Results 101 to 110 of about 29,455 (191)

Explainable artificial intelligence in anesthesiology prediction models: bridging the gap from black-box algorithms to clinical decision support. [PDF]

Front Med (Lausanne)
Wang Y, Song Z, Wang H.
europepmc   +1 more source

Exploration and practice of XAI architecture

大数据
XAI(explainable AI) is an important component of trusted AI.In-depth research on the technology points of XAI has been carried out in the current industry, but systematic research on engineering implementation is lacking.This paper proposed a general XAI
Zhengxun XIA, Jianfei TANG, Yifan YANG, Shengmei LUO, Yan ZHANG, Fenglei TAN, Shengru TAN   +6 more
doaj  

Explainable artificial intelligence in medical ultrasound: a WoSCC-based bibliometric analysis, evidence map, and Scopus concordance assessment. [PDF]

Front Med (Lausanne)
Shi Z, Hu Z, Wang C, Yu C, Zhang W, Luo Y, Zhang C.   +6 more
europepmc   +1 more source

From black-box prediction to transparent insight: the status quo and paradigm shift of explainable artificial intelligence in hepatocellular carcinoma research. [PDF]

J Egypt Natl Canc Inst
Li Y, Li P.
europepmc   +1 more source

Explainable artificial intelligence in accounting and financial auditing: a systematic review. [PDF]

Front Artif Intell
Arias-González IP, Serrano-Torres GJ, Dávalos-Mayorga ER, Jiménez-Vargas NP.   +3 more
europepmc   +1 more source

Externalist XAI?

Developers of artificial intelligence (AI) often cannot explain the inferences their neural networks make, at least not in ways that satisfy user needs.
Søgaard, Anders
core   +1 more source

A generative AI multi-agent framework with integrated XAI governance for cancer diagnostics: from multi-omics interpretation to lifestyle risk stratification. [PDF]

Front Syst Biol
Barki C, Chouchen M, Sediri A, Ceylan Hİ, Rahmouni HB, Muntean RI, El-Seedi HR, Bragazzi NL, Dergaa I.   +8 more
europepmc   +1 more source

Scaling vision models does not consistently improve localisation-based explanation quality. [PDF]

Sci Rep
Cedro M, Chlebus M.
europepmc   +1 more source

GTGO-driven joint task offloading and resource allocation with explainable AI in vehicular edge computing. [PDF]

PLoS One
Moudgil A, Rani S, Khan F.
europepmc   +1 more source

Safety design guidelines for clinician-AI interaction in computer-aided diagnosis systems using system-theoretic framework with explainability validation. [PDF]

Sci Rep
Hagiwara Y, Fitch K, Trapp M.
europepmc   +1 more source