Cargando…

Large-scale generative simulation artificial intelligence: The next hotspot

Detalles Bibliográficos
Autores principales:	Wang, Qi, Feng, Yanghe, Huang, Jincai, Lv, Yiqin, Xie, Zheng, Gao, Xiaoshan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Elsevier 2023
Materias:	Commentary
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10616373/ https://www.ncbi.nlm.nih.gov/pubmed/37915361 http://dx.doi.org/10.1016/j.xinn.2023.100516

Ejemplares similares

Preventing the next pandemic: Use of artificial intelligence for epidemic monitoring and alerts
por: MacIntyre, C. Raina, et al.
Publicado: (2022)

Next-Generation Biowarfare: Small in Scale, Sensational in Nature?
por: Gisselsson, David
Publicado: (2022)

Artificial intelligence for the next generation of precision oncology
por: Ballester, Pedro J., et al.
Publicado: (2021)

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

Artificial intelligence for science—bridging data to wisdom
por: Xu, Yongjun, et al.
Publicado: (2023)

Integrative Analysis of Next-Generation Sequencing for Next-Generation Cancer Research toward Artificial Intelligence
por: Park, Youngjun, et al.
Publicado: (2021)

Artificial intelligence, human intelligence, and the future of public health
por: Bhattacharya, Sudip
Publicado: (2022)

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

Algoman: Gearing up for the “Net Generation” and Era of Artificial Intelligence, One Step at a Time
por: Deopujari, Satish, et al.
Publicado: (2019)

Artificial intelligence in laparoscopic simulation: a promising future for large-scale automated evaluations
por: Belmar, Francisca, et al.
Publicado: (2022)

The promise of next generation colloids
por: Creagh-Brown, Ben C, et al.
Publicado: (2008)

Large-scale generation of differentiated cells to achieve regenerative medicine
por: Sasaki, Katsunori
Publicado: (2014)

Artificial intelligence in breast cancer diagnostics
por: La Porta, Caterina AM., et al.
Publicado: (2022)

Artificial Intelligence in Dermatology: Challenges and Perspectives
por: Liopyris, Konstantinos, et al.
Publicado: (2022)

Next-Generation Technologies in Dermatology: Use of Artificial Intelligence and Mobile Applications
por: De, Abhishek
Publicado: (2020)

Commentary: A mobile application for generating differential diagnosis in neuro-ophthalmology – New tool using artificial intelligence
por: Sudhakar, Padmaja
Publicado: (2021)

Can artificial intelligence-strengthened ChatGPT or other large language models transform nucleic acid research?
por: Chatterjee, Srijan, et al.
Publicado: (2023)

Best practices for implementing ChatGPT, large language models, and artificial intelligence in qualitative and survey-based research
por: Kantor, Jonathan
Publicado: (2023)

Deciphering congenital anomalies for the next generation
por: Wojcik, Monica H., et al.
Publicado: (2020)

Artificial intelligence-directed prognostication of breast cancer
por: Nasrazadani, Azadeh, et al.
Publicado: (2019)

Artificial Intelligence and Big Data in Public Health
por: Benke, Kurt, et al.
Publicado: (2018)

The role of artificial intelligence in tackling COVID-19
por: Arora, Neelima, et al.
Publicado: (2020)

Artificial intelligence: opportunities and implications for the health workforce
por: Hazarika, Indrajit
Publicado: (2020)

Commentary: Artificial intelligence–A game changer
por: Ahuja, Ashish, et al.
Publicado: (2020)

Explainable Artificial Intelligence in Endocrinological Medical Research
por: Webb-Robertson, Bobbie-Jo M
Publicado: (2021)

Artificial intelligence in ophthalmology: A multidisciplinary approach
por: Ahuja, Abhimanyu S., et al.
Publicado: (2022)

Commentary: Artificial intelligence-based screening of retina
por: Bansal, Mayank, et al.
Publicado: (2022)

Commentary: Is human supervision needed for artificial intelligence?
por: Akkara, John Davis, et al.
Publicado: (2022)

Predicting or Pretending: Artificial Intelligence for Protein-Ligand Interactions Lack of Sufficiently Large and Unbiased Datasets
por: Yang, Jincai, et al.
Publicado: (2020)

Commentary: Simulations in Breast Cancer: The Next Steps
por: Walsh, Kieran
Publicado: (2014)

The Application of Digital Technologies and Artificial Intelligence in Healthcare: An Overview on Nutrition Assessment
por: Salinari, Alessia, et al.
Publicado: (2023)

Guinea’s response to syndemic hotspots
por: Kolie, Delphin, et al.
Publicado: (2021)

Artificial intelligence-driven systems engineering for next-generation plant-derived biopharmaceuticals
por: Parthiban, Subramanian, et al.
Publicado: (2023)

Advancing the Next Generation of Health Risk Assessment
por: Cote, Ila, et al.
Publicado: (2012)

Cultivating the next generation of tobacco endgame advocates
por: Tam, Jamie
Publicado: (2013)

A path to next-generation reproducibility in cheminformatics
por: Clark, Robert D.
Publicado: (2019)

The next generation of malaria treatments: the great expectations
por: Abumsimir, Berjas, et al.
Publicado: (2023)

Artificially intelligent proteomics improves cardiovascular risk assessment
por: Sze, Siu Kwan
Publicado: (2019)

Artificial intelligence to support clinical decision-making processes
por: Garcia-Vidal, Carolina, et al.
Publicado: (2019)

Commentary: Rise of machine learning and artificial intelligence in ophthalmology
por: Akkara, John Davis, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_rqsamgem24j58i4ah8dkthilri