Five steps for the deployment of artificial intelligence-driven healthcare delivery for remote and indigenous populations in Canada DOI Creative Commons

Amal Khan,

Sandro Galea,

Ivar Mendez

и другие.

Digital Health, Год журнала: 2025, Номер 11

Опубликована: Апрель 1, 2025

The integration of artificial intelligence (AI) into healthcare delivery offers transformative potential, especially for remote and underserved populations. In rural regions like northern Saskatchewan, Canada, where Indigenous communities face elevated rates chronic conditions such as diabetes limited access to healthcare, AI-driven virtual care can bridge critical gaps. However, a universal approach falls short addressing the unique needs diverse This communication outlines five-step framework guide AI-facilitated tailored community-specific demographics clinical priorities. Steps include building comprehensive community profiles, assessing digital readiness, prioritizing needs, deploying culturally sensitive programs, evaluating outcomes with AI-powered analytics . By leveraging AI in systematic inclusive manner, this addresses social determinants health, improves equity, enhances quality, offering scalable model improve health geographically demographically settings.

Язык: Английский

Genetic and environmental factors contributing to anophthalmia and microphthalmia: Current understanding and future directions DOI
Shiwali Goyal, Shailja Tibrewal,

Ria Ratna

и другие.

World Journal of Clinical Pediatrics, Год журнала: 2025, Номер 14(2)

Опубликована: Март 18, 2025

Anophthalmia is defined as a complete absence of one eye or both the eyes, while microphthalmia represents presence small within orbit. The estimated birth prevalence for anophthalmia approximately 3 per 100000 live births, and microphthalmia, it around 14 births. However, combined evidence suggests that these malformations could be high 30 individuals. Microphthalmia reported to occur in 3.2% 11.2% blind children. (A/M) are part phenotypic spectrum alongside ocular coloboma, hypothesized share common genetic basis. Both A/M can isolation syndrome. Their complex etiology involves chromosomal aberrations, monogenic inheritance pattern, contribution environmental factors such gestational-acquired infections, maternal vitamin A deficiency (VAD), exposure X-rays, solvent misuse, thalidomide exposure. exhibit significant clinical heterogeneity with over 90 genes identified so far. Familial cases have basis, including all Mendelian modes inheritance, i.e. , autosomal dominant, recessive, X-linked. Most arise sporadically due de novo mutations. Examining gene expression during development effects various variables will help us better understand found A/M, leading more effective diagnosis management strategies. present review focuses on key factors, developmental abnormalities, modifiers linked A/M. It also emphasizes at potential research areas multiomic methods disease modeling induced pluripotent stem cell technologies, which aim create innovative treatment options.

Язык: Английский

Процитировано

0

Telemedicine Adoption and Prospects in Sub-Sahara Africa: A Systematic Review with a Focus on South Africa, Kenya, and Nigeria DOI Open Access
Abayomi O. Agbeyangi, Jose Manappattukunnel Lukose

Healthcare, Год журнала: 2025, Номер 13(7), С. 762 - 762

Опубликована: Март 29, 2025

Background/Objectives: Telemedicine has emerged as a transformative solution to healthcare access challenges in Sub-Saharan Africa, where many populations remain underserved. This systematic review focuses on the adoption, implementation, and technological prospects of telemedicine South Kenya, Nigeria, three countries leading region innovations. Methods: A search PubMed, Scopus, Web Science, guided by PRISMA protocols, identified 567 studies published between 2014 2024, which 53 met inclusion criteria with focus selected countries. structured critical appraisal was used assess potential biases included studies' design, selection criteria, reporting, while findings were thematically analysed provide actionable comparative insights. Results: The reveal that Africa highest adoption rate, focusing specialist teleconsultations, chronic disease management, mental health services. Kenya demonstrates strong mHealth integration advanced mobile applications, particularly maternal health, HIV care, sexual reproductive health. While facing infrastructural regulatory constraints, Nigeria is advancing innovations for remote diagnosis teleconsultation. Conclusions: By synthesising evidence from peer-reviewed literature, identifies trends, enabling factors, opportunities scaling these contexts. Despite advancements, persist, including gaps, digital literacy limitations, infrastructure constraints. Addressing barriers requires targeted investments broadband expansion, policy harmonisation, workforce training optimise telemedicine's impact ensure its sustainability delivery model Africa.

Язык: Английский

Процитировано

0

Impact of Artificial Intelligence on Periodontology: A Review DOI Open Access
Maitri M. Patel, Santosh Kumar, Bhavin Patel

и другие.

Cureus, Год журнала: 2025, Номер unknown

Опубликована: Март 25, 2025

Artificial intelligence (AI) is changing each of the healthcare fields, including periodontology, through improvement every diagnosis, treatment plan, and handling all patients. AI-driven technologies such as machine learning, deep computer vision are incorporated into radiographic analysis, automated disease detection, prognosis prediction. These improvements effectively enable early detection periodontal diseases efficient classification severity. In addition, they allow for specially personalized approaches. AI makes charting, virtual patient monitoring, decision support systems easier, which improve clinical outcomes care. Despite its immense potential, many substantial difficulties remain, data privacy, algorithm reliability, meaningful need validation. This review indicates revolutionary function in current dental works explores present uses, advantages, limits, possibilities periodontology.

Язык: Английский

Процитировано

0

Five steps for the deployment of artificial intelligence-driven healthcare delivery for remote and indigenous populations in Canada DOI Creative Commons

Amal Khan,

Sandro Galea,

Ivar Mendez

и другие.

Digital Health, Год журнала: 2025, Номер 11

Опубликована: Апрель 1, 2025

The integration of artificial intelligence (AI) into healthcare delivery offers transformative potential, especially for remote and underserved populations. In rural regions like northern Saskatchewan, Canada, where Indigenous communities face elevated rates chronic conditions such as diabetes limited access to healthcare, AI-driven virtual care can bridge critical gaps. However, a universal approach falls short addressing the unique needs diverse This communication outlines five-step framework guide AI-facilitated tailored community-specific demographics clinical priorities. Steps include building comprehensive community profiles, assessing digital readiness, prioritizing needs, deploying culturally sensitive programs, evaluating outcomes with AI-powered analytics . By leveraging AI in systematic inclusive manner, this addresses social determinants health, improves equity, enhances quality, offering scalable model improve health geographically demographically settings.

Язык: Английский

Процитировано

0