Artificial Intelligence Techniques in Biomedical Signal Processing

Abstract

It is a new health care innovation, the integration of artificial intelligence (AI) to biomedical signal processing. This non-traditional, rapidly evolving field infuses AI algorithms technology and advanced signal processing techniques to disclose the hidden meaningful insights from complex biological data. AI driven biomedical signal processing is revolutionizing patient care in all medical specialties from providing diagnostic accuracy to enabling personalized treatment strategies. Today, researchers and clinicians are pursuing the potential of AI as it is applied to healthcare reaching milestones in fetal monitoring, bone health assessment, cardiovascular diagnostics, and neurological evaluations. They not only gentrify medical procedures more effective and accurate; they even lay the path to cheaper, less expensive healthcare. In this comprehensive study, we will review developments in biomedical signal processing that make use of current state of the art in AI applications, identify emerging trends, and discuss future developments that will have a huge impact on the future of modern medicine. If you can see the limits and the capabilities of these technologies in a way that allows you to confidently prepare for a future where AI is a key member of the clinical tool kit then you have a chance of preparing for a future where AI is crucial to what makes it special.