Artificial intelligence is consolidating itself as one of the greatest allies of modern medicine, both in diagnosis and in hospital resource management. The topic was addressed by cardiologist Ludhmila Hajjar this Tuesday (30), during the Brasília Summit, an event promoted by the LIDE group to discuss the technological revolution in the country and its impacts on national development.
According to Hajjar, advances in AI represent a direct response to urgent challenges, such as population aging and the growing complexity of chronic diseases. “This is a phenomenon that has come to stay, to enhance the safety of our medical activities and to deliver more efficient medicine with greater social justice,” she stated.
Faster and More Accurate Diagnostics
Among the points highlighted by Ludhmila Hajjar is the impact of AI on time-dependent diseases, such as heart attacks, strokes, and cancer. While humans are subject to errors, machine learning algorithms offer greater precision in analyzing imaging exams, ultrasounds, and CT scans. “We make more mistakes in ultrasounds and diagnoses than AI tools do. So, why not ally ourselves with these tools to increase diagnostic accuracy?” the cardiologist questioned.
She also emphasized that AI systems can already process extensive laboratory test panels, reducing the human error margin from 70% to about 5%. This precision ensures more reliable diagnoses and faster clinical decisions, an essential factor in emergencies.
Advances in Clinical Research
Another revolutionized field is the research of new drugs. Traditionally, developing a drug takes at least ten years. With AI-based simulation models, this period can drop to two or three years.
Brazil is already keeping pace with these advances and has regulatory bodies like Anvisa and Conitec, which handle approval processes. Even so, the doctor highlighted that AI can already reduce analysis time from one to two years to just months, without compromising safety.
International Examples and Initiatives in Brazil
Hajjar cited the Chinese Trinity model as a global example of technological integration, which encompasses predictive diagnostic medicine, intelligent patient monitoring systems, and automated hospital management. In practice, this means detecting changes before a cardiorespiratory arrest, anticipating diagnoses, and reducing operational costs.
In Brazil, a recent milestone is the approval of the Intelligent Medicine Technology Institute, which will be built in partnership with the University of São Paulo, the federal government, the BRICS Bank, and the São Paulo state government. The hospital, scheduled to begin construction in 2026, will operate 100% through the SUS and is expected to serve as a replicable model across the country.
Complement, Not Substitution
Despite the advances, Ludhmila Hajjar emphasized that AI should be seen as a partner, not a substitute for medical practice. “We should be allies of artificial intelligence. We will not be replaced. Our work will be enhanced,” she stated.
The doctor also highlighted that, although technology surpasses humans in diagnostic precision, the essence of medicine—based on empathy, care, and communication—remains irreplaceable. “Medicine is still the essence and the art,” she concluded.
Source: www.brasil247.com