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ECTRIMS 2023 | The potential of machine learning in clinical decision-making

Elisa Colato, PhD, University College London, London, UK, highlights the potential of machine learning in clinical settings, emphasizing its capability to aid clinicians in their decision-making processes. While acknowledging the importance of proper study design and variable selection, machine learning can play a significant role in addressing currently unanswered questions in the medical domain. As technology evolves, machine learning tools are expected to become more integral in providing insights, guiding clinical interventions, and enhancing patient care. This interview took place at the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS) Congress 2023 in Milan, Italy.

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