Digital tools increase diagnostic safety and help doctors make faster, more assertive decisions
A study released in July 2025 by the JRC, the European Commission's science and knowledge service, shows that artificial intelligence technologies have already reached a high level of maturity in tasks such as medical image segmentation and detection, with a proven impact on clinical practice, especially in lung cancer screening and cardiovascular disease classification. In the cases analyzed, AI systems enabled automatic segmentation of multiple organs and detection and longitudinal monitoring of lung nodules, with gains in diagnostic accuracy and reduced clinical workload.
Meanwhile, tech giants are constantly announcing new AI tools that will transform the healthcare ecosystem. In tests involving more than 300 challenging clinical cases, a new AI system expected to be released by Microsoft correctly diagnosed more than 801 cases, while human doctors, without the support of colleagues or resources, correctly diagnosed 201 cases. The fact is that artificial intelligence is increasingly present in clinical practice, being applied to support complex diagnoses, reduce uncertainty, and make patient care more agile, efficient, and humanized.
But, contrary to popular belief, rather than replacing the doctor, AI acts as an assistant. "We are living in a time of transition, in which medical knowledge is being enhanced by intelligent systems. Artificial intelligence, as a healthcare agent, emerges as an ally in clinical reasoning, interpreting the context and executing actions that the doctor will validate. It also organizes large volumes of information, transcribes consultations, and suggests possible paths based on solid data," says Christiano Berti, director of the Diagnostic Medicine Unit at MV.
In these cases, technology helps not only with image analysis but also with early disease identification, cross-referencing laboratory tests with symptoms, and even suggesting clinical approaches. All of this reduces the time between suspicion and diagnosis, strengthening decision-making, especially in highly complex contexts. With the support of AI, doctors also no longer rely solely on memory and manual data analysis, relying instead on an intelligent tool that highlights relevant information and highlights what might otherwise go unnoticed.
"Our experience with our AI products, created specifically for the healthcare sector, shows us that when technology respects the clinical environment and understands the care context, it stops being just a tool and becomes an extension of the healthcare team. That's what we've been striving for with them: to create intelligence that understands, supports, and acts at the right time, wherever care takes place," says Berti.
By automating repetitive and bureaucratic tasks and organizing clinical data, AI tools allow professionals to focus more on listening, welcoming, and monitoring patients in an attentive and personalized manner. Time previously spent searching for information can now be directed toward dialogue and building a trusting relationship.
"Technology doesn't distance the doctor from the patient; it brings them closer. By being better informed and less burdened with administrative tasks, the professional can dedicate more time to the consultation. When the human perspective is combined with technological innovation, everyone wins: the doctor, the healthcare system, and especially the patient," concludes Christiano.
MV recently created MaVi, the company's proprietary artificial intelligence, designed to operate in an integrated and adaptive manner at different stages of the care journey. It comes in multiple forms, from embedded features in the company's systems, such as the Electronic Patient Record, to virtual voice assistants and physical devices. Furthermore, the company developed the VIVACE platform's artificial intelligence portfolio, the most robust catalog applied to imaging diagnostics, bringing together 70 specialized artificial intelligences focused on different pathologies and body regions, working in integration with various modules to speed and improve diagnoses.
About MV
With the purpose of empowering society in healthcare, MV is a multinational company that drives digital transformation in the healthcare sector. A market leader in Latin America since 1987, the company develops innovative software to facilitate the management of hospitals, clinics, health plan providers, diagnostic centers, and public healthcare networks. Leading a robust ecosystem of companies and solutions, MV directly serves more than five thousand clients, ensuring efficiency, agility, accuracy, and security in healthcare services. Learn more at www.mv.com.br.
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