scholarly journals The Beginning of a New Era: Artificial Intelligence in Healthcare

2020 ◽  
Vol 11 (3) ◽  
pp. 414-425
Author(s):  
Akshara Kumar ◽  
Shivaprasad Gadag ◽  
Usha Yogendra Nayak
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Drug Discovery ◽  
Science Fiction ◽  
Patient Monitoring ◽  
Basic Knowledge ◽  
Healthcare Sector ◽  
Human Beings ◽  
External Data ◽  
Applications Of Ai

The healthcare sector is considered to be one of the largest and fast-growing industries in the world. Innovations and novel approaches have always remained the prime aims in order to bring massive development. Before the emergence of technology, all the sectors, including the healthcare sector was dependant dependent on man power, which was time-consuming, and less accurate with lack of efficiency. With the recent advancements in machine learning, the condition is has been steadily revolutionizing. in the practice of the health care industry. Artificial Intelligence intelligence (AI) lies in the computer science department, which stresses on the intelligent machines’ creation, that work and react just like human beings. In simple words, AI is the capability of a computer program to think and learn, almost satisfying natural intelligence. It is the ability of a system to interpret the external data correctly, learn from it and finally use those learnings to execute some particular goals and tasks through adaptation. It utilizes multiple technologies to comprehend, act and understand from past experiences. Involving AI is not a science fiction that was once a very long time ago. It AI being an emerging technology has been adopted in various facets of healthcare ranging from drug discovery to patient monitoring. rapidly penetrated its wings developed itself into almost all the industries. Irrespective of the person’s background, whether he/she is a student, industry worker, an entrepreneur, or a scientist, having basic knowledge about the importance and applications of AI would be impactful. Currently, the applications of AI has have been expanding into those fields, which was once thought to be the only domain of human expertise such as health care sector. In this review article, we have shedthrown light on the present usage of AI in the healthcare sector, such as its working, and the way this system is being implemented in different domains, such as drug discovery, diagnosis of diseases, clinical trials, remote patient monitoring, and nanotechnology. We have also slightlybriefly touched upon its applications in touching other sectors as well. The public opinions have also been analyszed and discussed along with the future prospects.The main goals have been briefed. prospects. We have discussed the Along with the merits, we have also discussed about and the other side of AI, i.e. the disadvantages of this as wellin the last part of the manuscript.

A Study on Role of A.I. and Robotics in Health Care Sector: Its Impact and Contribution

2021 ◽  
Vol 07 (3&4) ◽  
pp. 7-14
Author(s):  
Devnath Jayaswal ◽  
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Deep Learning ◽  
Health Care Sector ◽  
Healthcare Sector ◽  
Current Scenario ◽  
Health Complications ◽  
And Robotics ◽  
Major Domain

Health Care is one of the major domain sectors of our country. As this domain has many different aspect of implementation, as per the current scenario of Diseases and health complications. This paper will discuss about how, the Artificial Intelligence (A.I.) and robotics can be beneficial and plays a major role on, health care domain with respect to the Efficiently Diagnose, Developing New Medicines, Earlier Detection of Diseases, Advance Treatment Care, A.I-Deep learning For the Critical Decision’s. As this Information will help to give more clarity on what, A.I. & Robotics contributes for the major Diseases Treatment by the advancement of Technology. This can be beneficial for not only Doctors, Patients, or Firm but can also be helpful for citizen people as well. The objective of this paper is to study the role of AI and Robotics in Healthcare Sector and its impact.

Erschöpftes Bewusstsein

2020 ◽  
Author(s):  
Johannes Otte
Keyword(s):  
Artificial Intelligence ◽  
Science Fiction ◽  
Power Relations ◽  
Behavior Patterns ◽  
Human Being ◽  
Human Beings ◽  
Normative Behavior ◽  
The Face ◽  
Human Integrity

Almost 200 years have passed since the publication of E.T.A. Hoffmann's Der Sandmann and Alex Garland's science fiction film Ex Machina. And yet both ask amazingly similar questions about human integrity in the face of artificial intelligence. The humanoid machines act as objects of reflection, from which it can be seen that the essence of human beings is always only contoured in an omnipresent network of power relations and by imitating normative behavior patterns. These power relations and performative acts are discussed in more detail in this work, among other things, by referring back to the concepts of panoptism and performativity. Posthuman subjects are thus negotiated as both a danger and an enlightenment for the human being.

scholarly journals Accelerating AI Adoption with Responsible AI Signals and Employee Engagement Mechanisms in Health Care

2021 ◽  
Author(s):  
Weisha Wang ◽  
Long Chen ◽  
Mengran Xiong ◽  
Yichuan Wang
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Employee Engagement ◽  
Mediating Effect ◽  
Healthcare Sector ◽  
Ethical Implications ◽  
Underlying Mechanisms ◽  
The Relationship

AbstractArtificial Intelligence (AI) technology is transforming the healthcare sector. However, despite this, the associated ethical implications remain open to debate. This research investigates how signals of AI responsibility impact healthcare practitioners’ attitudes toward AI, satisfaction with AI, AI usage intentions, including the underlying mechanisms. Our research outlines autonomy, beneficence, explainability, justice, and non-maleficence as the five key signals of AI responsibility for healthcare practitioners. The findings reveal that these five signals significantly increase healthcare practitioners’ engagement, which subsequently leads to more favourable attitudes, greater satisfaction, and higher usage intentions with AI technology. Moreover, ‘techno-overload’ as a primary ‘techno-stressor’ moderates the mediating effect of engagement on the relationship between AI justice and behavioural and attitudinal outcomes. When healthcare practitioners perceive AI technology as adding extra workload, such techno-overload will undermine the importance of the justice signal and subsequently affect their attitudes, satisfaction, and usage intentions with AI technology.

scholarly journals Applications of Artificial Intelligence (AI) in healthcare: A review

2021 ◽  
Author(s):  
Mohammed Yousef Shaheen
Keyword(s):  
Artificial Intelligence ◽  
Clinical Trials ◽  
Drug Discovery ◽  
Target Identification ◽  
Health Sector ◽  
Monitoring Methods ◽  
Pharmaceutical Firms ◽  
Genetic Codes ◽  
Applications Of Ai

Artificial intelligence is revolutionizing — and strengthening — modern healthcare through technologies that can predict, grasp, learn, and act, whether it's employed to identify new relationships between genetic codes or to control surgery-assisting robots. It can detect minor patterns that humans would completely overlook. This study explores and discusses the various modern applications of AI in the health sector. Particularly, the study focuses on three most emerging areas of AI-powered healthcare: AI-led drug discovery, clinical trials, and patient care. The findings suggest that pharmaceutical firms have benefited from AI in healthcare by speeding up their drug discovery process and automating target identification. Artificial Intelligence (AI) can help also to eliminate time-consuming data monitoring methods. The findings also indicate that AI-assisted clinical trials are capable of handling massive volumes of data and producing highly accurate results. Medical AI companies develop systems that assist patients at every level. Patients' medical data is also analyzed by clinical intelligence, which provides insights to assist them improve their quality of life.

scholarly journals Artificial Intelligence for Healthcare in India

2021 ◽  
Vol 16 (4) ◽  
pp. 1-11
Author(s):  
Sheshadri Chatterjee ◽  
Michael S. Dohan
Keyword(s):  
Artificial Intelligence ◽  
Healthcare System ◽  
Qualitative Approach ◽  
Healthcare Sector ◽  
Healthcare Industry ◽  
Policy Makers ◽  
Proper Actions ◽  
Policy Initiatives ◽  
The Government ◽  
Applications Of Ai

The purpose of the paper is to provide an overview of the issues related to Artificial Intelligence (AI) applications in the Indian healthcare sector and provide input to policy makers. A qualitative approach has been used in this study to identify government initiatives, opportunities and challenges for applications of AI. , and suggests improvements in policy areas relevant to AI in healthcare. The study helps by providing comprehensive inputs for framing policy on AI in healthcare industry in India. The study also highlights that that if the proper actions are taken to overcome the various challenges associated with applications of AI in healthcare sector in India by the government, then the healthcare sector will immensely benefit. This article has taken an attempt to provide inputs concerning to policy initiatives, challenges and recommendations for improving healthcare system of India using different applications of AI.

scholarly journals Dirbtinis intelektas moterišku kūnu filmuose Ex Machina ir Ji

2021 ◽  
Vol 16 ◽  
pp. 69-90
Author(s):  
Justina Žiūraitė-Pupelė
Keyword(s):  
Artificial Intelligence ◽  
Science Fiction ◽  
Cognitive Abilities ◽  
Female Body ◽  
Human Life ◽  
Modern Science ◽  
Mental States ◽  
Human Beings ◽  
Contemporary Science ◽  
Science Fiction Films

The article explores how artificial intelligence is constructed in a female body and showcases the boundaries between human and technological traits, as well as the relationship between human beings and technology. The article defines the notion of artificial intelligence and discusses how artificial intelligence is portrayed in science fiction films. The article does not attempt to provide new theoretical insights into artificial intelligence but, instead, to show how artificial intelligence is characterised in the context of modern science fiction films. Two contemporary science fiction films, which focus on the artificial intelligence in the female body, are analysed: Alex Garland’s Ex Machina (2014) and Spike Jonze’s Her (2013). The analysis of the films showcases the blurred lines between being a human and being a robot: AI in the female body is portrayed as having adequate cognitive abilities and an ability to experience or to realistically imitate various mental states. The AI embodiment found in the films explores different narratives: the anthropomorphic body (Ex Machina) motivates to get to know the world and thus expands one’s experience, while the partial embodiment (Her) “programs” intellectual actions and development beyond the human body. Ex Machina highlights the anti-humanity of the female robot: another (human) life is devalued in order to pursue a goal. On the contrary, Her highlights the hyper-humanity of the operating system: continuous improvements exceed the boundaries of communication with other people.

scholarly journals Integrated Prediction System for Chronic Disease Diagnosis to Ensure Better Healthcare

2020 ◽  
pp. 25-39
Author(s):  
Geetha Poornima K. ◽  
Krishna Prasad K.
Keyword(s):  
Health Care ◽  
Chronic Disease ◽  
Chronic Diseases ◽  
Predictive Analytics ◽  
Disease Diagnosis ◽  
Exercise Stress ◽  
Healthcare Sector ◽  
Human Beings ◽  
Healthcare Data ◽  
Using Data

Technology innovation has made life easy for human beings. Technology is being used everywhere. This also extends to the healthcare sector. The healthcare sector produces a large amount of data each minute. Because of privacy issues, much of the data generated is not used and is not publicly accessible. Healthcare data comes from diverse sources hence it will be always varied in nature. Keeping track of such data has become much easier these days. Predictive analysis in healthcare is an emerging technology that identifies the person with poor health where the risks of developing chronic conditions are more likely and provide better solutions in the field of healthcare. Statistical methods and algorithms can be used to predict the disease before the actual symptoms are revealed in humans. By using data analytics algorithms one can easily predict chronic diseases such as obesity, high/low Blood Pressure, diabetes, asthma, cardiopulmonary disorders. Because of an unhealthy diet, lack of proper exercise, stress, consumption of tobacco, alcohol, etc. chronic diseases are most common these days. If the symptoms of chronic diseases are detected in the early stages, there will be less risk of hospitalization by cost-effectively maintaining better health. Big data analysis and health care can be mixed to produce accurate results. The application of predictive analytics in healthcare is highlighted in this paper. It provides a broader analysis in the prevention of different chronic diseases by using predictive analytics. The paper also includes various issues that arise when handling health care data. For each chronic disease, diverse models, techniques, and algorithms are used for predicting and analyzing. The paper comprises a conceptual model that integrates the prediction of most common chronic diseases

scholarly journals Artificial Intelligence (Online Resource): A panacea for SMEs in healthcare

2021 ◽  
Vol 16 (4) ◽  
pp. 230-235
Author(s):  
ANUJ KUMAR ◽  
Asif Ali Syed ◽  
Anoop Pandey
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Medical Device ◽  
Circular Economy ◽  
Emerging Technology ◽  
Healthcare Sector ◽  
Research Papers ◽  
Private Hospitals ◽  
Indian Medical ◽  
Online Resource

This paper presents a review of the most recent and popular research papers on the use of artificial intelligence in the healthcare sector. SMEs consist of 60-65% of Indian medical device market. Many doctors are operating through private hospitals which come under the category of SMEs segment. Technology is proving to be a boon for all the sectors, artificial intelligence an emerging technology has the potential to change the fortune of SMEs in health care sector. In this paper, there will be discussion on how artificial intelligence can help the healthcare sector in different ways. SMEs working in healthcare can take a learning from this paper and can utilize it for betterment. (*The paper was presented at the AICTE International Conference on Circular Economy, Management and Industry, Bharati Vidyapeeth’s Institute of Management Studies and Research, Navi Mumbai and Apeejay School of Management, Dwarka, Delhi, India. October 2021)

Artificial Intelligence: Creating Post-Human Beings

ITNOW ◽  
2020 ◽  
Vol 62 (2) ◽  
pp. 62-63
Author(s):  
Blair Melsom
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Science Fiction ◽  
Learning Technologies ◽  
Human Beings ◽  
Award Winning

Abstract What does it mean to be human? That’s the existential question award-winning artist Cecilie Waagner Falkenstrøm has lately been using machine learning technologies to explore. Here, she talks to Blair Melsom AMBCS about how art, science fiction and algorithms converge to provoke thoughts on the ethics of future humanised technology.

Artificial Intelligence and Learning

Education ◽  
2021 ◽  
Author(s):  
Jaekyung Lee ◽  
Richard Lamb ◽  
Sunha Kim
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Big Data ◽  
Cognitive Abilities ◽  
Human Beings ◽  
Technological Advances ◽  
Future Society ◽  
Self Driving Cars ◽  
Selection Of ◽  
Applications Of Ai

Rapid technological advances, particularly recent artificial intelligence (AI) revolutions such as digital assistants (e.g., Alexa, Siri), self-driving cars, and cobots and robots, have changed human lives and will continue to have even bigger impact on our future society. Some of those AI inventions already shocked people across the world by wielding their power of surpassing human intelligence and cognitive abilities; see, for example, the examples of Watson (IBM’s supercomputer) and AlphaGo (Google DeepMind’s AI program) beating the human champions of Jeopardy and Go games, respectively. Then many questions arise. How does AI affect human beings and the larger society? How should we educate our children in the AI age? What changes are necessary to help humans better adapt and flourish in the AI age? What are the key enablers of the AI revolution, such as big data and machine learning? What are the applications of AI in education and how do they work? Answering these critical questions requires interdisciplinary research. There is no shortage of research on AI per se, since it is a highly important and impactful research topic that cuts across many fields of science and technology. Nevertheless, there are no effective guidelines for educational researchers and practitioners that give quick summaries and references on this topic. Because the intersection of AI and education/learning is an emerging field of research, the literature is in flux and the jury is still out. Thus, our goal here is to give readers a quick introduction to this broad topic by drawing upon a limited selection of books, reports, and articles. This entry is organized into three major sections, where we present commentaries along with a list of annotated references on each of the following areas: (1) AI Impacts on the Society and Education; (2) AI Enablers: Big Data in Education and Machine Learning; and (3) Applications of AI in Education: Examples and Evidence.

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