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All Journal Journal Of World Science International Journal of Multidisciplinary Sciences and Arts
Tariq, Aftab
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Computer Science & IT Economics, Econometrics & Finance Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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Role of Artificial Intelligence in Cardiovascular Health Care Khawar Hussain, Hafiz; Tariq, Aftab; Yousaf Gill, Ahmad
Journal of World Science Vol. 2 No. 4 (2023): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v2i4.284

Abstract

In the field of cardiovascular health, machine learning and artificial intelligence (AI) have become effective tools with potential applications ranging from disease detection and diagnosis to individualized treatment planning and decision making. The purpose of this study is to identify and analyze the role of AI in cardiovascular health care. The methodology of this review paper involved an extensive literature review of the existing research on the topic of AI in cardiovascular health care. Medical imaging is very important in the diagnosis and treatment of many diseases, but the interpretation of medical images is often time-consuming and subjective. Artificial intelligence (AI) algorithms, such as supervised and unsupervised learning, have been developed to assist in the analysis and interpretation of data from medical imaging. Convolutional neural networks (CNNs) and support vector machines (SVM) are the two most frequently used AI algorithms in medical image analysis. Artificial intelligence (AI) and machine learning in cardiovascular healthcare have great potential to improve patient outcomes and lower costs. However, there are still some hurdles that need to be overcome such as integration with clinical workflows, model validation and generalization, and privacy and security issues related to patient data. To overcome this, collaboration between doctors, researchers and industrial partners is needed. This technology has a bright and promising future with continuous investment in research and development.
Evaluating the Potential of Artificial Intelligence in Orthopedic Surgery for Value-based Healthcare Tariq, Aftab; Gill, Ahmad Yousaf; Hussain, Hafiz Khawar
International Journal of Multidisciplinary Sciences and Arts Vol. 2 No. 2 (2023): International Journal of Multidisciplinary Sciences and Arts, Article April 202
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v2i1.2394

Abstract

 The potential of artificial intelligence (AI) to transform value-based healthcare in the area of orthopedic surgery is examined in this research. Orthopedic surgeons and healthcare systems may improve patient outcomes, increase efficiency, and alter care delivery by combining AI algorithms, cutting-edge data analytics, and novel technology. Through case studies and success stories, the article provides a thorough study of the advantages and prospects provided by AI in orthopedic surgery. These instances demonstrate how AI has been successfully applied to several facets of orthopedic surgery, including as diagnosis, planning of the surgical course, surgical navigation, postoperative care, and resource allocation. The ethical and legal ramifications of using AI are also discussed in the study, with a focus on patient autonomy, privacy, accountability, and any potential effects on the healthcare workforce. The potential applications of AI in orthopedic surgery are examined, together with developments in preoperative planning, surgical robotics, remote monitoring, predictive analytics, personalised medicine, research, and innovation. The promise of AI in orthopedic surgery is obvious, despite issues with data quality, privacy, algorithm biases, and legal constraints. The ethical and appropriate application of AI technology in orthopedic surgery has the potential to significantly enhance patient outcomes, lower complications, boost efficiency, and change the way healthcare is provided. This study lays the groundwork for future study and application in the field of orthopedic surgery by offering insightful information on the role of AI in delivering value-based healthcare.
Co-Authors Gill, Ahmad Yousaf Hussain, Hafiz Khawar Khawar Hussain, Hafiz Yousaf Gill, Ahmad