Keywords: Artificial Intelligence, Diagnostic Imaging,Improve diagnostic
Introduction:
Artificial Intelligence (AI) has emerged as a powerful force in various sectors and healthcare is no exception. In diagnostic medicine, AI technologies are increasingly being integrated into clinical practice, fundamentally changing the way healthcare professionals approach patient assessment and diagnosis. The importance of accurate and timely diagnoses cannot be overstated, as they form the backbone of effective treatment plans.
Method:
This paper is categorized in the group of literature reviews. The methods used in this paper are: descriptive method and comparative method. Existing literature related to the use of artificial intelligence in diagnostic medicine was obtained through a literature search in the database PubMed, Google Scholar, Medline Nature Medicine, The Lancet, Journal of Medical Internet Research through the search words in the English language Artificial Intelligence ,Machine Learning,Diagnostic Imaging.The literature that is available and that has been selected for this paper is based on different countries.
Results:
The results have shown that AI has significant potential in improving diagnostic medicine through increasing the degree of accuracy, efficiency and personalized patient care. However, to fully realize its potential, stakeholders must address existing challenges and foster an enabling environment for innovation and the ethical practice of using artificial intelligence in diagnostics. Continued research and collaboration across disciplines will be vital in shaping the future of AI in healthcare.
Conclusions:
The use of AI in diagnostic medicine holds great promise for revolutionizing health care delivery. Increasing diagnostic capabilities, increasing efficiency and by improving access to care, AI has the potential to significantly raise the standard of care to the patient. However, careful consideration of the ethical implications and proactive measures for . The future of diagnostic medicine is poised for breakthroughs essential through the continuous integration of AI, ultimately leading to better results health benefits for patients worldwide.
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