Cargando…

Artificial Intelligence to Reduce Ocular Health Disparities: Moving From Concept to Implementation

Detalles Bibliográficos
Autores principales:	Campbell, John P., Mathenge, Ciku, Cherwek, Hunter, Balaskas, Konstantinos, Pasquale, Louis R., Keane, Pearse A., Chiang, Michael F.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	The Association for Research in Vision and Ophthalmology 2021
Materias:	Perspective
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7991919/ https://www.ncbi.nlm.nih.gov/pubmed/34003953 http://dx.doi.org/10.1167/tvst.10.3.19

Ejemplares similares

Impact of Artificial Intelligence on Medical Education in Ophthalmology
por: Valikodath, Nita G., et al.
Publicado: (2021)

Moving towards vertically integrated artificial intelligence development
por: Zhang, Joe, et al.
Publicado: (2022)

Health Economic and Safety Considerations for Artificial Intelligence Applications in Diabetic Retinopathy Screening
por: Xie, Yuchen, et al.
Publicado: (2020)

The importance of the perioperative nurse
por: Mathenge, Ciku
Publicado: (2020)

Implementing an integrated primary eye care programme in Rwanda
por: Mathenge, Ciku
Publicado: (2021)

The benefits of developing research skills: an ophthalmologist's perspective
por: Mathenge, Ciku
Publicado: (2022)

A Clinician's Guide to Artificial Intelligence: How to Critically Appraise Machine Learning Studies
por: Faes, Livia, et al.
Publicado: (2020)

Safety and efficacy of an artificial intelligence-enabled decision tool for treatment decisions in neovascular age-related macular degeneration and an exploration of clinical pathway integration and implementation: protocol for a multi-methods validation study
por: Hogg, Henry David Jeffry, et al.
Publicado: (2023)

Artificial intelligence and deep learning in ophthalmology
por: Ting, Daniel Shu Wei, et al.
Publicado: (2019)

Cleaning the operating theatre
por: Mathenge, Ciku, et al.
Publicado: (2021)

On scientific understanding with artificial intelligence
por: Krenn, Mario, et al.
Publicado: (2022)

Artificial intelligence powers digital medicine
por: Fogel, Alexander L., et al.
Publicado: (2018)

Neuro-symbolic approaches in artificial intelligence
por: Hitzler, Pascal, et al.
Publicado: (2022)

Impact of Artificial Intelligence Assessment of Diabetic Retinopathy on Referral Service Uptake in a Low-Resource Setting: The RAIDERS Randomized Trial
por: Mathenge, Wanjiku, et al.
Publicado: (2022)

Artificial Intelligence and Integrated Genotype–Phenotype Identification
por: Frey, Lewis J.
Publicado: (2018)

Toward understanding the impact of artificial intelligence on labor
por: Frank, Morgan R., et al.
Publicado: (2019)

Biomedical Vibrational Spectroscopy in the Era of Artificial Intelligence
por: Mantsch, Henry Horst
Publicado: (2021)

Empowering local communities using artificial intelligence
por: Hsu, Yen-Chia, et al.
Publicado: (2022)

Can artificial intelligence help for scientific writing?
por: Salvagno, Michele, et al.
Publicado: (2023)

The potential and pitfalls of artificial intelligence in clinical pharmacology
por: Johnson, Martin, et al.
Publicado: (2023)

Artificial intelligence in ophthalmological practice: when ideal meets reality
por: Heindl, Ludwig M, et al.
Publicado: (2023)

Artificial Intelligence and Pharmacometrics: Time to Embrace, Capitalize, and Advance?
por: Chaturvedula, Ayyappa, et al.
Publicado: (2019)

Artificial intelligence for precision oncology: beyond patient stratification
por: Azuaje, Francisco
Publicado: (2019)

Pragmatic considerations for fostering reproducible research in artificial intelligence
por: Carter, Rickey E., et al.
Publicado: (2019)

Evaluating artificial intelligence in medicine: phases of clinical research
por: Park, Yoonyoung, et al.
Publicado: (2020)

Artificial Intelligence in Radiology: A Call for Thoughtful Application
por: Driver, C. Noelle, et al.
Publicado: (2019)

The role of artificial intelligence in achieving the Sustainable Development Goals
por: Vinuesa, Ricardo, et al.
Publicado: (2020)

Artificial Intelligence in Medical OSCEs: Reflections and Future Developments
por: Soong, Tse Kiat, et al.
Publicado: (2021)

Artificial intelligence in medical ultrasonography: driving on an unpaved road
por: Kim, Young H.
Publicado: (2021)

Artificial intelligence in oncology: current applications and future perspectives
por: Luchini, Claudio, et al.
Publicado: (2021)

Smart Diagnostics: Combining Artificial Intelligence and In Vitro Diagnostics
por: McRae, Michael P., et al.
Publicado: (2022)

Promise and Provisos of Artificial Intelligence and Machine Learning in Healthcare
por: Bhardwaj, Anish
Publicado: (2022)

Factors governing the adoption of artificial intelligence in healthcare providers
por: Davenport, Thomas H., et al.
Publicado: (2022)

Engineering In vitro Models: Bioprinting of Organoids with Artificial Intelligence
por: Lee, Hyungseok
Publicado: (2023)

Towards Artificial Intelligence Applications in Next Generation Cytopathology
por: Giarnieri, Enrico, et al.
Publicado: (2023)

Considerations for addressing bias in artificial intelligence for health equity
por: Abràmoff, Michael D., et al.
Publicado: (2023)

Artificial intelligence for ocular oncology
por: Koseoglu, Neslihan Dilruba, et al.
Publicado: (2023)

The Diversity Efforts Disparity in Academic Medicine
por: Campbell, Kendall M.
Publicado: (2021)

A short guide for medical professionals in the era of artificial intelligence
por: Meskó, Bertalan, et al.
Publicado: (2020)

Artificial Intelligence Meets Citizen Science to Supercharge Ecological Monitoring
por: McClure, Eva C., et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_8b7c5c32deusdbieipn56vq6lj