ARTIFICIAL INTELLIGENCE IN HEALTHCARE: ADVANTAGES AND DISADVANTAGES

Amit Vyas · Varun Dixit · Davinderjit Kaur · Dr. Haewon Byeon

Aug 2023 · Xoffencerpublication

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226

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About this ebook

Homo sapiens have always had the goal of finding a means to upgrade and improve their living situations in a manner that is in line with how they see life. This is parallel to the history of our ancestors, which covers a thousand miles, beginning with the caveman who struggled only to find food and finishing with the voyage that embarked upon the greatest blessing as the evolution of the human mind to critically analyze the environment and surrounding. The journey began with the caveman and ended with the evolution of the human mind to critically analyze the environment and surrounding. The concept of "Artificial Intelligence" (AI) has allowed mankind to leap into an environment that is entirely diversified and imaginative. This is an environment in which we can separate the typical industrial revolution from the dilemma of the information technology revolution. A computerized information technology-based system that is capable of doing many activities simultaneously in order to integrate a large number of algorithmic pieces of data and consult with either built-in or internet data bases in order to provide you with answers to your questions. When we talk about artificial intelligence, we are referring to the following: 3. At this point in time, artificial intelligence has permeated every imaginable facet of our existence, resulting in an abundance of time-saving inventions and straightforward answers to issues that were previously intractable. As a direct consequence of this, our lives have been forced into comfort zones that are apparently more pleasurable. The newly found corporate empire that is healthcare is quickly getting connected with information technology on an ever-increasing scale across all of its domains. This is not just true for the healthcare industry but certainly for other fields as well. When it comes to addressing "AI in healthcare," it appears that a situation that is very similar to the one that arises when discussing any new notion or concept. This is something that is always important for a productive dialogue and progress. However, as of right now, there is a little stronger lean toward the latter group than there is towards the former group. 1 | P a ge Equipment that interacts with hospital information and management systems will simply take in all of the data based on the clinical presentation and will provide you with beepers, flashers, and changing color codes to alert you to issues about patients in real time. Not only has the movement of data between and within departments become far quicker than it was in the past, but the machinery that interacts with these systems also gives you access to the data in real time. The next stage was to supply the treating physicians with an algorithmic method that would aid in the interpretation of the data. At the same time, the material was going to be provided to consultants and the necessary data repositories so that it could be better understood. In a word, the purpose of this cutting-edge human-machine interface was to facilitate the management of the most optimal medical judgments that could possibly be made. Not only does the system prevent the laborious entering of data, but it also has the potential to provide feedback to interventions along with a time line. This is all made possible by the system's use of barcodes. In the case that a mistake was made, this helps to reduce the number of comments that need to be made, which can be verbally conflicting and take up a lot of time.

About the author

Amit Vyas, is a highly accomplished computer science professional, having completed his master’s degree in computer science from Cleveland State University in May 2023. He holds a B. Tech degree from Manipal Institute of Technology, Karnataka, India. With a keen interest in Artificial Intelligence, Deep Learning, and Machine Learning, Amit specializes in computer vision, 3D object detection, and large Language Models. His expertise extends to Natural Language Processing (NLP), where he has explored the applications of cutting-edge technologies such as GPT-2 and BART for abstractive text summarization. During his tenure as a Research Assistant at the Intelligent Communications and Autonomous Systems Lab in Cleveland, Amit worked on a groundbreaking project involving Multi-camera 3D Object Detection for Autonomous Driving. His contributions to the field have been recognized through publications of his research and survey work in prestigious international conferences. Amit's dedication to continuous learning and growth is evident in his active participation in Data Science hackathons, where he has consistently achieved podium finishes. He has also demonstrated his leadership abilities as he led a team at IIT-Jodhpur in developing a remote health monitoring application, automating data collection from remote locations.

Varun Dixit, is a highly skilled software engineer specializing in enterprise software technologies. He holds the AWS Certified Solution Architect Professional certification along with many others, showcasing his deep knowledge of cloud architecture and solution design. Varun completed his master's degree in Software Engineering from San Jose State University. Currently serving as a Senior Member of Technical Staff at VMware Inc in Palo Alto, CA, Varun plays a pivotal role in the Workspace One Team. He has successfully led various projects related to security, scalability, and integration of software systems. Prior to his current role, Varun made significant contributions as a Software Development Engineer at Amazon Inc, where his exceptional skills and meticulous approach propelled the success of the Kindle Direct Publishing Team. He possesses a strong command of technologies such as Java, Spring, Hibernate, and AWS services, enabling him to architect and develop robust and scalable software solutions. With his expertise and dedication, Varun has earned a reputation as a highly respected authority in the software engineering industry, leaving a lasting impact on the field.

Davinderjit Kaur, is an accomplished computer scientist specializing in Multimedia and Artificial Intelligence. With a Master's degree in Computer Science from the University of Alberta, she excels in various programming languages and technologies. Currently, as a researcher at the University of Alberta, Davinderjit actively engages in the implementation of machine learning models, clinician usability studies, and the enhancement of user experience. Her diverse projects encompass multimedia-enabled virtual clinic solutions, optimization of video encoding, fatigue detection systems, and machine learning applications for store traffic analysis. In addition to her notable involvement in mental health initiatives through the EarlyDetect project, Davinderjit's expertise and passion extend to various domains, showcasing her versatile skills and innovative mindset in applying technology to real-world problems.

Dr. Haewon Byeon, received the DrSc degree in Biomedical Science from Ajou University School of Medicine. Haewon Byeon currently works at the Department of Medical Big Data, Inje University. His recent interests focus on health promotion, AI-medicine, and biostatistics. He is currently a member of international committee for a Frontiers in Psychiatry, and an editorial board for World Journal of Psychiatry. Also, He were worked on a 4 projects (Principal Investigator) from the Ministry of Education, the Korea Research Foundation, and the Ministry of Health and Welfare. Byeon has published more than 343 articles and 19 books.

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