André Ramos (CEO) and Daniel Lucena (CTO), founders of Mindify

Mindify joins the University of Goiás AI Center to bring innovation to health with an investment of BRL 5 million

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Aiming to expand and justify the application of Artificial Intelligence (AI) in Health, the healthtech Mindify announced an investment of BRL 5 million in partnership with the Center of Excellence in Artificial Intelligence of the UFG (CEIA), a research unit accredited to the Brazilian Company for Research and Industrial Innovation (Embrapii). The resources will come from own resources and non-refundable financing from Sebrae and Embrapii.

Health is one of the areas that can most benefit from the massive use of Artificial Intelligence, but it is one of the segments that have the greatest challenges. Among them, the difficulties of collecting quality clinical data and proving that AI suggestions are reliable for the clinical staff stand out. Good quality data is fundamental to most modern AI techniques. However, even with robust data, it is still difficult to explain how Artificial Intelligence works.

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André Ramos, CEO of Mindify , explains that Health is a complex system in which everyone involved has an obligation to do their part correctly and at the right time. For Prof. Dr. Telma Soares, general coordinator of CEIA, AI has real potential to help train healthcare teams on a large scale. However, with great prospects for solutions.

Ramos points out that the project aims to create AI algorithms capable of suggesting behaviors and justifying these suggestions to health professionals. “Mechanisms that are simple to use will be created to encourage continuing medical education even within the offices.”

Mindify as an ally of health with artificial intelligence

Founded with the intention of automating service protocols for gyms and nutrition clinics, Mindify “pivoted” ten years later to the medical field and, since then, has started to offer a new solution that simplifies processes and minimizes the fragmentation of Health, offering forms capable of to collect structured data, validate them in real time and offer decision support, reducing care or clinical research bureaucracy by up to 84% compared to using an electronic medical record or traditional clinical research form, resulting in substantial improvement of the financial margins of health services.