Artificial intelligence (AI) is the ability of a machine to reproduce human-like abilities, such as reasoning, learning, planning and creativity [1]. Although there is no single concept of artificial intelligence, we can point out that we are dealing with systems that integrate highly advanced technology that allows them to train, learn and, to a greater or lesser extent, act autonomously [2].

Currently, AI is revolutionizing the healthcare industry by improving different administrative and scientific processes, optimizing treatments, diagnoses, strengthening telemedicine and optimizing hospital data analysis, thanks to advances in automated learning and medical data processing, which makes it a valuable tool for the industry. These benefits and others such as, greater accuracy in diagnoses from the reduction of medical errors and disease prevention, medical time optimization, allowing the professional to focus on patient care and not on administrative tasks, cost reduction by optimizing processes and hospital resources and finally one that took great relevance after the pandemic not only for the health sector but for humanity with telemedicine, characterized by Chatbots designed and driven to provide remote care with a minimum of specialists.

Although AI has been well received for its advantages, it also brings with it different considerations and challenges, such as the handling of sensitive medical information that imposes strict privacy measures such as the protection of personal data, which must comply with regulations governing its treatment, another challenge is the prevention of computer attacks, since they can violate the confidentiality and integrity of sensitive patient information. It is also important to bear in mind that although AI can reproduce or amplify databases, they can also have biases in some algorithms, so it is important to always have ethical responsibility in their analysis [3].

The applicability of intelligence in health has been developing gradually from 1970 to 2020, where the first applications of artificial intelligence were focused on the development of machines such as, for example, the first industrial robotic arm (Unimate) or “the first electronic person” (Shakey, in 1966). Also, clinical informatics databases and medical record systems were generated [2], later they developed a glaucoma consultation program using the CASNET model followed by DeepQA technology that allowed providing evidence-based medical answers which has driven the development of other technologies such as the use of IBM Watson to identify new RNA-binding proteins altered in amyotrophic lateral sclerosis [4] or the Pharmbot chatbot that aided drug education for patients among others. This demonstrates the possible implementation of artificial intelligence for the diagnosis and treatment of diseases optimizing not only resources but also diagnostic and response efficiency.

The integration of artificial intelligence in healthcare is only in its early stages. With the continued development of AI technologies, its application is expected to expand into areas such as remote patient monitoring, robotic surgery and hospital systems management, making collaboration between technologists, scientists and healthcare professionals essential to maximize the benefits of this technological revolution and ensure that innovation is implemented in an ethical and safe manner.

The potential of AI to transform medicine is immense. From improving diagnostic accuracy to personalizing treatments and accelerating research, artificial intelligence is set to play a crucial role in the future of healthcare. However, for these advances to translate into real benefits for society, the ethical and technical challenges that accompany this technology need to be proactively addressed, representing an unprecedented opportunity to transform healthcare. Through more accurate diagnostics, personalized treatments and more efficient medical research, AI has the potential to significantly improve people’s quality of life. However, it is critical that the implementation of these technologies is conducted with ethical rigor and constant vigilance to ensure that technological advancement translates into equitable and safe benefits for all of society.

Bibliography

[1]Rocha, A. F. D., Ribeiro, M. P., & Ribeiro, R. P. (2025). Artificial intelligence in scientific publications: ethical and legal issues. Revista Gaúcha de Enfermagem, 46, e2024025257.

[2]Ortiz Fernández, M., Medina Martínez, M. Á., & Orozco-Beltran, D.(2025) Past, present and future of artificial intelligence in healthcare: Between innovation and security.

[3] Acitores, A. S. (2025). The impact of artificial intelligence in the healthcare sector: ethical and legal challenges. La Ley mercantil, (120), 6.