Está el futuro de la Neurología en manos de la Inteligencia Artificial
The report from the Spanish Society of Neurology highlights that artificial intelligence is rapidly transforming the specialty, offering advanced tools for the diagnosis, prognosis, and treatment of neurological diseases. With a significant increase in the approval of AI-driven medical devices, this technology enables greater standardization, speed, and personalization in healthcare, positioning neurology alongside cardiology and radiology as privileged areas for its implementation. However, it is clearly established that AI must act as a support tool and not as a substitute for human clinical judgment. Experts warn that, although algorithms are efficient in processing data, they lack the capacity to understand the patient’s full complexity, including their psychosocial and cultural circumstances. Therefore, the ideal model is one of “copiloting,” in which artificial intelligence facilitates decision-making under the essential supervision and empathy of the medical professional, ensuring human and context-aware care. This perspective is fundamental to the field of open data, as it underscores the critical need for external validation and diversity in the datasets used to train these models. The real effectiveness of AI depends on the quality and representativeness of the available information; if training data do not reflect population diversity or real-world clinical settings, devices may fail to generalize. Therefore, promoting transparency, rigorous validation, and the creation of inclusive and open datasets is indispensable to ensure the safety, equity, and efficacy of these innovations in real-world clinical practice.
Source: eldia.com.doPublished on 2023-12-13
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