The risks and benefits of using AI for diagnosis: beware of unconscious bias DOI
E. Ann Yeh, Michaël Levy, Chris Hawkes

и другие.

Multiple Sclerosis and Related Disorders, Год журнала: 2024, Номер 90, С. 105853 - 105853

Опубликована: Авг. 28, 2024

Язык: Английский

Artificial Intelligence Versus Neurologists: A Comparative Study on Multiple Sclerosis Expertise DOI

Aslı Yaman Kula,

Nazlı Durmaz Çeli K,

Serkan Özben

и другие.

Clinical Neurology and Neurosurgery, Год журнала: 2025, Номер 250, С. 108785 - 108785

Опубликована: Фев. 20, 2025

Язык: Английский

Процитировано

0
Digital remote monitoring of people with multiple sclerosis DOI Creative Commons
Michelangelo Dini,

Giancarlo Comi,

Letizia Leocani

и другие.

Frontiers in Immunology, Год журнала: 2025, Номер 16

Опубликована: Фев. 28, 2025

Introduction Multiple sclerosis (MS) is a chronic neurodegenerative disease that affects over 2.8 million people globally, leading to significant motor and non-motor symptoms. Effective monitoring critical for improving patient outcomes but often hindered by the limitations of infrequent clinical assessments. Digital remote tools leveraging big data AI offer new opportunities track symptoms in real time detect progression. Methods This narrative review explores recent advancements digital MS. We conducted PubMed search collect original studies aimed at evaluating use and/or pwMS. focus on techniques applied from wearable sensors, smartphones, other connected devices, as well AI-based methods analysis data. Results Wearable sensors machine learning algorithms show promise symptoms, such fall risk gait disturbances. Many have demonstrated their reliability not only settings independent execution assessments patients, also passive during everyday life. Cognitive monitoring, although less developed, has seen progress with AI-driven automate scoring neuropsychological tests analyse keystroke dynamics. However, cognitive still underdeveloped, compared Some preliminary evidence suggests application understudied aspects MS (namely sleep circadian autonomic patterns) may provide novel insights. Conclusion Advances exciting possibilities management potential revolutionize care providing continuous, long-term granular both While promising results been demonstrated, larger-scale more robust validation are needed fully integrate these into practice generalise wider population.

Язык: Английский

Процитировано

0
Faster and better than a physician?: Assessing diagnostic proficiency of ChatGPT in misdiagnosed individuals with neuromyelitis optica spectrum disorder DOI
Kevin Shan, Mahi A. Patel, Morgan McCreary

и другие.

Journal of the Neurological Sciences, Год журнала: 2024, Номер 468, С. 123360 - 123360

Опубликована: Дек. 19, 2024

Язык: Английский

Процитировано

0
The risks and benefits of using AI for diagnosis: beware of unconscious bias DOI
E. Ann Yeh, Michaël Levy, Chris Hawkes

и другие.

Multiple Sclerosis and Related Disorders, Год журнала: 2024, Номер 90, С. 105853 - 105853

Опубликована: Авг. 28, 2024

Язык: Английский

Процитировано

0