Evidence map›Paper›PMID 42676713›Full record

ArticleFrontiers in public health2026

Reimagining maternal and infant wellbeing through AI-embedded integrative arts-based care: a public health perspective.

Feng Li, Sinuo Chen, Haoyu Suo, Chengmeng Zhang

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. 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

4 authors.

Feng LiSchool of Music, Anyang Normal University, Anyang, Henan Province, China.
Sinuo ChenArt & Technology/Sound Practices Department, School of the Art Institute of Chicago (SAIC), Chicago, IL, United States.
Haoyu SuoSocial Development Research Institute, National Development and Reform Commission of China, Beijing, China.
Chengmeng ZhangInstitute of Population Research, Peking University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The peripartum period and early parenting are critical phases for maternal health, infant development, family functioning, and long-term wellbeing. Although maternal and child health services have traditionally prioritized pregnancy safety, childbirth security, and neonatal survival, contemporary public health agendas increasingly emphasize maternal mental health, positive birth and postnatal experiences, parent-infant bonding, and family-centered support. Evidence suggests that music therapy, mindful music listening, artistic expression, doula support, aromatherapy, parent-infant singing, and parental voice interaction may help reduce pregnancy related anxiety, labor pain, fear of cesarean birth, postpartum psychological distress, and neonatal pain, while also supporting early relational care. However, current applications remain fragmented, often limited to single interventions, isolated settings, short care periods, and insufficient personalization. This Perspective proposes an AI-embedded integrative arts-based care framework for promoting maternal and infant wellbeing across pregnancy, childbirth and cesarean birth, postpartum recovery, neonatal intensive care, and home and community follow up. Within this framework, artificial intelligence is conceptualized as a supportive coordination infrastructure rather than a substitute for professional care. It may assist risk identification, needs profiling, personalized intervention matching, dynamic monitoring, adaptive feedback, referral linkage, and continuity across hospital, community, and family settings. The framework further emphasizes professional oversight, human verification, privacy protection, equitable access, and ethical governance. By integrating arts-based support with responsible AI-enabled coordination, this Perspective reimagines non-pharmacological maternal and infant care as a continuous, human-led, family-participatory public health pathway for diverse perinatal care contexts.

Indexed as

Infant HealthMaternal HealthPublic HealthFemaleHumansInfantInfant, NewbornPregnancyartificial intelligencearts-based carematernal and infant healthnon-pharmacological interventionsperinatal carepublic health

Identifiers

PMID42676713
PMCPMC13527033

What OpenQuestion holds

Textmetadata
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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.