Artificial Intelligence in Healthcare: Diagnosis, Treatment, and Prediction

Artificial Intelligence in Healthcare: Diagnosis, Treatment, and Prediction

One of the most potential uses of artificial intelligence (AI), which has changed a number of industries, is in healthcare. The application of AI in healthcare is discussed in general in this study, with an emphasis on diagnosis, treatment, and prediction. In the area of diagnostics, AI has proven t...

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Bibliographic Details
Published in:E3S Web of Conferences Vol. 399; p. 4043
Main Authors: Devi, Kharibam Jilenkumari, Alghamdi, Wajdi, N, Divya, Alkhayyat, Ahmed, Sayyora, Artikbaeva, Sathish, T.
Format: Journal Article Conference Proceeding
Language:English
Published: Les Ulis EDP Sciences 01-01-2023
Subjects:
Algorithms
Anomalies
Artificial intelligence
Computed tomography
Data analysis
Deep learning
Diagnosis
Health care
Health services
Learning algorithms
Machine learning
Medical personnel
Patients
Predictions
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Summary:One of the most potential uses of artificial intelligence (AI), which has changed a number of industries, is in healthcare. The application of AI in healthcare is discussed in general in this study, with an emphasis on diagnosis, treatment, and prediction. In the area of diagnostics, AI has proven to be remarkably adept at deciphering X-rays, CT scans, and MRI pictures to spot illnesses and anomalies. A branch of AI known as deep learning algorithms has shown to be particularly good at accurately identifying and categorizing medical disorders. Large volumes of imaging data may be swiftly analyzed by AI systems, enabling medical personnel to diagnose patients more accurately and with fewer mistakes. Additionally, AI may combine patient information, genetic data, and other pertinent data to produce tailored diagnostic suggestions. Consequently, AI has become a game-changing force in healthcare, especially in the disciplines of diagnosis, treatment, and prediction. AI systems can help medical personnel make more precise diagnoses, create individualized treatment plans, and forecast patient outcomes by utilizing machine learning algorithms and advanced data analytics. While there are still difficulties, there are enormous potential advantages for AI in healthcare, and coordinated efforts are required to realize these advantages and assure its ethical and fair incorporation into healthcare systems.
ISSN:2267-1242
2555-0403
2267-1242
DOI:10.1051/e3sconf/202339904043