Artificial Intelligence in Medical Diagnosis: Methods, Algorithms and Applications

Author(s):  
J. H. Kamdar ◽  
J. Jeba Praba ◽  
John J. Georrge
Author(s):  
K. P. V. Sai Aakarsh ◽  
Adwin Manhar

Over many centuries, tools of increasing sophistication have been developed to serve the human race Digital computers are, in many respects, just another tool. They can perform the same sort of numerical and symbolic manipulations that an ordinary person can, but faster and more reliably. This paper represents review of artificial intelligence algorithms applying in computer application and software. Include knowledge-based systems; computational intelligence, which leads to Artificial intelligence, is the science of mimicking human mental faculties in a computer. That assists Physician to make dissection in medical diagnosis.


Applying Artificial Intelligence (AI) for increasing the reliability of medical decision making has been studied for some years, and many researchers have studied in this area. In this chapter, AI is defined and the reason of its importance in medical diagnosis is explained. Various applications of AI in medical diagnosis such as signal processing and image processing are provided. Expert system is defined and it is mentioned that the basic components of an expert system are a “knowledge base” or KB and an “inference engine”. The information in the KB is obtained by interviewing people who are experts in the area in question.


Author(s):  
Peter Burke ◽  
Ron D. Appel ◽  
Matthieu Funk ◽  
Reynaldo J. Vargas ◽  
Denis F. Hochstrasser ◽  
...  

Author(s):  
Upendra Kumar ◽  
Shashank Yadav

Interest in research involving health-medical information analysis based on artificial intelligence has recently been increasing. Most of the research in this field has been focused on searching for new knowledge for predicting and diagnosing disease by revealing the relation between disease and various information features of data. However, still needed are more research and interest in applying the latest advanced artificial intelligence-based data analysis techniques to bio-signal data, which are continuous physiological records, such as EEG (electroencephalography) and ECG (electrocardiogram). This study presents a survey of ECG classification into arrhythmia types. Early and accurate detection of arrhythmia types is important in detecting heart diseases and choosing appropriate treatment for a patient.


2021 ◽  
pp. 37-54
Author(s):  
Malaya K. Sahoo ◽  
Prashant Khare ◽  
Mukesh Samant

Sign in / Sign up

Export Citation Format

Share Document