The Role of Artificial Intelligence ROUGH DRAFT

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American Public University *

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311

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Health Science

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Jun 11, 2024

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docx

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1 The Role of Artificial Intelligence in Transforming Healthcare Lauren Reisinger American Public University WEBD311 Internet Concepts Christine Harold 05 NOV 23

2 The Role of Artificial Intelligence in Transforming Healthcare Introduction Background information Artificial Intelligence (AI) is a field of computer science working towards the creation of scalable algorithms and software simulating some aspects of human cognition in the form of awareness, learning, problem-solving, or making decisions. The rapidly evolving field has found numerous applications in healthcare. The process involves the use of algorithms and software simulation. In healthcare setup, AI is revolutionizing the process of diagnosis, treatment, and management of diseases. Significance and Relevance Integration of AI in healthcare has many advantages, which include better skills in diagnosing, coming up with personalized treatment procedures, efficient monitoring of patients, and may be associated with cheaper costs incidences in the healthcare system (Noorbakhsh-Sabet et al., 2021). AI has the potential to transform healthcare because it can analyze large amounts of data, hence giving appropriate views that aid medical practitioners in decision-making. These applications have the potential to revolutionize the healthcare landscape, fostering proactive and preventive care while minimizing medical errors. Purpose The research purports to look into the multifaceted role of AI in medicine, particularly its applications in medical diagnosis and treatment, patient monitoring and management, as well as the ethical and legal considerations attendant on its use (Chen & Decary, 2020). Highlighted areas of discussion will cover the application of AI in diagnostic imaging, AI-supported

3 diagnosis, predictive analytics, remote patient monitoring, ethics concerning data privacy, algorithmic bias, and challenges related to regulation. The Role of AI in Medical Diagnosis and Treatment Artificial intelligence (AI) has emerged as a transformational force in the healthcare sector of medical diagnostics and treatment. By enabling data analysis identification of patterns, together with sophisticated calculations at the scale of big data, AI applications have revolutionized the accuracy and speed, in addition to the customization of health services. AI Applications in Diagnostic Imaging and Radiology Artificial intelligence has made significant improvement in the field of diagnostic imaging and radiology. In turn, this has made AI-powered tools like deep learning algorithms capable of highly sophisticated medical image analysis, for instance, X-rays, MRIs, and CT scans. It can aid in the detection of more patterns, anomalies, and potential abnormalities than ought to be noticeable even by human analysis only (Lin et al., 2021). They help in the early detection of diseases such as cancer by identifying faint signs that might be too subtle for even human radiologists to note. The application of AI in radiology dramatically improves the accuracy and speed of diagnosis, thereby improving patient experience and minimizing instances of mistakes caused by a human. This has resulted in a number of startups and a few established companies working towards the improvement of these systems to provide better results that are accountable and accurate. AI-Assisted Diagnosis and Decision Support Systems AI has been pivotal in the development of diagnostic tools and decision support systems that aid healthcare professionals in making more accurate and timely diagnoses. Such systems take into consideration patient data, symptoms, and medical history, among other relevant inputs,

4 thereby generating insights and possible diagnoses. In so doing, a doctor can be aided to take into consideration a spectrum of possibilities and get recommendation options for the treatment of an identified problem or issue (Poalelungi et al., 2023). Additionally, these systems continue to learn and adapt more to new experiences and data, adjusting the accuracy of diagnosis. With time, AI-driven systems become more knowledgeable owing to the increasing ability to learn more from both fresh data and the experience base. Doctors or clinicians prefer such systems in delivering personalized treatment plans, which are also most effective for the patients at hand. AI-Driven Personalized Treatment and Precision Medicine AI's ability to process vast amounts of data and identify patterns allows for personalized treatment plans. Artificial intelligence and machine learning algorithms are helping the healthcare industry to provide a personalized way of treating based on specific genetic uniqueness, lifestyle, and health indicators using artificial technology with an individual. Precision medicine, which strives for personalized health care on account of the unique traits of a person, has been dramatically advanced by AI (Lin et al., 2021). This not only helps in prescribing adequate drug required to treat a disorder but also let predict potential adverse reaction or interaction with other medicine due to their biological markers. This shift in a healthcare setting the bars of personalized and more effective treatment practices, resulting in improved patient outcomes. AI for Patient Monitoring and Management AI has significantly impacted patient monitoring and management within the healthcare landscape. It plays a pivotal role in revolutionizing traditional practices by offering innovative solutions that enhance patient care, disease management, and preventive strategies. The

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