The integration of artificial intelligence (AI) in healthcare has transformed the industry, improving diagnoses, treatments, and data management. A recent study by the National Association of Private Hospitals and the Brazilian Association of Health Startups found that 62.5% of hospitals in Brazil use AI in some way, with 10% using it to support clinical decision-making and 8% in medical image analysis. AI has enhanced accuracy in image diagnosis, enabling early detection of diseases such as cancer, cardiovascular diseases, and eye diseases. Moreover, AI-based tools can analyze medical images with high precision, and machine learning algorithms can identify early signs of diseases. AI has also enabled personalized medicine, processing large data sets to identify patterns and correlations, and helping doctors select the most appropriate treatment for each patient.
However, challenges arise, including the engagement of clinical bodies, health insurers’ pace with technological evolution, maintaining patient care outside hospitals, and data security and trust issues. To address these concerns, robust data protection policies and regulations are essential, as well as promoting transparency and accountability in AI use. The World Health Organization’s Guide for Multimodal AI Models for Health provides guidelines for ethical AI use. Brazil needs to create regulations, possibly based on the guide, to ensure user safety and fully exploit AI’s potential.
