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Explainable AI for Health
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Informatics Building School of Informatics, University of Leicester, Leicester LE1 7RH, UK
Department of Signal Theory, Telematics and Communications, University of Granada, 18071 Granada, Spain
Dr. Zhengchao Dong
1. Molecular Imaging and Neuropathology Division, Columbia University and New York State Psychiatric Institute, New York, NY 10032, USA
2. New York State Psychiatric Institute, New York, NY 10032, USA
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Explainable AI for Health

Abstract submission deadline
closed (8 May 2024)
Manuscript submission deadline
8 August 2024
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Topic Information

Dear Colleagues,

Health is a state of complete physical, mental, and social well-being and not merely the absence of disease and infirmity. Artificial intelligence (AI) has recently been widely used in health and related fields. In the past, AI has shown itself as a complex tool and a solution assisting medical professionals in diagnosing various diseases. However, AIs are still black boxes that do not help decision-making. The poor explainability causes distrust from clinicians/doctors who train to make an explainable diagnosis.

Thus, there is an urgent need for novel methodologies to improve the explainability of existing AI methods used routinely in clinical practices. Explainable deep learning (DL) methods will help interpret the diagnosis for patients and physicians. This Special Issue highlights advances in explainable AI theories and models in health. Both conventional and new explainable AI-related papers are welcome.

Prof. Dr. Yudong Zhang
Prof. Dr. Juan Manuel Gorriz
Dr. Zhengchao Dong
Topic Editors

Keywords

  • oncological imaging
  • tumor detection and diagnosis
  • omics
  • supervised and unsupervised learning
  • kernel methods
  • deep neural networks
  • mathematical modeling
  • graph neural network
  • attention neural network
  • healthcare
  • disease diagnosis

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Applied Sciences
applsci 		2.5 5.3 2011 17.8 Days CHF 2400 Submit
Cancers
cancers 		4.5 8.0 2009 16.3 Days CHF 2900 Submit
Cells
cells 		5.1 9.9 2012 17.5 Days CHF 2700 Submit
Electronics
electronics 		2.6 5.3 2012 16.8 Days CHF 2400 Submit
AI
ai 		3.1 7.2 2020 17.6 Days CHF 1600 Submit

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Published Papers (3 papers)

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