Evidence map›Paper›PMID 39959510›Full record

ArticleInternational journal of yoga

Harnessing the Potential of Artificial Intelligence in Yoga Therapy.

Nitu Sinha, Rajesh Kumar Sinha

Abstract read
In one paragraph

Article in International journal of yoga. 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

2 authors.

Nitu SinhaFaculty of Naturopathy and Yogic Sciences, Shree Guru Gobind Singh Tricentenary University, Gurugram, Haryana, India.
Rajesh Kumar SinhaDean-Academics, Shree Guru Gobind Singh Tricentenary University, Gurugram, Haryana, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Integrating artificial intelligence (AI) into yoga therapy represents a transformative paradigm shift in holistic health management. This article explores the evolving landscape of AI in yoga therapy, encompassing recent advancements, potential applications, ethical considerations, and implications for well-being. Recent advancements in AI have enabled real-time monitoring and personalized interventions during yoga practice, offering unprecedented customization and efficacy. AI-powered virtual assistants and telehealth platforms extend the reach of yoga therapy interventions, enhancing accessibility and inclusivity. However, ethical considerations surrounding privacy, autonomy, equity, transparency, and cultural sensitivity must be carefully addressed to ensure responsible deployment and safeguard the well-being of individuals. By prioritizing ethical principles and values, stakeholders can harness AI's transformative potential to advance the yoga therapy field and promote holistic well-being for individuals and communities worldwide.

Indexed as

Artificial intelligencehealth and wellnesspredictive analysisyoga therapy

Identifiers

PMID39959510
PMCPMC11823551

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

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.