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

et al.

Multiple Sclerosis and Related Disorders, Journal Year: 2024, Volume and Issue: 90, P. 105853 - 105853

Published: Aug. 28, 2024

Language: Английский

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

Aslı Yaman Kula,

Nazlı Durmaz Çeli K,

Serkan Özben

et al.

Clinical Neurology and Neurosurgery, Journal Year: 2025, Volume and Issue: 250, P. 108785 - 108785

Published: Feb. 20, 2025

Language: Английский

Citations

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

Giancarlo Comi,

Letizia Leocani

et al.

Frontiers in Immunology, Journal Year: 2025, Volume and Issue: 16

Published: Feb. 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.

Language: Английский

Citations

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

et al.

Journal of the Neurological Sciences, Journal Year: 2024, Volume and Issue: 468, P. 123360 - 123360

Published: Dec. 19, 2024

Language: Английский

Citations

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

et al.

Multiple Sclerosis and Related Disorders, Journal Year: 2024, Volume and Issue: 90, P. 105853 - 105853

Published: Aug. 28, 2024

Language: Английский

Citations

0