Year: 2026
Type: book-chapter
Abstract: Introduction: Artificial intelligence (AI) is transforming clinical decision-making by facilitating access to, organization of, and synthesis of scientific evidence.Within the framework of Evidence-Based Medicine (EBM), its incorporation should strengthen, not replace, the integration of the best available evidence, clinical expertise, and patient values.Its use requires ongoing critical evaluation to ensure safe, contextualized, and ethically responsible decisions.Development: AI contributes to the analysis of diagnostic and therapeutic alternatives, the comparison of risks and benefits, communication with the patient, and the optimization of clinical reasoning.However, it has inherent limitations, such as hallucinations, algorithmic biases, outdated information, and uncritical automation.Therefore, any recommendation generated must be compared with reliable sources, current clinical guidelines, and the individual characteristics of the patient, also considering the availability of resources and the healthcare context.Conclusions: AI represents valuable cognitive support for evidence-based clinical practice, provided that its use is subordinate to clinical judgment and the ethical commitment of the professional.Its true potential lies not in replacing the ability to decide, but in enriching critical analysis and fostering shared, transparent, and patient-centered decisions.The quality of care will depend on the clinician's ability to integrate technology, scientific evidence, and humanism into a responsible decision-making process.
Language: Spanish
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: gold
OpenAlex ID: W7214907172