Cargando…

Overview of Explainable Artificial Intelligence for Prognostic and Health Management of Industrial Assets Based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses

Surveys on explainable artificial intelligence (XAI) are related to biology, clinical trials, fintech management, medicine, neurorobotics, and psychology, among others. Prognostics and health management (PHM) is the discipline that links the studies of failure mechanisms to system lifecycle manageme...

Descripción completa

Detalles Bibliográficos
Autores principales:	Nor, Ahmad Kamal Mohd, Pedapati, Srinivasa Rao, Muhammad, Masdi, Leiva, Víctor
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Review
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659640/ https://www.ncbi.nlm.nih.gov/pubmed/34884024 http://dx.doi.org/10.3390/s21238020

Ejemplares similares

To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems
por: Amann, Julia, et al.
Publicado: (2022)

Population Preferences for Performance and Explainability of Artificial Intelligence in Health Care: Choice-Based Conjoint Survey
por: Ploug, Thomas, et al.
Publicado: (2021)

Causability and explainability of artificial intelligence in medicine
por: Holzinger, Andreas, et al.
Publicado: (2019)

The Application of Artificial Intelligence Technology in the Asset Management of Start-Ups in the Context of Deep Learning
por: Fu, Qi, et al.
Publicado: (2022)

Overview of artificial intelligence in medicine
por: Amisha,, et al.
Publicado: (2019)

An overview of artificial intelligence in oncology
por: Farina, Eduardo, et al.
Publicado: (2022)

Artificial intelligence and Psychiatry: An overview
por: Ray, Adwitiya, et al.
Publicado: (2022)

Explainable Artificial Intelligence for Neuroscience: Behavioral Neurostimulation
por: Fellous, Jean-Marc, et al.
Publicado: (2019)

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

Artificial intelligence explainability: the technical and ethical dimensions
por: McDermid, John A., et al.
Publicado: (2021)

Explainable Artificial Intelligence for Predictive Modeling in Healthcare
por: Yang, Christopher C.
Publicado: (2022)

Applications of Explainable Artificial Intelligence in Diagnosis and Surgery
por: Zhang, Yiming, et al.
Publicado: (2022)

Application of Artificial Intelligence in Food Industry—a Guideline
por: Mavani, Nidhi Rajesh, et al.
Publicado: (2021)

Application of Artificial Intelligence in Medicine: An Overview
por: Liu, Peng-ran, et al.
Publicado: (2021)

Artificial Intelligence in Veterinary Imaging: An Overview
por: Pereira, Ana Inês, et al.
Publicado: (2023)

An Artificial Intelligence Approach for Expurgating Edible and Non-Edible Items
por: Kumar, Dilip, et al.
Publicado: (2022)

Explainability for artificial intelligence in healthcare: a multidisciplinary perspective
por: Amann, Julia, et al.
Publicado: (2020)

Editorial: Explainable Artificial Intelligence (XAI) in Systems Neuroscience
por: Lombardi, Angela, et al.
Publicado: (2021)

Explainable vs. interpretable artificial intelligence frameworks in oncology
por: Bertsimas, Dimitris, et al.
Publicado: (2023)

Beauty is in the explainable artificial intelligence (XAI) of the “agnostic” beholder
por: Laios, Alexandros, et al.
Publicado: (2023)

Explainable Artificial Intelligence in the Early Diagnosis of Gastrointestinal Disease
por: Lee, Kwang-Sig, et al.
Publicado: (2022)

Editorial: Explainable artificial intelligence for critical healthcare applications
por: He, Zhe, et al.
Publicado: (2023)

Enhanced Dual Convolutional Neural Network Model Using Explainable Artificial Intelligence of Fault Prioritization for Industrial 4.0
por: Kidambi Raju, Sekar, et al.
Publicado: (2023)

Applications of Artificial Intelligence in Ophthalmology: General Overview
por: Lu, Wei, et al.
Publicado: (2018)

Role of Artificial Intelligence in TeleStroke: An Overview
por: Ali, Faryal, et al.
Publicado: (2020)

Artificial intelligence in gastrointestinal endoscopy: general overview
por: El Hajjar, Ahmad, et al.
Publicado: (2020)

Artificial intelligence in peritoneal dialysis: general overview
por: Bai, Qiong, et al.
Publicado: (2022)

Clinical Applications of Artificial Intelligence—An Updated Overview
por: Busnatu, Ștefan, et al.
Publicado: (2022)

Validation studies of the ParaDNA(®) Intelligence System with artificial evidence items
por: Li, Min, et al.
Publicado: (2019)

Artificial Intelligence (AI) in Pharmacy: An Overview of Innovations
por: Raza, Muhammad Ahmer, et al.
Publicado: (2022)

Developmental assets, creativity, thriving, and mental health among Malaysian emerging adults
por: Abdul Kadir, Nor Ba’yah, et al.
Publicado: (2022)

Applications of artificial intelligence techniques in the petroleum industry
por: Hemmat-Sarapardeh, Abdolhossein, et al.
Publicado: (2020)

Explainable and trustworthy artificial intelligence for correctable modeling in chemical sciences
por: Feng, Jinchao, et al.
Publicado: (2020)

Artificial Intelligence, Responsibility Attribution, and a Relational Justification of Explainability
por: Coeckelbergh, Mark
Publicado: (2019)

Explainable artificial intelligence for heart rate variability in ECG signal
por: K., Sanjana, et al.
Publicado: (2020)

Editorial: Explainable Artificial Intelligence and Neuroscience: Cross-Disciplinary Perspectives
por: Krichmar, Jeffrey L., et al.
Publicado: (2021)

A mental models approach for defining explainable artificial intelligence
por: Merry, Michael, et al.
Publicado: (2021)

Editorial: Explainable artificial intelligence models and methods in finance and healthcare
por: Caffo, Brian S., et al.
Publicado: (2022)

Patient-level proteomic network prediction by explainable artificial intelligence
por: Keyl, Philipp, et al.
Publicado: (2022)

Explainable artificial intelligence for precision medicine in acute myeloid leukemia
por: Gimeno, Marian, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_f4o28g5ta7ip9ohnp43r1ihg0s