Innovación en sueño
Resumen: Los avances en la medicina del sueño han impulsado mejoras significativas en el diagnóstico y tratamiento de trastornos del sueño como la apnea obstructiva del sueño (AOS). Este trastorno afecta a mil millones de personas en todo el mundo, y tradicionalmente el diagnóstico se basa en la pol...
Saved in:
| Main Authors: | Laura Vigil, Toni Zapata, Andrea Grau, Marta Bonet, Montserrat Montaña, María Piñar |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-10-01
|
| Series: | Open Respiratory Archives |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2659663625000062 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Diagnostic accuracy of artificial intelligence for obstructive sleep apnea detection: a systematic review
by: Sara Haghighat, et al.
Published: (2025-07-01) -
Status and opportunities of machine learning applications in obstructive sleep apnea: A narrative review
by: Matheus Lima Diniz Araujo, et al.
Published: (2025-01-01) -
Sleep Apnea Events Recognition Based on Polysomnographic Recordings: A Large-Scale Multi-Channel Machine Learning approach
by: Nicolo La Porta, et al.
Published: (2025-01-01) -
Editorial: Biological and digital markers in sleep, circadian rhythm and epilepsy using artificial intelligence
by: Haoqi Sun, et al.
Published: (2025-05-01) -
Barriers of artificial intelligence implementation in the diagnosis of obstructive sleep apnea
by: Hannah L. Brennan, et al.
Published: (2022-04-01)