Role of Artificial Intelligence in Diagnosis and Treatment of Various Medical Diseases in Patients

JOURNAL TITLE: AMEI's Current Trends in Diagnosis & Treatment

Author
1. Rahat Kumar
2. Richa Thaman
3. Pratyush Sharma
4. Avlokita Sharma
ISSN
2582-4260
DOI
10.5005/jp-journals-10055-0131
Volume
5
Issue
2
Publishing Year
2021
Pages
7
Author Affiliations
    1. Department of Pharmacology, SGRDIMSAR, Amritsar, Punjab, India
    1. Department of CSE, CSULB, California, United States of America
    1. Department of Computer Science Engineering, Chandigarh University, Punjab, India
    1. Department of Physiology, Sri Guru Ram Das Institute of Medical Sciences & Research, Amritsar, Punjab, India
  • Article keywords
    Algorithms, Artificial intelligence, Machine intelligence, Therapeutics

    Abstract

    Artificial intelligence (AI) is defined as the capability of a machine to imitate intelligent human behavior in general. With a tremendous rise in computer capability the artificial intelligence by using various algorithms is helpful in helping medical experts for better diagnosis and treatment. Humans’ mind first plans a goal and then requires AI to achieve this goal through supervised and unsupervised learning. The various algorithms used in AI are the artificial neural network, k-nearest neighbor, support vector machine, decision trees, regression analysis classifiers, Bayesian network, random forest, discriminant analysis. AI has various benefits as in breast cancer diagnosis and staging in whole-slide images histopathology study on lung adenocarcinoma and squamous cell carcinoma patients, faster interpretation, and diagnosis in the medical fields in quick diagnosis and treatment of cardiovascular disorders, psychiatric disorders, gastroenterology, surgery, ophthalmology, etc. The more useful is the interpretation and planning of the regimens for cancer diagnosis and treatment. However, AI lacks holistic approach of management and so can never replace treatment by humane methods but AI can be a useful supplement for doctors for planning therapeutics.

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