Artificial Intelligence Agents in Medicine: Optimization and Enhancement of Academic Writing for Scientific Dissemination

Abstract

This article examines the integration of Artificial Intelligence (AI) agents in the field of medicine and its impact on academic writing for scientific dissemination. The transformative role of AI, which has infiltrated everyday life through automated content generation and digital assistance, is addressed, highlighting both its benefits and the ethical challenges it poses. Specific applications in medicine are described, such as the use of deep learning algorithms—including convolutional neural networks and generative models—for medical imaging, pathology detection, and personalized medicine, based on genetic and predictive analysis, exemplified by tools such as Google DeepMind's AlphaFold. The use of AI to optimize the production of academic writings is also highlighted, significantly reducing the processing time of large volumes of information and enhancing collaboration and updating in scientific research. However, it underscores the imperative need to maintain rigorous human oversight, transparently declare the use of these tools, and ensure the protection of sensitive data, in order to mitigate associated risks such as bias, hallucinations, and privacy violations. In conclusion, AI is presented as an essential complementary tool in the advancement of knowledge in health sciences, provided that it is applied within an appropriate ethical and regulatory framework.