Journal of Healthcare Engineering

Artificial Intelligence in Medical Applications


Status
Published

Lead Editor

1National Chung Hsing University, Taichung, Taiwan

2Central Taiwan University of Science and Technology, Taichung, Taiwan

3Linköping University, Linköping, Sweden

4California State University, Sacramento, USA

5National Taichung University of Education, Taichung, Taiwan


Artificial Intelligence in Medical Applications

Description

Medical artificial intelligence (AI) mainly uses computer techniques to perform clinical diagnoses and suggest treatments. AI has the capability of detecting meaningful relationships in a data set and has been widely used in many clinical situations to diagnose, treat, and predict the results. The purpose of this special issue is to demonstrate the potential of several intelligent approaches exploited in medical informatics technologies and applications. Submissions for this special issue should be original work that deals in some manner with topics relevant to medical artificial intelligence, expert systems, data mining, machine learning, and image processing.

The main focus of this special issue will be on the proposal of techniques for medical artificial intelligence, expert systems, data mining, machine learning, and image processing which could be built on top of them. This special issue will become an international forum for researchers to summarize the most recent developments in the field, with a special emphasis given to the improvements and results obtained within the last several years.

Potential topics include but are not limited to the following:

  • Artificial intelligence techniques in medicine
  • Data mining and knowledge discovery in medicine
  • Medical expert systems
  • Machine learning-based medical systems
  • Medical signal and image processing techniques

Articles

  • Special Issue
  • - Volume 2018
  • - Article ID 4827875
  • - Editorial

Artificial Intelligence in Medical Applications

Yung-Kuan Chan | Yung-Fu Chen | ... | Ming-Yuan Hsieh
  • Special Issue
  • - Volume 2018
  • - Article ID 7097498
  • - Research Article

3D Shape-Weighted Level Set Method for Breast MRI 3D Tumor Segmentation

Chuin-Mu Wang | Chieh-Ling Huang | Sheng-Chih Yang
  • Special Issue
  • - Volume 2018
  • - Article ID 7692198
  • - Research Article

Strabismus Recognition Using Eye-Tracking Data and Convolutional Neural Networks

Zenghai Chen | Hong Fu | ... | Zheru Chi
  • Special Issue
  • - Volume 2018
  • - Article ID 5812059
  • - Research Article

A Novel Multiscale Gaussian-Matched Filter Using Neural Networks for the Segmentation of X-Ray Coronary Angiograms

Ivan Cruz-Aceves | Fernando Cervantes-Sanchez | Maria Susana Avila-Garcia
  • Special Issue
  • - Volume 2018
  • - Article ID 2908517
  • - Research Article

Effective Pneumothorax Detection for Chest X-Ray Images Using Local Binary Pattern and Support Vector Machine

Yuan-Hao Chan | Yong-Zhi Zeng | ... | Hung-Min Sun
  • Special Issue
  • - Volume 2018
  • - Article ID 9621640
  • - Research Article

Design of a Clinical Decision Support System for Fracture Prediction Using Imbalanced Dataset

Yung-Fu Chen | Chih-Sheng Lin | ... | Hsuan-Hung Lin
  • Special Issue
  • - Volume 2018
  • - Article ID 4651582
  • - Research Article

A Deep Belief Network and Dempster-Shafer-Based Multiclassifier for the Pathology Stage of Prostate Cancer

Jae Kwon Kim | Mun Joo Choi | ... | In Young Choi
  • Special Issue
  • - Volume 2018
  • - Article ID 4940593
  • - Research Article

Automatic Semantic Segmentation of Brain Gliomas from MRI Images Using a Deep Cascaded Neural Network

Shaoguo Cui | Lei Mao | ... | Shuyu Xiong
  • Special Issue
  • - Volume 2018
  • - Article ID 7174803
  • - Research Article

An Evolutionary Computation Approach for Optimizing Multilevel Data to Predict Patient Outcomes

Sean Barnes | Suchi Saria | Scott Levin
  • Special Issue
  • - Volume 2018
  • - Article ID 1817479
  • - Research Article

Outlier Removal in Model-Based Missing Value Imputation for Medical Datasets

Min-Wei Huang | Wei-Chao Lin | Chih-Fong Tsai
Journal of Healthcare Engineering
 Journal metrics
Acceptance rate35%
Submission to final decision99 days
Acceptance to publication47 days
CiteScore1.610
Impact Factor1.295
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