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All Journal International Journal of Multidisciplinary Sciences and Arts BULLET : Jurnal Multidisiplin Ilmu
Shah Zeb
Unknown Affiliation
Humanities Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing

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Transforming Healthcare: Artificial Intelligence's Place in Contemporary Medicine Shah Zeb; Nizamullah FNU; Nasrullah Abbasi; Muhammad Umer Qayyum
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 4 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

This review article explores the integration of artificial intelligence (AI) in healthcare, highlighting its potential benefits, challenges, and future directions. The main areas covered include AI's enhancement of diagnostic accuracy and efficiency in medical imaging by precision data analysis, thereby improving early detection and treatment outcomes. Notable examples of AI in action include Google's Deep Mind in retinal scans and IBM Watson Health in oncology. Artificial intelligence (AI) is revolutionizing healthcare by offering transformative advancements across various domains, from enhancing diagnostic accuracy to personalizing treatment strategies. Specific case studies illustrate the successful application of AI in various healthcare settings, including radiology, drug discovery, and patient monitoring. These examples highlight AI's impact on improving diagnostic precision, accelerating drug development, and enhancing patient care. AI accelerates drug discovery by analyzing complex biomedical data to identify potential drug candidates and predict their efficacy. Examples include Benevolent I’s work on ALS and Atom Wise’s efforts to identify Ebola antiviral compounds. AI improves patient monitoring through wearable devices and remote management systems, providing real-time insights and personalized recommendations. Examples include Fit bit’s health trackers and Living Health's chronic condition management platform. Better patient outcomes, optimized resource management, and enhanced operational efficiency are all made possible by artificial intelligence (AI). However, despite AI's potential, the healthcare industry faces a number of challenges related to the technology, including data privacy and security, bias and fairness in AI models, and integration with legacy systems. Resolving these issues is essential to the ethical and regulatory framework that governs the use of AI in healthcare. Important concerns include patient consent, accountability, transparency, and the development of appropriate regulations and standards.
AI in Healthcare: Integrating Advanced Technologies with Traditional Practices for Enhanced Patient Care Nasrullah Abbasi; Nizamullah FNU; Shah Zeb
BULLET : Jurnal Multidisiplin Ilmu Vol. 2 No. 3 (2023): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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The field of healthcare is fast changing due to artificial intelligence (AI), which presents previously unheard-of possibilities for bettering patient care, expediting medical research, and boosting the delivery of healthcare as a whole. The many facets of AI's influence on healthcare are examined in this review, with particular attention paid to drug research and discovery, personalized medicine, predictive analytics and preventive care, and ethical and legal issues. AI has made tremendous advances in personalized medicine, enabling the creation of individualized treatment regimens based on a patient's unique genetic, environmental, and behavioral characteristics. AI-powered technologies improve treatment plans and make it easier to identify genetic markers, improving the accuracy and potency of medical therapies. AI's ability to analyze large datasets has transformed predictive analytics and preventive care by enabling precise health risk projections and early detection of possible problems. By encouraging ongoing monitoring and individualized preventive care, this proactive strategy enhances both operational effectiveness and health outcomes. The process of drug discovery and development has been made more efficient by AI-driven innovations that have improved target identification, optimized compound screening, and clinical trial management. These developments speed up the release of novel medicines by cutting development time and expenses and improving the chance of a drug's beneficial effects. But there are also a lot of moral and legal issues with integrating AI in healthcare. To ensure the appropriate and fair use of AI technology, concerns including data privacy, algorithmic bias, transparency, accountability, and changing legislative frameworks need to be addressed. Sustaining patient confidence and attaining successful results depend heavily on implementing strong data protection, reducing biases, and encouraging openness.
AI in Healthcare: Revolutionizing Diagnosis and Therapy Shah Zeb; Nizamullah FNU; Nasrullah Abbasi; Muhammad Fahad
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.v3i3.4546

Abstract

Artificial Intelligence (AI) is revolutionizing healthcare through its integration into various domains, significantly enhancing the efficiency, accuracy, and effectiveness of medical practices. This review explores the transformative impact of AI across multiple aspects of healthcare, including diagnostics, personalized treatment, drug discovery, surgery, and more. AI's capabilities in diagnostics and early detection are improving the precision and speed of disease identification, enabling earlier and more effective interventions. Personalized treatment approaches leverage AI to analyze patient data and tailor therapies to individual needs, optimizing outcomes and reducing adverse effects. AI-driven robotics in surgery offer enhanced precision, control, and minimally invasive options, leading to improved surgical outcomes and faster recovery times. Despite these advancements, the adoption of AI in healthcare presents challenges and ethical considerations, including data quality, algorithmic bias, patient privacy, and the responsible use of AI technologies. Addressing these issues is crucial for maintaining trust and ensuring equitable access to AI-powered healthcare solutions. AI's role in drug discovery and development is accelerating the creation of new therapies by optimizing predictive modeling, drug design, and clinical trials, thus reducing costs and speeding up the development process. Future trends and innovations in AI highlight ongoing advancements and the potential for further transformation in healthcare. These include advancements in natural language processing, AI-enhanced telemedicine, wearable health technologies, and ethical AI governance. As AI technology continues to evolve, its impact on healthcare will become increasingly significant, driving progress in patient care, operational efficiency, and medical research. Collaborative efforts among technologists, clinicians, researchers, and policymakers will be essential in harnessing AI's full potential while addressing the complexities and ethical challenges associated with its use. This review underscores the promise of AI to revolutionize healthcare and improve patient outcomes while emphasizing the need for responsible implementation and ongoing evaluation.
Co-Authors Muhammad Fahad Muhammad Umer Qayyum Nasrullah Abbasi Nizamullah FNU