Transforming Cancer Care: The Impact of AI-driven Strategies.

Journal: Current cancer drug targets
Published Date:

Abstract

AI is a critical component in healthcare, especially in the application of precision medicine where patients' characteristics, including genetic makeup, determine the treatment options that should be implemented. AI sorts big data, predicting people's reactions to specific treatments, the right combinations of drugs, and possible side effects, therefore increasing the efficiency of the treatment process and decreasing negative outcomes. This article briefly presents the ethical issues and concerns that might arise due to the integration of AI in society, such as the privacy of data, the issues of bias in the algorithms, and the issues of interpretability of the AI systems. Nevertheless, there is no doubt that AI can bring qualitative changes in cancer care based on its potential to enhance patient prognosis and reduce health care costs, as well as become a defining feature of the standard of care.

Authors

  • Debanjan Mukherjee
    Department of Quality Assurance, ISF College of Pharmacy, Moga, Punjab, 142001, India.
  • Debajyoti Roy
    Department of Pharmacognosy, C.V. Raman Global University, Bhubaneswar, 752054, Odisha, India.
  • Shubham Thakur
    Department of Pharmaceutical Sciences, Guru Nanak Dev University Amritsar India.