ADVANCEMENTS IN HEALTH THROUGH ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

Khasim SK

SK. Khasim Priyadarshini Institute of Pharmaceutical Education and Research, 5th Mile, Pulladigunta, Guntur-522017, Andhra Pradesh, India.

Abstract

The implementation of artificial intelligence (AI) is driving significant transformation inside the administrative and clinical workflows of healthcare organizations at an accelerated rate. This modification highlights the significant impact that AI has on a variety of tasks, especially in health procedures relating to early detection and diagnosis. Artificial Intelligence in healthcare helps to enhance patient diagnoses, improve prevention and treatment, increase cost efficiency, and serve as a way to provide equitable access and treatment for the entire role of artificial intelligence in the healthcare industry. On the positive side, artificial intelligence presents several opportunities in healthcare industry, including improved patient monitoring, managing patient data, predictive medicine; improved teamwork and decision-making, improved patient engagement and compliance; rehabilitation; and administrative applications. Ethical issues, such as data privacy and bias, are among the most significant challenges. While AI enhances efficiency and outcomes, human oversight remains essential to ensure safe, equitable, and ethical deployment. The future of healthcare will increasingly depend on responsible AI adoption that balances innovation with patient-centred values.

Keywords: Artificial intelligence, healthcare, biomedicine, artificial neural network, clinical diagnostic, healthcare systems

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