Evidence map›Paper›PMID 42871176›Full record

ArticleFrontiers in digital health2026

Strengthening mental health care in Somalia through artificial intelligence: opportunities, challenges, and a roadmap for implementation.

Nur Adam Mohamed

Abstract read
In one paragraph

Article in Frontiers in digital 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

1 author.

Nur Adam MohamedDepartment of Psychiatry, Mogadishu Somali-Turkiye Recep Tayyip Erdogan Training and Research Hospital, Mogadishu, Somalia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mental health needs in Somalia are substantial, yet access to timely, high-quality care remains constrained by workforce shortages, limited infrastructure and financing, fragmented services, weak health information systems, and persistent sociocultural barriers. Artificial intelligence (AI) may complement mental health system strengthening in this fragile and resource-constrained setting. This Perspective examines potential applications of AI across Somalia's mental health system and considers the associated implementation, ethical, governance, and equity challenges. Potential applications include AI-assisted screening, clinical decision support, telepsychiatry, digital interventions, predictive analytics, surveillance, health-system planning, and research. Responsible adoption will require locally representative data, appropriate infrastructure and governance, workforce capacity, sociocultural adaptation, equitable access, and sustainable financing. This Perspective proposes a phased roadmap progressing from infrastructure and governance to pilot testing, capacity building, implementation research, and conditional national scale-up. AI should augment rather than replace mental health professionals and remain integrated within broader health-system investment. With local adaptation, community engagement, and continuous evaluation, AI could contribute to more accessible, equitable, resilient, and human-centered mental health care in Somalia.

Indexed as

artificial intelligencedigital mental healthglobal mental healthhealth system strengtheningmental health systemsSomalia

Identifiers

PMID42871176
PMCPMC13658170

What OpenQuestion holds

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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.