Artificial intelligence (AI) has the potential to surpass the challenges in diagnosing infectious diseases
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Abstract
Infectious diseases present a global risk, and diagnostic tools are crucial for identifying infections. Accessing traditional methods, especially in remote hospitals, is difficult. Point-of-care testing (POCT) is efficient, although their interpretation is prone to inaccuracies and prejudice. The aim of this review article is to demonstrate the significance and use of Artificial Intelligence (AI) in aiding the diagnosis of infectious illnesses.
AI has the potential to enhance disease surveillance, although it is currently constrained by constraints. Machine learning (ML) can address these challenges. AI and ML might become the main emphasis in medical diagnosis, treatment, and assessment. Challenges such as restricted data availability, the requirement for supplementary models, and a lack of understanding among AI professionals impede the use of AI technologies in healthcare.
In conclusion, AI has the ability to help diagnose infectious diseases using machine learning approaches, offering accuracy, effectiveness, and data accessibility, with opportunities for additional progress.
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
บทความที่พิมพ์ในวารสารสถาบันป้องกันควบคุมโรคเขตเมือง ถือว่าเป็นผลงานวิชาการ งานวิจัยและวิเคราะห์ ตลอดจนเป็นความเห็นส่วนตัวของผู้เขียนเอง ไม่ใช่ความเห็นของสถาบันป้องกันควบคุมโรคเขตเมือง หรือคณะบรรณาธิการแต่ประการใด ผู้เขียนจำต้องรับผิดชอบต่อบทความของตน
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