☆ 4.7 Review

Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review

ARTIFICIAL INTELLIGENCE IN MEDICINE (2023)

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Summary: Amyotrophic lateral sclerosis (ALS) is an incurable and devastating neurodegenerative disease with limited treatment options. However, there is promising progress in potential treatments currently being tested in clinical trials. This review discusses recent advances in ALS biomarker research and applications, as well as future directions and needs.

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Summary: This study reviewed prognostic models for ALS and found methodological pitfalls and lack of external validation by fully independent researchers. Future research should focus on adding novel predictors, external validation, and head-to-head comparisons of existing models.

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Summary: Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease that causes rapid loss of motor neurons, affecting patients' motor and ventilatory functions, ultimately leading to respiratory failure. Researchers have proposed the sdtDBN framework, which combines dynamic and static variables, for predicting functional indicators in patients and understanding the influence of each variable before and after ventilatory support.

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