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ArticleHealth science reports2026

Artificial Intelligence Adoption in Healthcare Practice and Research: A Cross-Sectional Study of Knowledge, Attitudes, and Practices in Balochistan, Pakistan.

Zahra Ali, Humza Saeed, Tania Bahar, Muhammad Ali, Sangeen Khan Tareen, Muqaddas Bahar, Huma Ali, Saira Khan, Achit Kumar Singh, Aqeel Shah Gillani and 1 more

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Article in Health science reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Zahra AliDepartment of Internal Medicine Bolan Medical College Quetta Pakistan.
Humza SaeedDepartment of Internal Medicine Rawalpindi Medical College Rawalpindi Pakistan.ORCID https://orcid.org/0009-0003-0256-4272
Tania BaharDepartment of Internal Medicine Bolan Medical College Quetta Pakistan.
Muhammad AliDepartment of Internal Medicine Bolan Medical College Quetta Pakistan.
Sangeen Khan TareenDepartment of Internal Medicine Bolan Medical College Quetta Pakistan.
Muqaddas BaharDepartment of Internal Medicine Loralai Medical College Loralai Pakistan.
Huma AliDepartment of Internal Medicine Bolan Medical College Quetta Pakistan.
Saira KhanDepartment of Internal Medicine Bolan Medical College Quetta Pakistan.
Achit Kumar SinghDepartment of Internal Medicine Kist Medical College and Teaching Hospital Lalitpur Nepal.ORCID https://orcid.org/0009-0004-8516-1862
Aqeel Shah GillaniDepartment of Community Medicine Bolan Medical College Quetta Pakistan.
Raz Muhammad BazaiDepartment of Neurosurgery Bolan Medical College Quetta Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Artificial intelligence (AI) is a transformative technology in modern medicine, offering significant potential to enhance diagnostic accuracy and patient outcomes. In Pakistan, digital health integration varies across regions, with Balochistan remaining one of the most resource-limited provinces. This study assessed knowledge, attitudes, and practices (KAP) regarding AI among healthcare professionals in Balochistan and explored sociodemographic and institutional factors associated with AI adoption. Methods: An IRB-approved cross-sectional study was conducted using a KAP survey among healthcare professionals in Balochistan ( Results: Overall, 72.5% of participants demonstrated good knowledge of AI, while 39.2% exhibited a positive attitude, and 58.8% reported good AI-related practice. AI was most commonly used in clinical settings (60.1%), particularly in radiology (24.2%) and clinical decision support (26.1%). Participants with higher academic qualifications showed higher odds of good AI knowledge, although not statistically significant. Institutional affiliation was significantly associated with attitudes toward AI; participants from BMCH/Civil Hospital Quetta had lower odds of a positive attitude compared to those from QIMS/CMH Quetta (COR = 0.21; Conclusion: Despite relatively high awareness of AI among healthcare professionals in Balochistan, positive attitudes and consistent practical use remain limited. Institutional factors influence perceptions of AI. Targeted educational initiatives, structured training programs, and institutional support are needed to strengthen trust and facilitate effective integration of AI into healthcare practice in resource-limited settings.

Indexed as

artificial intelligence adoptionhealthcare professionalsknowledge–attitude–practice surveyresource‐limited settings

Identifiers

PMID42255072
PMCPMC13240052

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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.