Results 211 to 220 of about 76,023 (254)

In Situ Photopolymerization of Smectic B Liquid‐Crystalline Electrolytes from Mesogenic Phosphate–Diacrylate/Ionic Liquid Complexes for High‐Performance Soft Ionic Actuators

Advanced Robotics Research, EarlyView.
A flexible liquid‐crystalline electrolyte membrane via in situ photopolymerization of a phosphate‐functionalized mesogen, ionic liquid, and diacrylate monomer is developed. The resulting smectic B (SmB)‐phase structure enables 2D ion transport with high conductivity (10−4 S cm−1).
Chengyang Liu, Masafumi Yoshio
wiley   +1 more source

The crucial role of explainable artificial intelligence (XAI) in improving health care management. [PDF]

Health Care Manag Sci
Johannssen A, Chukhrova N.
europepmc   +1 more source

Explainable Artificial Intelligence Framework for Predicting Treatment Outcomes in Age-Related Macular Degeneration. [PDF]

Sensors (Basel)
Wang MH.
europepmc   +1 more source

An intelligent healthcare framework for hepatocellular carcinoma diagnosis based on aggregated learners from biomedical data utilising explainable artificial intelligence. [PDF]

Sci Rep
Alqaralleh BAY, Alksasbeh MZ, Kulakli A, Zreikat AI.   +3 more
europepmc   +1 more source

Explainable Artificial Intelligence in Neuroimaging of Alzheimer's Disease. [PDF]

Diagnostics (Basel)
Taiyeb Khosroshahi M, Morsali S, Gharakhanlou S, Motamedi A, Hassanbaghlou S, Vahedi H, Pedrammehr S, Kabir HMD, Jafarizadeh A.   +8 more
europepmc   +1 more source

Leveraging explainable artificial intelligence and spatial analysis for communicable diseases in Asia (2000-2022) based on health, climate, and socioeconomic factors. [PDF]

Int J Health Geogr
Rahman MS, Shiddik MAB.
europepmc   +1 more source

Temperature trend prediction with explainable artificial intelligence and PCA based machine learning: a case study of Zonguldak, Turkey. [PDF]

Sci Rep
Arslan RU, Aksoy B, Yapıcı İŞ.
europepmc   +1 more source

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Explainable Artificial Intelligence

2023
The explainability of artificial intelligence (AI) is one of the central challenges for the wider use of the new technology in many industries and applications. The more powerful and efficient the algorithms of AI work, the less it is usually comprehensible to users.
Zhixin Pan, Prabhat Mishra
  +6 more sources

Explainable artificial intelligence in ophthalmology

Current Opinion in Ophthalmology, 2023
Purpose of review Despite the growing scope of artificial intelligence (AI) and deep learning (DL) applications in the field of ophthalmology, most have yet to reach clinical adoption. Beyond model performance metrics, there has been an increasing emphasis on the need for explainability of proposed DL models.
Ting Fang, Tan, Peilun, Dai, Xiaoman, Zhang, Liyuan, Jin, Stanley, Poh, Dylan, Hong, Joshua, Lim, Gilbert, Lim, Zhen Ling, Teo, Nan, Liu, Daniel Shu Wei, Ting   +10 more
openaire   +2 more sources