalINESC TEC , and Administração Regional de Saúde do Norte (ARS Norte), the TAMI consortium has strived to create a decision-supporting platform that harnesses AI algorithms for diagnosing complex health conditions, including cervical cancer, lung diseases, and eye diseases.

Tiago Oliveira, project’s PI from First Solutions kicked off the meeting with an overall presentation of TAMI’s objectives and accomplishments. TAMI has been mainly focused on the development of tools rooted in Explainable Artificial Intelligence (XAI). These tools are designed to assist healthcare professionals in identifying “relevant findings” within images across various medical domains, including cervical cytology, colposcopy, glaucoma, and chest x-ray.

TAMI’s ultimate goal is to bring this groundbreaking application to market, making it accessible to the healthcare sector,such as hospitals and clinics. This would enable “consumers access to self-explanatory AI decisions for screening and diagnosis, , promising a transformation in medical care. However, despite remarkable progress, TAMI still faces the hurdle of navigating complex legal requirements and obtaining necessary certifications.

The project presentation was followed by a look into the four medical areas studied under TAMI: Colposcopy presented by Jaime Cardoso from INESC TEC, Cervical Cytology by Luís Rosado, Glaucoma by Filipe Soares from Fraunhofer Portugal AICOS, RX Thorax by Ana Maria Mendonça from INESC TEC. 

Representing the research team from Carnegie Mellon University, Asim Smailagic from the Electrical and Computer Engineering Department, presented the Carnegie Mellon contribution to TAMI’s research outcomes.

“The CMU team contributes to TAMI activities 4 and 5: Next Generation of Explainable AI Methods; and Methods for Evaluating Interpretability. CMU contributed to three accepted journal papers and five accepted conference papers, in collaboration with FhP and INESC TEC. CMU fostered collaboration between participating institutions by hosting visiting scholars from our partner institutions, and both scholarly research periods resulting in published works. From our side, we consider that the TAMI project has been a great success. The unique structure of this CMU Portugal project bridges academia (CMU and INESC), with industry (First and FhP), and the hospital (ARSN). Our multi-faceted collaborations are showing long-term benefits that promise to extend beyond the TAMI project itself.”, explains Asim Smailagic. 

The event wrapped up with a demonstration of the TAMI platform’s capabilities. This platform is intended to support medical professionals by providing AI-driven explanations for specific disease diagnoses, alongside visual elements pinpointing relevant areas within images and textual elements that convey comprehensible insights to human users. The platform has two main features: analyzing images to identify areas that may have relevant information and, at the same time, classifying variables depending on the specialty. The application, thoughtfully developed by First Solutions, is set to usher in a new era of medical decision support. In the near future, as the platform advances towards maturity, it will reshape the landscape of healthcare, bridging the gap between cutting-edge AI technology and medical practice.

Credits: Fraunhofer Portugal

The TAMI (NORTE-01-0247-FEDER-045905) project was selected by the ‘Go Portugal – Global Science and Technology Partnerships Portugal’ initiative in the context of the CMU Portugal program. It is co-financed by the European Regional Development Fund (ERDF) through the Operational Program for Competitiveness and Internationalization (COMPETE 2020) and by the Portuguese Foundation for Science and Technology (FCT) under the CMU Portugal Program.

In the Media: Sapo Tek