Garuda - Garba Rujukan Digital

Using AI in Healthcare: Improving Fraud Detection and Combining Petroleum and Herbal Medicine Insights Muhammad Ibrar; Muhammad Fahad; Muhammad Umer Qayyum; Ali Husnain
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 4 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar

Artificial Intelligence (AI) is revolutionizing multiple sectors by enhancing efficiency, optimizing processes, and driving innovation. This article explores the transformative impact of AI across four diverse fields: healthcare, herbal medicine, the petroleum sector, and their interdisciplinary synergies. In healthcare, AI's applications include advanced diagnostics, personalized treatment, and improved fraud detection. Insights from the petroleum industry, where AI is used for predictive maintenance, exploration optimization, and safety management, offer valuable strategies for enhancing healthcare operations and fraud detection. Additionally, the integration of AI with herbal medicine promises to validate traditional remedies and personalize patient care by combining modern technology with ancient practices. The article highlights how cross-industry insights can lead to novel solutions and enhanced outcomes across different domains. By examining these interdisciplinary connections, the article underscores the potential of AI to bridge gaps, drive innovation, and create a more integrated approach to solving complex challenges, ultimately benefiting society and advancing the frontiers of technology and knowledge.

Integrating AI in Healthcare: Advancements in Petroleum Fraud Detection and Innovations in Herbal Medicine for Enhanced Cancer Treatment Approaches Ali Husnain; Muhammad Umer Qayyum; Muhammad Fahad; Muhammad Ibrar
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.v3i4.4810

Artificial intelligence (AI) is transforming a number of industries, such as healthcare, detecting petroleum fraud, and herbal medicine. AI solves difficult problems and opens up new avenues for growth. This paper examines how AI has revolutionized several sectors and identifies opportunities and synergies for the future. AI is improving administrative efficiency, tailored treatment, and diagnostics in the healthcare industry. Natural language processing and sophisticated machine learning models are enhancing the precision of diagnoses, customizing care, and streamlining hospital operations. To guarantee responsible integration, however, ethical issues and data protection issues need to be taken into account. Artificial intelligence is proving to be a vital tool in the fight against petroleum fraud, particularly in the areas of financial misreporting and fuel adulteration. Real-time monitoring systems and machine learning algorithms improve fraud detection, safeguard financial assets, and guarantee regulatory compliance. AI is helping to close the knowledge gap between current science and traditional herbal treatment. Artificial Intelligence enhances the efficacy, safety, and standardization of herbal remedies by evaluating plant components and forecasting their therapeutic effects. The significance of herbal treatments in conventional healthcare is strengthened by this integration, which also holds potential for novel treatment advancements. Prospects for the future include maintaining funding for AI research, tackling moral and legal issues, encouraging interdisciplinary cooperation, and raising public awareness. AI may be fully utilized by implementing these tactics, which will advance and enhance results in the fields of herbal medicine, fraud detection, and healthcare. All things considered, artificial intelligence (AI) is a disruptive force that can alter methods, improve efficiencies, and open up new avenues for research. These fields' futures will be shaped by its sustained development and prudent application, which will also help improve technology and healthcare more broadly.

Integrating AI in Healthcare: Innovations in Petroleum-Based Fraud Detection and Its Implications for Medical Diagnostics Muhammad Fahad; Muhammad Ibrar; Muhammad Umer Qayyum; Ali Husnain
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.v3i4.4655

Artificial intelligence (AI) is transforming a number of industries through increasing operational effectiveness, detecting fraudulent activity, and boosting diagnostic accuracy. In order to demonstrate the transformational potential of AI techniques across different areas, this review paper examines the convergence of petroleum-based fraud detection and AI applications in healthcare. The study looks at how artificial intelligence is currently being used in healthcare, particularly in tailored and medical diagnostics. After that, it explores how artificial intelligence (AI) is utilized in petroleum-based fraud detection, going over methods like data mining, anomaly detection, and machine learning algorithms that are used to find and stop fraud. The review emphasizes the possible advantages and synergies as it looks further into how fraud detection findings from the petroleum business might be applied to healthcare. Notwithstanding these advantages, the paper discusses the main obstacles and restrictions related to integrating AI, such as system integration, data security and privacy, accuracy and dependability, and ethical and legal issues. The study intends to provide significant insights into the efficient deployment of AI technologies and the potential for cross-industry applications to stimulate innovation and enhance results by giving a thorough review of these subjects.

Integrating AI in Healthcare: Advancements in Petroleum Fraud Detection and Innovations in Herbal Medicine for Enhanced Cancer Treatment Approaches Ali Husnain; Muhammad Umer Qayyum; Muhammad Fahad; Muhammad Ibrar
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.v3i4.4810

Artificial intelligence (AI) is transforming a number of industries, such as healthcare, detecting petroleum fraud, and herbal medicine. AI solves difficult problems and opens up new avenues for growth. This paper examines how AI has revolutionized several sectors and identifies opportunities and synergies for the future. AI is improving administrative efficiency, tailored treatment, and diagnostics in the healthcare industry. Natural language processing and sophisticated machine learning models are enhancing the precision of diagnoses, customizing care, and streamlining hospital operations. To guarantee responsible integration, however, ethical issues and data protection issues need to be taken into account. Artificial intelligence is proving to be a vital tool in the fight against petroleum fraud, particularly in the areas of financial misreporting and fuel adulteration. Real-time monitoring systems and machine learning algorithms improve fraud detection, safeguard financial assets, and guarantee regulatory compliance. AI is helping to close the knowledge gap between current science and traditional herbal treatment. Artificial Intelligence enhances the efficacy, safety, and standardization of herbal remedies by evaluating plant components and forecasting their therapeutic effects. The significance of herbal treatments in conventional healthcare is strengthened by this integration, which also holds potential for novel treatment advancements. Prospects for the future include maintaining funding for AI research, tackling moral and legal issues, encouraging interdisciplinary cooperation, and raising public awareness. AI may be fully utilized by implementing these tactics, which will advance and enhance results in the fields of herbal medicine, fraud detection, and healthcare. All things considered, artificial intelligence (AI) is a disruptive force that can alter methods, improve efficiencies, and open up new avenues for research. These fields' futures will be shaped by its sustained development and prudent application, which will also help improve technology and healthcare more broadly.

Revolutionizing Pharmaceutical Research: Harnessing Machine Learning for a Paradigm Shift in Drug Discovery Ali Husnain; Saad Rasool; Ayesha Saeed; Hafiz Khawar Hussain
International Journal of Multidisciplinary Sciences and Arts Vol. 2 No. 4 (2023): 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.v2i2.2897

The fusion of machine learning (ML) and artificial intelligence (AI) is experiencing a dramatic transition in the field of pharmaceutical research and development. This study examines the several effects of machine learning (ML) on different phases of medication discovery, development, and patient care. The capability of ML to quickly process huge chemical libraries and forecast interactions with target proteins is studied, starting with compound screening and selection. The potential for fewer false positives and negatives, improved hit prediction accuracy, and ensemble technique use are underlined. The part that machine learning plays in enhancing Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET) profile is then explained. ML models anticipate compound actions inside the human body by analyzing molecular structures and characteristics, improving assessments of drug safety and efficacy. The article goes into further detail about predictive modeling, highlighting how machine learning may be used to find prospective therapeutic targets and confirm their applicability. The combination of multi-omics data, deep learning, and the possibility to identify similar molecular pathways across diseases highlight the game-changing potential of machine learning in this field. The article also covers the use of ML in clinical trials, highlighting its benefits for trial planning, patient recruitment, real-time monitoring, and individualized therapy predictions. By utilizing computational analysis and quantum physics, the power of machine learning-driven de novo drug creation is examined, revealing the potential to develop new therapeutic candidates. In this article, the ethical issues surrounding AI-driven drug discovery are discussed, with a focus on the necessity of transparent data utilization, human oversight, and responsible data consumption. The report ends by predicting ML's potential for pharmaceutical R&D in the future. Accelerated drug discovery pipelines, the rise of customized medicine powered by predictive models, optimized clinical trials, and a change in medication repurposing tactics are all envisaged in this. The report emphasizes the revolutionary potential of ML in altering pharmaceutical research and development while noting obstacles in data quality, model interpretability, ethics, and interdisciplinary collaboration. It is suggested that the ethical integration of AI technologies, interdisciplinary cooperation, and regulatory modifications are essential steps to unlock the full potential of ML and AI and, ultimately, provide patients throughout the world with safer, more efficient, and individualized treatments.

Title

Found 5 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 5 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 5 Documents
Search