Artificial Intelligence in Neurology

AI tools identify disease patterns, automate imaging analysis, and support clinical decisions. Algorithms detect subtle features not easily recognized by humans. Predictive modeling helps anticipate outcomes and personalize treatment. Large datasets improve accuracy and reliability. AI continues to redefine diagnostic efficiency. Implementation requires careful attention to fairness, privacy, and transparency. Speakers share examples of successful integration in real clinical environments. Validation studies ensure tools perform consistently across populations. Ethical considerations guide development and deployment. The track promotes responsible and impactful use of AI.

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