Applications of Artificial Intelligence in Microbial Diagnosis

被引：10

作者：

Shelke, Yogendra P. ^{[1
]}

Badge, Ankit K. ^{[2
]}

Bankar, Nandkishor J. ^{[3
]}

机构：

[1] Bhaktshreshtha Kamalakarpant Laxmanrao Walawalkar, Microbiol, Ratnagiri, India

[2] Datta Meghe Inst Higher Educ & Res Deemed Univ, Datta Meghe Med Coll, Microbiol, Wardha, India

[3] Datta Meghe Inst Higher Educ & Res Deemed Univ, Jawaharlal Nehru Med Coll, Microbiol, Wardha, India

来源：

CUREUS JOURNAL OF MEDICAL SCIENCE | 2023年 / 15卷 / 11期

关键词：

pathogen identification; epidemiological monitoring; antibiotic resistance prediction; artificial intelligence in healthcare; microbial diagnosis; TUBERCULOSIS; CHALLENGES;

D O I：

10.7759/cureus.49366

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

The diagnosis is an important factor in healthcare care, and it is essential to identify microorganisms that cause infections and diseases. The application of artificial intelligence (AI) systems can improve disease management, drug development, antibiotic resistance prediction, and epidemiological monitoring in the field of microbial diagnosis. AI systems can quickly and accurately detect infections, including new and drug-resistant strains, and enable early detection of antibiotic resistance and improved diagnostic techniques. The application of AI in bacterial diagnosis focuses on the speed, precision, and identification of pathogens and the ability to predict antibiotic resistance.

引用

页数：8

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