Artificial Intelligence
Introduction
Artificial Intelligence (AI) revolutionizes healthcare, particularly early disease detection.1Therefore, it is important to identify when there is a need for accurate and timely diagnosis when the global population ages and the incidence of chronic diseases increases. The problem with traditional diagnostic methods is that a lot of data is produced, and human factors that affect it include fatigue, experience, and time[AN1] . Aware of how AI performs the best at processing big input data flows and identifying subtle relations between them, this approach[AN2] will be effective in identifying early signs of diseases and enhancing patient’s quality of life.
Current scientific literature has researchers exploring its AI potential in different specialties of medicine[AN3] . There are several cases where the performance of AI algorithms has been comparable to or even superior to that of physicians in tasks such as interpretation of medical images, electrocardiograms, or disease prediction based on electronic health records[AN4] . For instance, oncology has noted enhanced potential to show early cancer detection through systems that have adopted AIartificial intelligence technologies. When discussing the work of AI in diagnosing and treating colorectal liver metastases, Rompianesi et al2 focused on integrating technology into cancer treatment planning and diagnostics.
AI[AN5] has proved useful in aspects such as the prediction of tendencies of heart attacks and other kinds of cardiovascular events. Suzuki et al3 have demonstrated that AI can assist in identifying patients with atrial fibrillation during sinus rhythm based on the electrocardiogram (ECG) study. To their surprise, tThey discovered that the current labeling method influences the ability of an AI algorithm to identify ‘silent’ atrial fibrillation, which would reduce instances of stroke and other severe complicating factors resulting from an unobserved irregular heartbeat. Such capability provides insight into how AIartificial intelligence can be effective in extending the detection times and the subsequent results in cardiovascular therapy.
[AN1]Do you have a reference for this statement? I am not sure that I understand it. Some diagnostic methods (like a biopsy) do not produce a lot of data.
[AN2]What approach?
[AN3]How does literature have researchers exploring? I would delete this sentence.
[AN4]Add references
[AN5]Spell out an abbreviation when used at the start of a sentence.
Answer preview to Artificial Intelligence
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