Argument Research Essay Final Draft-Nayelhi Nevarez
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Nayelhi Nevarez
Professor. Sarah Honaman
ENC1102
May 3, 2024
The Revolution of Artificial Intelligence within the Medical Field
The combination of Artificial Intelligence and Medicine has attracted attention in the medical field, declaring revolutionary changes and advances in medical practices. As technology advances, the integration of Artificial Intelligence into healthcare processes has become increasingly possible, with potential benefits for the medical area. Additionally, with patient clinical databases and technology, Artificial Intelligence algorithms can help extract information from these sources by which each storage that is allowed to enter the systems will implement Artificial Intelligence in the medical field is more feasible and effective. Artificial Intelligence (AI) must be integrated into the medical field as it can revolutionize the improvement of diagnostic accuracy, early detection of diseases and treatment effectiveness for which Artificial Intelligence has had a positive impact on our society.
The integration of Artificial Intelligence in Medicine, it is essential to understand the general panorama in the medical field and the fundamental role that Artificial Intelligence plays
in it. In ancient times, health systems faced challenges in the area of diagnosis, lack of medications or inefficiency in the treatment of patients. As technology advances, Artificial Intelligence can help with the analysis of medical data and image scans by which it identifies patient information.
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The implementation of Artificial Intelligence in Medicine promotes improvement by offering precise diagnoses through image analysis, and personalized treatments that will be based on patient data so that diseases can be detected early. By providing valuable diagnoses through image analysis and personalization of patient treatment. Artificial Intelligence in Medicine improves medical care and detects early diseases. The author Pinto-Coelho says, ‘The
advantages of Artificial Intelligence in clinical images is the ability to improve the accuracy and
efficiency of disease diagnosis’. Through these advantages, Artificial Intelligence helps health professionals to detect early diseases and identify the clinical outcomes of patients. Algorithms powered by Artificial Intelligence help health professionals make more accurate diagnoses, so they have more potential as they analyze large amounts of medical data with the efficiency and speed that a medical diagnosis requires.
By adopting Artificial Intelligence in Medicine, its potential is to improve the accuracy of diagnosis and detection of early diseases. Algorithms that are powered by Artificial Intelligence can analyze quantities of clinical data effectively and accurately. The author Corn, tells us that Artificial Intelligence is capable of processing clinical images, such as X-rays, tomography and magnetic resonance imaging, which provides effective precision that exceeds human capabilities. This will help create information as providers can detect diseases, which will increase the chances of successful treatment for the patient. For example, if Artificial Intelligence proves favorable in the medical field, it can provide effective progress in the area of early health detection for our society.
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One of the other essential reasons for the possibility of Artificial Intelligence being integrated into the medical field is that it improves patient outcomes. By using AI-powered analysis, healthcare providers can identify patients who are at high risk of developing certain conditions or experiencing adverse events, thereby allowing for personalized intervention and treatments. According to Davenport and Kalakota says, ‘Providers and hospitals often use their clinical experience to develop a health care plan that will improve the patient's health’. The integration of Artificial Intelligence in Medicine has demonstrated its ability to improve patient outcomes by helping providers identify the risks they may see in the medical area. However, this can allow for personalized interventions and treatments whereby they can help with disease
prevention, reducing costs and improving the well-being of patients.
Medical centers often face complex administrative tasks, such as patient care and staff capacity. Improved administrative efficiency helps streamline processes, which when implemented would help the medical administrative field and staff. According to Corn's article, it says that ‘Artificial Intelligence can help facilitate administrative processes, maintaining patient records and reducing human error’. The essential advantage of Artificial Intelligence is the ability to improve accuracy, efficiency by which it can assist in administrative tasks, which will allow the medical field to focus more on responsibilities and thus reduce an administrative burden for staff and there is satisfaction for the patient.
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In the medical field, there are thousands of concerns linked to Artificial Intelligence. One of them is the opacity of Artificial Intelligence algorithms, also known as 'the black box'. In Corn's article, she says, ‘Critics argue that the ‘black box’ nature of Artificial Intelligence can lead to opaque decision-making, raising concerns about accountability and transparency in making medical decisions’. Currently, the black box of Artificial Intelligence in the medical field is essential since it exposes concerns about the responsibilities that must be carried out, such as clinical analyzes and medical decision making.
Algorithms powered by Artificial Intelligence can help analyze patient clinical data effectively and accurately. As Artificial Intelligence advances, the medical field aims to collect data on how Artificial Intelligence can make its decisions based on concerns about the opacity that exists in the medical field. For example, Artificial Intelligence can analyze all clinical information, such as medical images, X-rays, MRIs, with precision to detect early diseases and thus give a diagnosis to the patient. This helps in creating information and analysis collected from the patient by which the possibility of efficient treatment increases. In Corn's article, she says, ‘Artificial intelligence has shown improvements when implemented in the medical field, as it helps with early detection of fractures or diseases’. Artificial Intelligence has been effective in the medical area, as it can help with the detection of diseases and conditions. Also, this has the potential to save lives since there is early detection, which is effective in observing advances and improvements in the patient's analyses. As technology advances, Artificial Intelligence helps ensure that there is transparency in responsible decision-making so that there is a real diagnosis of the patient.
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Some critics say that Artificial Intelligence could cause changes in the levels of types of work demanded among doctors, as it weakens the development and management of technological systems in healthcare. Author Lovegrove says, ‘In the medical field it is worrying
that staff do not have the necessary skills to be able to work with Artificial Intelligence systems and that they are managing functions that involve tasks that can be automated using Artificial Intelligence algorithms in the medical field’. In the medical area, it is reasonable that there are concerns about the training of personnel who work and have contact with Artificial Intelligence systems since it is possible that this could affect the administrative tasks of doctors and the clinical analysis of the patient.
The implementation of Artificial Intelligence in the medical field establishes the creation of new job opportunities. Author Lovegrove in her article, ‘The Impact of Artificial Intelligence on Work and Employment in Healthcare
’, the importance of Artificial Intelligence can help create job opportunities in the medical field. According to a report from the World Health Organization (WHO)
, it is expected to reach 18.2 million by the year 2030, which is expected to create job opportunities in the areas of nursing, middle care and midwifery. For example, by automating administrative tasks carried out in the medical field, Artificial Intelligence allows health professionals to focus on other areas that are more complex such as health care, decision making in operations or analysis. and the efficiency of communication between the doctor and the patient.
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The implementation of Artificial Intelligence in Medicine represents the link between technology and medicine. As time passes, the potential that Artificial Intelligence has to improve diagnostic accuracy, improve patient outcomes and detect early diseases makes it real evidence that Artificial Intelligence algorithms have achieved a performance comparable to that
of doctors in the area of clinical images, which highlights its ability to reduce diagnostic errors. In Corn's article, she says ‘Artificial Intelligence has shown great promise in the early detection of diseases so it helps create information through providers, increasing the chances of successful treatment’. The analyzes that are driven by Artificial Intelligence have shown the revolution when it comes to identifying the patient and their diagnosis, which allows early personalized treatment, which leads to a better result. If Artificial Intelligence is implemented, this will help improve healthcare, there would be new opportunities to improve the quality of the human being and the stability of the patient. In the article by Hosny et al., they tell us that ‘The Artificial Intelligence component integrated within the clinical imaging workflow area would increase efficiency, achieve objectives by developing radiologists identified images and reducing errors’. Artificial Intelligence would be an opportunity for a better future in the medical field and the benefits that Artificial Intelligence in medicine provides for our society.
In summary, the implementation of Artificial Intelligence within the medical field offers
a large number of benefits, such as improving efficiency, the accuracy of diagnosis and the detection of early diseases. Artificial Intelligence can improve the interpretation of clinical images, quality and well-being for patients. Furthermore, Artificial Intelligence would be the revolution in medicine and potential in the development of algorithmic systems so that there is effective clinical analysis and the sustainable health well-being of the patient.
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Works Cited
Corn, Jesse. “Council Post: Balancing the Pros and Cons of AI in Healthcare.” Forbes
, www.forbes.com/sites/forbesbusinesscouncil/2023/12/01/balancing-the-pros-and-cons-
of-ai-in-healthcare/?sh=14577159752b. Accessed 3 May 2024.
Davenport, Thomas, and Ravi Kalakota. “The Potential for Artificial Intelligence in Healthcare.”
Future Healthcare Journal
, vol. 6, no. 2, June 2019, pp. 94–98.
Hosny, Ahmed, et al. “Artificial Intelligence in Radiology.” Nature Reviews Cancer
, vol. 18, no. 8, 17 May 2018, pp. 500–510, https://doi.org/10.1038/s41568-018-0016-5.
Lovegrove, Author: Gemma. “The Impact of Artificial Intelligence on Labor and Employment in
Healthcare.” AIMed
, 8 June 2023, ai-med.io/more-news/the-impact-of-artificial-
intelligence-on-labor-and-employment-in-healthcare/.
Pinto-Coelho, Luís. “How Artificial Intelligence Is Shaping Medical Imaging Technology: A Survey of Innovations and Applications.” Bioengineering
, vol. 10, no. 12, 18 Dec. 2023, p. 1435, www.ncbi.nlm.nih.gov/pmc/articles/PMC10740686/#:~:text=AI%2Dbased
%20diagnostic%20tools%20not, https://doi.org/10.3390/bioengineering10121435.