Achieving Equity in an Age of Artificial Intelligence.
This article focuses on advancing health equity through the implementation of race-conscious approaches in pediatric clinical practice, particularly in clinical practice guidelines (CPGs) and clinical reports (CRs). It highlights persistent barriers to adopting race-conscious medicine and emphasizes...
| Publicado en: | Pediatrics Vol. 158; pp. 1 - 4 |
|---|---|
| Autores principales: | , |
| Formato: | Journal Article |
| Publicado: |
American Academy of Pediatrics
2026 Suppl
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=195831021&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 195831021 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00314005 PDT jtl: Pediatrics issn: 00314005 maglogo: N pubinfo: dt: 2026 Suppl vid: 158 pid: 1659 pub: American Academy of Pediatrics place: Elk Grove Village, Illinois artinfo: ui: 195831021 10.1542/peds.2026-076070G 195831021 ppf: 1 ppct: 3 formats: tig: atl: Achieving Equity in an Age of Artificial Intelligence. aug: au: Mistry, Kamila B. Cheng, Tina L. affil: Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, Maryland sug: subj: Artificial Intelligence Evaluation Health Care Delivery Race Factors Medical Practice Practice Guidelines Pediatrics Reports Medicine Implementation Science Communication Healthcare Disparities Physicians Medical Care Validity Honesty Decision Support Systems, Clinical ab: This article focuses on advancing health equity through the implementation of race-conscious approaches in pediatric clinical practice, particularly in clinical practice guidelines (CPGs) and clinical reports (CRs). It highlights persistent barriers to adopting race-conscious medicine and emphasizes the importance of dissemination and implementation (D&I) science frameworks to facilitate equitable adoption across healthcare settings. The article also addresses the growing role of artificial intelligence (AI) in evidence-based medicine, noting both its potential to improve care and the risks of perpetuating bias due to nonrepresentative data and opaque algorithms. Key stakeholders, including medical societies, researchers, healthcare organizations, and AI industry partners, are identified as essential to developing transparent, trustworthy AI tools that support equitable pediatric care. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|