The Engineer in Artificial Intelligence applied to Health uses advanced AI technologies to transform the medical field. Her work often begins with identifying needs in collaboration with health professionals: optimizing diagnoses, improving personalized treatments or managing health data.

A key mission is to develop machine learning models to analyze complex medical data, such as CT images or genomes. These models make it possible to detect pathologies with greater precision or to predict responses to treatment.

The engineer also works on decision support systems for practitioners, integrating tools such as medical chatbots or applications to monitor patients remotely. It ensures that solutions meet security and confidentiality standards, and are clinically validated prior to deployment.

At the same time, it is responsible for testing and continuously improving the performance of its algorithms based on user feedback and new data. This role involves constant technological monitoring to integrate the latest advances in artificial intelligence and respond to emerging challenges in the sector.

At the intersection of technology and medicine, the Engineer in AI applied to Health contributes to revolutionizing care while ensuring that the solutions developed remain focused on the needs of patients and health professionals.

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