Aller au contenu principal
Profil bibliographique

Georgia Fox

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

8Publications signalées
130Citations signalées
1Affiliations récentes

Les institutions déclarées

Les domaines associés

AI in cancer detectionArtificial Intelligence in Healthcare and EducationShoulder Injury and TreatmentGlobal Cancer Incidence and ScreeningTendon Structure and Treatment

Les publications récentes

Accès ouvert 2025 article OpenAlex

Assessing artificial intelligence in breast screening with stratified results on 306 839 mammograms across geographic regions, age, breast density and ethnicity: A Retrospective Investigation Evaluating Screening (ARIES) study

Cary Oberije, Rachel Currie, Alice Leaver, Alan Redman et autres

OBJECTIVES: Evaluate an Artificial Intelligence (AI) system in breast screening through stratified results across age, breast density, ethnicity and screening centres, from different UK regions. METHODS: A large-scale retrospective study evaluating two variations of using AI as an independent second reader in …

gb, us (code pays fourni par la source)

9 citations BMJ Health & Care Informatics
Accès ouvert 2023 article OpenAlex

Multi-vendor evaluation of artificial intelligence as an independent reader for double reading in breast cancer screening on 275,900 mammograms

Nisha Sharma, A.Y. Ng, Jonathan J. James, Galvin Khara et autres

BACKGROUND: Double reading (DR) in screening mammography increases cancer detection and lowers recall rates, but has sustainability challenges due to workforce shortages. Artificial intelligence (AI) as an independent reader (IR) in DR may provide a cost-effective solution with the potential to improve …

gb, hu, de (code pays fourni par la source)

65 citations BMC Cancer
Accès ouvert 2021 preprint OpenAlex

Retrospective large-scale evaluation of an AI system as an independent reader for double reading in breast cancer screening

Nisha Sharma, Annie Ng, Jonathan J. James, Galvin Khara et autres

Abstract Importance Screening mammography with two human readers increases cancer detection and lowers recall rates, but workforce shortages make double reading unsustainable in many countries. Artificial intelligence (AI) as an independent reader in double reading may support screening performance while improving cost-effectiveness. …

gb, hu, ch (code pays fourni par la source)

17 citations medRxiv

BNTIC News n’est pas le producteur de ces données. Les publications sont interrogées à la demande dans Crossref, OpenAIRE, DOAJ, Europe PMC, HAL, DataCite, AfricArXiv, ROR et la Banque mondiale, sans clé d’accès. OpenAlex reste optionnel. Aucun service payant n’est nécessaire et aucune donnée externe n’est enregistrée en base. Consulter les sources et leurs limites.