Cargando…

Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare

Machine learning (ML) and artificial intelligence (AI) algorithms have the potential to derive insights from clinical data and improve patient outcomes. However, these highly complex systems are sensitive to changes in the environment and liable to performance decay. Even after their successful inte...

Descripción completa

Detalles Bibliográficos
Autores principales:	Feng, Jean, Phillips, Rachael V., Malenica, Ivana, Bishara, Andrew, Hubbard, Alan E., Celi, Leo A., Pirracchio, Romain
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2022
Materias:	Perspective
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9156743/ https://www.ncbi.nlm.nih.gov/pubmed/35641814 http://dx.doi.org/10.1038/s41746-022-00611-y

Ejemplares similares

The “inconvenient truth” about AI in healthcare
por: Panch, Trishan, et al.
Publicado: (2019)

The clinical artificial intelligence department: a prerequisite for success
por: Cosgriff, Christopher V., et al.
Publicado: (2020)

Clinical use of artificial intelligence requires AI-capable organizations
por: Novak, Laurie Lovett, et al.
Publicado: (2023)

Catalyzing next-generation Artificial Intelligence through NeuroAI
por: Zador, Anthony, et al.
Publicado: (2023)

Recommendations for the use of pediatric data in artificial intelligence and machine learning ACCEPT-AI
por: Muralidharan, V., et al.
Publicado: (2023)

Augmented Intelligence in Joint Replacement Surgery: How can artificial intelligence (AI) bridge the gap between the man and the machine?
por: Bagaria, Vaibhav, et al.
Publicado: (2022)

Artificial Intelligence Chatbots and Emergency Medical Services: Perspectives on the Implications of Generative AI in Prehospital Care
por: Ventura, Christian Angelo I, et al.
Publicado: (2023)

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)

MINIMAR (MINimum Information for Medical AI Reporting): Developing reporting standards for artificial intelligence in health care
por: Hernandez-Boussard, Tina, et al.
Publicado: (2020)

Integration and Co-design of Memristive Devices and Algorithms for Artificial Intelligence
por: Wang, Wei, et al.
Publicado: (2020)

Guiding principles for the responsible development of artificial intelligence tools for healthcare
por: Badal, Kimberly, et al.
Publicado: (2023)

Advances in artificial intelligence (AI)-based diagnosis in clinical practice—correspondence
por: Chakraborty, Sandip, et al.
Publicado: (2023)

Road map for research on responsible artificial intelligence for development (AI4D) in African countries: The case study of agriculture
por: Gwagwa, Arthur, et al.
Publicado: (2021)

COVID-19 pandemic and artificial intelligence possibilities: A healthcare perspective
por: Gupta, R.M., et al.
Publicado: (2021)

Evidence synthesis, digital scribes, and translational challenges for artificial intelligence in healthcare
por: Coiera, Enrico, et al.
Publicado: (2022)

A normative framework for artificial intelligence as a sociotechnical system in healthcare
por: McCradden, Melissa D., et al.
Publicado: (2023)

The “Ecosystem as a Service (EaaS)” approach to advance clinical artificial intelligence (cAI)
por: Ishii-Rousseau, Julian Euma, et al.
Publicado: (2022)

Stigma, biomarkers, and algorithmic bias: recommendations for precision behavioral health with artificial intelligence
por: Walsh, Colin G, et al.
Publicado: (2020)

Adopting and expanding ethical principles for generative artificial intelligence from military to healthcare
por: Oniani, David, et al.
Publicado: (2023)

Ventricular Septal Rupture and Artificial Intelligence (AI)-Assisted Healthcare
por: Lal Vallath, Aditya, et al.
Publicado: (2023)

Healthcare artificial intelligence: the road to hell is paved with good intentions
por: Iqbal, Usman, et al.
Publicado: (2022)

Optimizing human-centered AI for healthcare in the Global South
por: Okolo, Chinasa T.
Publicado: (2022)

Sharing Biomedical Data: Strengthening AI Development in Healthcare
por: Pereira, Tania, et al.
Publicado: (2021)

A translational perspective towards clinical AI fairness
por: Liu, Mingxuan, et al.
Publicado: (2023)

Hands-on artificial intelligence for beginners: an introduction to AI concepts, algorithms, and their implementation
por: Smith, Patrick D
Publicado: (2018)

A Perspective from a Case Conference on Comparing the Diagnostic Process: Human Diagnostic Thinking vs. Artificial Intelligence (AI) Decision Support Tools
por: Harada, Taku, et al.
Publicado: (2020)

AI in healthcare: how artificial intelligence is changing IT operations and infrastructure services
por: Shimonski, Robert
Publicado: (2021)

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

On the Coronavirus (COVID-19) Outbreak and the Smart City Network: Universal Data Sharing Standards Coupled with Artificial Intelligence (AI) to Benefit Urban Health Monitoring and Management
por: Allam, Zaheer, et al.
Publicado: (2020)

Artificial intelligence (AI) in biomedical research: discussion on authors’ declaration of AI in their articles title
por: Sardanelli, Francesco, et al.
Publicado: (2023)

The imperative for regulatory oversight of large language models (or generative AI) in healthcare
por: Meskó, Bertalan, et al.
Publicado: (2023)

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)

Women’s perspectives on the use of artificial intelligence (AI)-based technologies in mental healthcare
por: Reading Turchioe, Meghan, et al.
Publicado: (2023)

Artificial Intelligence (AI) and Robotics in Elderly Healthcare: Enabling Independence and Quality of Life
por: Padhan, Srikanta, et al.
Publicado: (2023)

AI (Artificial Intelligence) and Hypertension Research
por: Mueller, Franco B.
Publicado: (2020)

Expectations for Artificial Intelligence (AI) in Psychiatry
por: Monteith, Scott, et al.
Publicado: (2022)

Artificial intelligence (AI) in healthcare and biomedical research: Why a strong computational/AI bioethics framework is required?
por: Bali, Jatinder, et al.
Publicado: (2019)

The medical AI insurgency: what physicians must know about data to practice with intelligent machines
por: Miller, D. Douglas
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_l4lme8he12tviad1948g1rs41g