Artificial intelligence has the potential to enhance clinical decision making, but complex black box models can be difficult to interpret and trust. Explainable artificial intelligence methods aim to open the black box by highlighting which features are driving the model's prediction.
Sophie A. Martin +7 more
wiley +1 more source
Utilization of Explainable Artificial Intelligence (XAI)-Powered Computer-Aided Detection (CAD) System on Chest X-Ray Abnormalities in Health Check-Ups. [PDF]
Nishii S +5 more
europepmc +1 more source
ABSTRACT The treatment of migraine is hampered by inter‐individual variability, leading to an inefficient “trial and error” approach. Artificial intelligence (AI) and machine learning (ML) offer a path towards precision medicine by predicting therapeutic outcomes.
Martina Giacon, Salvatore Terrazzino
wiley +1 more source
Demystifying the black box: A survey on explainable artificial intelligence (XAI) in bioinformatics. [PDF]
Budhkar A, Song Q, Su J, Zhang X.
europepmc +1 more source
Expansion of Exotic Mangroves Sonneratia apetala in China Since Start of the SDGs
Abstract Since the Sustainable Development Goals (SDGs) came into effect in 2016, mangroves have received unprecedented attention for carbon sequestration capacity. In China, previous studies focused on the total area of mangroves using remote sensing technique, neglecting expansion of the exotic mangrove species Sonneratia apetala, even when it is ...
Yubin Li +5 more
wiley +1 more source
Histological Image Classification Between Follicular Lymphoma and Reactive Lymphoid Tissue Using Deep Learning and Explainable Artificial Intelligence (XAI). [PDF]
Carreras J +9 more
europepmc +1 more source
When Good Fit Goes Bad: Identifying and Minimising Overfitting in Ecological Niche Models
ABSTRACT Aim To synthesise current understanding of overfitting as a pervasive and often underdiagnosed problem in correlative ecological niche models (ENMs), and to assess its consequences for model interpretation, generalisation and transferability under contemporary data and methodological practices. Location Worldwide.
Diana Sousa‐Guedes +4 more
wiley +1 more source
Can surgeons trust AI? Perspectives on machine learning in surgery and the importance of eXplainable Artificial Intelligence (XAI). [PDF]
Brandenburg JM +3 more
europepmc +1 more source
Multi‐Scale Decomposition for Skillful All‐Season MJO Prediction With Deep Learning
Abstract The Madden‐Julian Oscillation (MJO) is a key intraseasonal atmospheric pattern in the tropics, significantly influencing global weather and extreme events. Accurate subseasonal forecasts depend on reliable MJO prediction, and recent artificial intelligence (AI)‐based models have shown great promise for enhanced prediction of MJO index. However,
Miae Kim +5 more
wiley +1 more source
An Intrusion Detection System over the IoT Data Streams Using eXplainable Artificial Intelligence (XAI). [PDF]
Alabbadi A, Bajaber F.
europepmc +1 more source

