About the Journal

The title "Journal of AI-Powered Medical Innovations" conveys a focus on the transformative role of artificial intelligence (AI) in driving advancements in the medical field. The journal likely explores how AI technologies are being harnessed to innovate across various aspects of healthcare, from diagnostics and treatment to drug discovery and healthcare delivery. It suggests a publication that is dedicated to presenting research, reviews, and case studies on the integration of AI with medical science, highlighting breakthroughs, challenges, and the future potential of AI in revolutionizing medicine.

Current Issue

Vol. 3 No. 1 (2024): Advancing Healthcare through AI: Transformative Solutions and Emerging Trends
View Vol. 3 No. 1 (2024): Advancing Healthcare through AI: Transformative Solutions and Emerging Trends

This issue explores the latest advancements in artificial intelligence as a driving force in medical innovation. From predictive diagnostics to personalized treatment plans, it highlights groundbreaking research and case studies that demonstrate the transformative potential of AI in healthcare. The articles address challenges such as ethical considerations, data privacy, and integration into clinical workflows, offering insights for researchers, practitioners, and policymakers committed to reshaping the future of medicine.

DOI: https://doi.org/10.60087/Japmi.Vol.03.Issue.01
Published: 2024-12-19

Articles

  • AI for Early Disease Detection: Developing models for early diagnosis of diseases like cancer or Alzheimer’s using biomarkers and imaging data

    Abdelrahman Freek, Ahmed Elgalb, Maher Gerges (Author)
    1-24
    DOI: https://doi.org/10.60087/Japmi.Vol.03.Issue.01.ID.001

  • Real-Time Data Integration for Emergency Response in Healthcare Systems

    Vamshi Bharath Munagandla, Sandeep Pochu, Sai Rama Krishna Nersu, Srikanth Reddy Kathram (Author)
    25-38
    DOI: https://doi.org/10.60087/Japmi.Vol.03.Issue.01.ID.002

  • Scaling Kubernetes Clusters with AI-Driven Observability for Improved Service Reliability

    Sandeep Pochu, Sai Rama Krishna Nersu, Srikanth Reddy Kathram (Author)
    39-52
    DOI: https://doi.org/10.60087/Japmi.Vol.03.Issue.01.Id.003

  • Hyper-personalization Through Long-Term Sentiment Tracking in User Behavior: A Literature Review

    Raghu K Para (Author)
    53-66
    DOI: https://doi.org/10.60087/Japmi.Vol.03.Issue.01.Id.004

  • Optimizing Mathematical Problem-Solving Reasoning Chains and Personalized Explanations Using Large Language Models: A Study in Applied Mathematics Education

    Biao Ye, Yue Xi, Qiwen Zhao (Author)
    67-83
    DOI: https://doi.org/10.60087/Japmi.Vol.03.Issue.01.Id.005

  • AI and Healthcare in 2030: Predictions and Pathways

    Anzirun Nahar Asma (Author)
    84-101
    DOI: https://doi.org/10.60087/Japmi.Vol.03.Issue.01.Id.006

  • Ethical Challenges and Opportunities in AI-Driven Healthcare

    Dr. Amina Islam (Author)
    102-114
    DOI: https://doi.org/10.60087/Japmi.Vol.03.Issue.01.Id.007
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