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Deep Learning Technology Application in Healthcare Essay

Deep Learning Technology Application in Healthcare Essay

The paper should include the following : 1- One technology application used in health care to facilitate decision making. 2- The application\’s impact on quality of decision making. 3- The process for selecting and implementing the application. 4- The costs associated with the application. 5- Nurse\’s roles in selecting and evaluating the application. Also, the paper should be 4 pages length, excluding the title, abstract, and references pages. Incorporate a minimum of 5 current scholarly journal articles or primary legal sources. ( statutes, court opinions.) Thanks. Deep Learning Technology Application in Healthcare Essay

Deep Learning Technology

Deep learning is one of the recently applied technologies in healthcare, especially in the decision-making process. Deep learning technology refers to the application of artificial neural networks algorithms in machine teaching (Liu et al., 2019). The operation of deep learning requires data, and thus the prevailing data influences the end result. The application of deep learning enables machines to solve complex problems that may challenge individuals when using diverse, interconnected, and unstructured data. Thus, deep learning is a new technology that features the concept of artificial intelligence in its operation. Deep Learning Technology Application in Healthcare Essay

Deep learning technology is has been applied in healthcare decision-making processes. The deep learning technology is applied in various levels of decision-making processes such as the clinical ones.  Clinical decision-making in healthcare applies and uses deep learning technology in various ways. A major way the clinical decision-making process applies deep learning technology in effective patients’ diagnoses. For instance, deep learning enables oncologists to diagnoses the specific type of cancer a patient is suffering from at their earlier early and with very limited misdiagnosis, unlike previous mechanisms such as the use of magnetic resonance imaging (Liu et al., 2019). Such enables effective clinical decision making and provides outstanding patients’ outcomes.  It is worth noting that, clinical decision-making process entails proper diagnosis based on the patients’ presenting symptoms and history. Deep Learning Technology Application in Healthcare Essay

On top of clinical diagnosis, deep learning technology has been applied in the preventive and treatment healthcare decision-making process. A solid example of the application of deep learning in preventive healthcare decision making is with both the Human Immunodeficiency Virus and Diabetic Retinopathy. The latter is an intense form of blindness arising from diabetes-related complications and has more than 415 million recorded patients in developing countries. However, the application of deep learning through a convolution neural network model has been able to prevent individuals from diabetic retinopathy by detecting its indicators, early symptoms, and hemorrhages. These are detected by the deep learning technology by using data collected from retinal imaging. More so, the deep learning technology uses blood glucose levels patients’ data to predict the likelihood of the patient developing diabetic retinopathy. Extreme blood glucose levels change a major cause of diabetic retinopathy among diabetic patients. Therefore, the use of blood glucose level data and that from retinal imaging in deep learning illustrates its application in the healthcare preventive and treatment decision making. Deep Learning Technology Application in Healthcare Essay

Impact of Deep Learning Application in Healthcare Decision Making

Deep learning technology’s application has several positive impacts on the healthcare decision-making process.  First, deep learning technology’s application eases and increases the accuracy of healthcare decision making processes. Deep learning will involve the use of the machine, which solves complex problems using diverse, interconnected, and unstructured data (Shahid et al., 2019). Such kind of data challenges the healthcare providers at solving any presenting problems, and will possibly either makes an error or take a long time. The prevalence of errors compromises the quality of clinical decisions, thus making the associated manual decision-making process substandard, unlike one that applies deep learning technology. Deep Learning Technology Application in Healthcare Essay

Healthcare decision-making processes involving deep learning technology are fast with minimal errors, even where there are diverse and unstructured data, which increases the accuracy of the entire process and resultant decisions.  More so, deep learning technology’s application reduces misdiagnosis instances. For instance, a recent relative study reveals that the use of deep learning technology, decreasing breast cancer misdiagnosis by 85 %( Kontzer, 2018). Thus, the use of deep learning technology eases, reduces errors, and increases the accuracy of healthcare decision-making processes. Deep Learning Technology Application in Healthcare Essay

More so, deep learning technology application increases the effectiveness of healthcare decision making processes and relative decisions. The application of deep learning technology will enable physicians and clinicians diagnoses and distinguish specific cancer a patient is suffering from and at an early age, unlike the previous mechanisms. For instance, the application of LYmph Node Assistant, a Google-associated deep learning algorithm, has a 99% success rate in the cancerous therapy decision compared to human doctors with 38% or previous mechanisms (Liu et al., 2019). The application LYmph Node Assistant detects 99% of the metastasized breast cancer cases using the pathology images, both accurately and fast- concepts symbolizing its effectiveness. Most of the previous cancer mechanisms, such as magnetic resonance imaging and computed tomography, are unable to detect a large number of cancers at their early stage. Therefore, the application of deep learning technology in healthcare decision-making processes is beneficial for it results in an outstanding decision such as the cancerous therapy ones. Deep Learning Technology Application in Healthcare Essay