Evidence map›Paper›PMID 38524514›Full record

ArticleWorld journal of clinical cases2024

Relevance of sleep for wellness: New trends in using artificial intelligence and machine learning.

Deb Sanjay Nag, Amlan Swain, Seelora Sahu, Abhishek Chatterjee, Bhanu Pratap Swain

Abstract readEditorial
PubMed Full text at PMC Publisher
In one paragraph

Article in World journal of clinical cases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Deb Sanjay NagDepartment of Anaesthesiology, Tata Main Hospital, Jamshedpur 831001, Jharkhand, India. ds.nag@tatasteel.com.
Amlan SwainDepartment of Anaesthesiology, Tata Main Hospital, Jamshedpur 831001, Jharkhand, India.
Seelora SahuDepartment of Anaesthesiology, Tata Main Hospital, Jamshedpur 831001, Jharkhand, India.
Abhishek ChatterjeeDepartment of Anaesthesiology, Tata Main Hospital, Jamshedpur 831001, Jharkhand, India.
Bhanu Pratap SwainDepartment of Anaesthesiology, Tata Main Hospital, Jamshedpur 831001, Jharkhand, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sleep and well-being have been intricately linked, and sleep hygiene is paramount for developing mental well-being and resilience. Although widespread, sleep disorders require elaborate polysomnography laboratory and patient-stay with sleep in unfamiliar environments. Current technologies have allowed various devices to diagnose sleep disorders at home. However, these devices are in various validation stages, with many already receiving approvals from competent authorities. This has captured vast patient-related physiologic data for advanced analytics using artificial intelligence through machine and deep learning applications. This is expected to be integrated with patients' Electronic Health Records and provide individualized prescriptive therapy for sleep disorders in the future.

Indexed as

AlgorithmsArtificial intelligenceMachine learningObstructiveSleep apneaSleep initiation and maintenance disorders

Identifiers

PMID38524514
PMCPMC10955542

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.