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Green Innovations: Artificial Intelligence and Sustainable Materials in Production Shahrukh Khan Lodhi; Ahmad Yousaf Gill; Hafiz Khawar Hussain
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 4 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

This study examines the revolutionary potential of integrating artificial intelligence (AI) with sustainable materials in production through a series of case studies, featuring innovations by Adidas, Tesla, Unilever, and IKEA. These illustrations demonstrate how AI may be used to create recyclable goods, maximize material efficiency, and simplify supply chains—all of which greatly lessen the manufacturing process's negative environmental effects. The study also identifies the main domains in which these technologies are propelling improvements in operational effectiveness and environmental sustainability. Robust regulatory frameworks are required to assure the safe, transparent, and equitable implementation of AI as it becomes increasingly integrated into industrial processes. The article also highlights the need for responsible innovation by discussing the ethical and policy ramifications of utilizing AI in sustainable manufacturing, as well as the societal impact of AI on data privacy and the workforce. Lastly, the environmental effects of AI itself are discussed, emphasizing the need for renewable energy sources and energy-efficient AI systems. Through collaboration between governmental, industrial, and social sectors, artificial intelligence (AI) can be leveraged to propel environmentally and socially responsible production methods. In order to create a more sustainable and prosperous future, the paper's conclusion emphasizes the need for a balanced strategy that optimizes AI's benefits while guaranteeing moral and egalitarian outcomes. Going ahead, the report makes the case that artificial intelligence and sustainable materials will play a pivotal role in molding a manufacturing landscape that is both efficient and environmentally beneficial. However, achieving this potential will necessitate managing the dangers and difficulties that come with it carefully.
Innovations in AI-Powered Healthcare: Transforming Cancer Treatment with Innovative Methods Saad Rasool; Mohammad Ali; Hafiz Muhammad Shahroz; Hafiz Khawar Hussain; Ahmad Yousaf Gill
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 1 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

Abstract: In this thorough review, we explore the multifaceted role of artificial intelligence (AI) in cancer medicine, highlighting its potential applications, challenges, and future directions. Artificial intelligence (AI) holds enormous promise for revolutionizing patient care and improving outcomes when integrated into various aspects of cancer medicine, including drug discovery and development, early detection and screening, and drug discovery. AI-driven methods in early detection and screening can increase sensitivity, decrease false-positive rates, and provide personalized risk assessment, which can boost the efficacy and efficiency of cancer screening programs. However, issues like algorithm bias, data quality, and regulatory compliance need to be resolved before AI can be fully utilized in this field. In addition, AI-driven drug discovery and development offers chances to speed up target identification, repurpose current medications, and create new therapeutics with improved safety and efficacy profiles. However, even with AI's potential to speed up drug discovery, issues with data accessibility, algorithm interpretability, and ethical implications still exist. Researchers, clinicians, regulators, and industry stakeholders must work together to develop strong data-sharing initiatives, ethical guidelines, and governance frameworks in order to address these challenges. By putting patient-centered approaches first, integrating multi-modal data, and encouraging interdisciplinary collaboration, we can harness the transformative power of AI to speed up the translation of research findings into novel therapies and enhance global cancer patient outcomes.
Evaluating the Potential of Artificial Intelligence in Orthopedic Surgery for Value-based Healthcare Aftab Tariq; Ahmad Yousaf Gill; Hafiz Khawar Hussain
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.