Results 211 to 220 of about 25,088 (256)

Explainable Artificial Intelligence in Healthcare: Current Landscape, Challenges, and Future Directions. [PDF]

Health Sci Rep
Shiddik MAB.
europepmc   +1 more source

Clinician-Centric Explainable Artificial Intelligence Framework for Medical Imaging Diagnostics: A Systematic Review. [PDF]

Int J Biomed Imaging
Ikerionwu C, Arungwa I, Emelogu TM, Nwabuike CE, Ukwandu E.   +4 more
europepmc   +1 more source

Explainable AI in healthcare: a systematic review of XAI use cases in imaging, diagnostics, and rehabilitation. [PDF]

Front Artif Intell
Aravindkumar A, Ramadoss M, Fakhruddin Ahmed SA, Sampath V, Lakshminarayanan K.   +4 more
europepmc   +1 more source

Editorial: AI with insight: explainable approaches to mental health screening and diagnostic tools in healthcare. [PDF]

Front Med (Lausanne)
Smrke U, Klén R, Mlakar I, Mulej Bratec S, Levkovich I.   +4 more
europepmc   +1 more source

Factors influencing the effectiveness of artificial intelligence-assisted decision-making in medicine: a scoping review. [PDF]

J Am Med Inform Assoc
Jackson NJ, Brown KE, Miller R, Murrow M, Cauley MR, Collins BX, Novak LL, Benda NC, Ancker JS.   +8 more
europepmc   +1 more source

Research trends and ethical perspectives on explainable artificial intelligence in emergency medicine: a bibliometric analysis. [PDF]

Scand J Trauma Resusc Emerg Med
Fındık M.
europepmc   +1 more source

The Emerging Role of Explainable Artificial Intelligence in EEG-Based Autism Research: A Systematic Review. [PDF]

NeuroSci
Martelli ME, Colella S, Meloni R, Gigliotti F, Rosato A, Panella M, Sogos C.   +6 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Explainable Artificial Intelligence (XAI) in auditing

International Journal of Accounting Information Systems, 2022
Miklós A Vasarhelyi
exaly   +2 more sources

Explainable Artificial Intelligence (XAI)

Journal of Nonlinear Analysis and Optimization, 2023
Explainable Artificial Intelligence (XAI) has emerged as a critical facet in the realm of machine learning and artificial intelligence, responding to the increasing complexity of models, particularly deep neural networks, and the subsequent need for transparent decision making processes.
Ranu Sewada, Ashwani Jangid, Piyush Kumar, Neha Mishra   +3 more
openaire   +2 more sources

Explainable Artificial Intelligence (XAI) for IoT

2023
Artificial Intelligence and Machine Learning are the latest topics across industries. A lot of concentration has been given to these areas and still the adoption has been challenged by users and experts in this field in the search for some kind of solution to be provided that the output can be trusted by all.
Prashant C. Dhas, Parikshit N. Mahalle, Gitanjali R. Shinde   +2 more
openaire   +1 more source