Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
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This Author published in this journals
All Journal International Journal of Multidisciplinary Sciences and Arts Journal Research of Social Science, Economics, and Management
Ahmad Yousaf Gill
American National University, USA
Computer Science & IT Economics, Econometrics & Finance Environmental Science Languange, Linguistic, Communication & Media

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Healthcare Revolution: How AI and Machine Learning Are Changing Medicine Ayesha Saeed; Ali Husnain; Saad Rasool; Ahmad Yousaf Gill; Amelia Amelia
Journal Research of Social Science, Economics, and Management Vol. 3 No. 3 (2023): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v3i3.558

Abstract

This essay examines the enormous effects of machine learning and artificial intelligence (AI) on healthcare. Through data analysis, AI is transforming disease detection and prediction and improving the precision of diagnoses. By accelerating medication discovery and improving individualized treatment programs, it is revolutionizing both treatment and drug development. AI is promoting customized medicine by using genetic information to customize therapies. Through automation and optimized resource allocation, it is streamlining hospital processes. The importance of ethical considerations is significant; they center on data privacy, bias reduction, and accountability. The study highlights potential avenues for AI development, such as AI-driven drug discovery, predictive and preventative healthcare, advances in genomic medicine, enhanced medical imaging, and more robotics and automation. Predictive analytics, telehealth, AI virtual assistants, and AI in mental healthcare are all expected to grow. These developments have the potential to improve health care, streamline processes, and boost scientific inquiry. To use AI in healthcare in a fair and ethical manner, however, and usher in a future that is more patient-centric, accurate, and accessible internationally, difficulties related to data quality, ethics, regulation, and prejudice must be addressed.
3D Printing Techniques: Transforming Manufacturing with Precision and Sustainability Shahrukh Khan Lodhi; Ahmad Yousaf Gill; Ibrar Hussain
International Journal of Multidisciplinary Sciences and Arts Vol. 3 No. 3 (2024): International Journal of Multidisciplinary Sciences and Arts, Article July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v3i3.4568

Abstract

Additive manufacturing, sometimes known as 3D printing, has advanced quickly and has the potential to revolutionize a number of industries. This analysis examines the noteworthy developments and upcoming trends in 3D printing, emphasizing the effects on accuracy, eco-friendliness, and industrial uses. The first section of the book explores how advances in materials have affected 3D printing, with a focus on the creation of thermoplastics, photopolymers, metal powders, ceramics, and bio-printable materials. These developments have increased 3D printing's potential and made it possible to produce components that are biocompatible, customizable, and high-performing. The topic of sustainability is then brought up, with particular emphasis on how 3D printing helps to cut down on energy and material waste. The key components of the technology's environmental benefits are its on-demand part production capability and its utilization of environmentally benign resources like recycled and biodegradable polymers. The essay also discusses the difficulties associated with material disposal and energy use in the perspective of sustainability. Examining industrial applications, the paper emphasizes how 3D printing is revolutionizing industries like consumer products, construction, healthcare, automotive, and aerospace. The technology's versatility and effect across multiple fields are demonstrated by highlighting its role in enabling rapid prototyping, customized production, and novel design solutions. The assessment highlights major developments in 3D printing for the future, such as advances in materials science, technological advancements, and integration with other cutting-edge fields like artificial intelligence, the Internet of things, and robotics. Highlighted are the possibilities for increased customization, on-demand production, and sustainability, demonstrating how these advancements will continue to influence the market? The assessment highlights the significant effects that 3D printing will have on manufacturing and design, emphasizing how technology may spur innovation, lessen its negative effects on the environment, and adapt to changing needs in a variety of industries. Technology will play an ever-more-important role in improving sustainability and revolutionizing sectors as it develops.
AI-Powered Innovations in Contemporary Manufacturing Procedures: An Extensive Analysis Shahrukh Khan Lodhi; Ahmad Yousaf Gill; Ibrar Hussain
International Journal of Multidisciplinary Sciences and Arts Vol. 3 No. 4 (2024): International Journal of Multidisciplinary Sciences and Arts, Article October 2
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v3i4.4616

Abstract

The industrial sector is undergoing a transformation thanks to artificial intelligence (AI), which is bringing revolutionary changes to a number of areas like robots and automation, supply chain efficiency, predictive maintenance, and quality control and assurance. This thorough analysis investigates AI's significant influence on contemporary manufacturing procedures. Artificial Intelligence (AI) improves machine capabilities in robotics and automation, creating more intelligent and flexible systems. Robots can now complete complicated tasks with more flexibility and precision thanks to AI-driven developments, which boosts manufacturing efficiency and human-robot cooperation. Another crucial area where AI has a big impact is predictive maintenance. With the use of machine learning algorithms and real-time data analysis, artificial intelligence (AI) helps manufacturers anticipate equipment faults before they happen. By taking a proactive stance, unplanned downtime is decreased, resource usage is optimized, and machinery longevity is increased. AI has a significant positive impact on quality assurance and control because to cutting-edge technologies like data analytics and computer vision. Artificial intelligence (AI) solutions facilitate predictive quality management, improve fault identification, and offer real-time monitoring. Higher quality standards, less waste, and more customer happiness are the outcomes of this. Artificial Intelligence (AI) tackles issues related to supplier performance, accurate forecasting, and inventory management in supply chain optimization. Automation and analytics powered by AI simplify supply chain processes, increase transparency, and facilitate improved decision-making, which lowers costs and increases flexibility. All things considered, integrating AI into manufacturing processes offers a strategic advantage by promoting increased accuracy, flexibility, and efficiency. The continued developments in AI technology have the potential to significantly influence how manufacturing develops in the future by creating new avenues for creativity and excellence in the sector.
Co-Authors Ali Husnain Amelia Amelia Ayesha Saeed Ibrar Hussain Ibrar Hussain Saad Rasool Shahrukh Khan Lodhi