Advancing Patient Care through Advanced AI and ML Techniques: Current Trends and Future Directions in Healthcare

Russell A. Kawsar

Authors

Russell A. Kawsar Research Scholar, Health Care Management, MSc., United Kingdom. Author

Keywords:

AI, ML, Healthcare, Patient Care, Diagnostic Accuracy, Treatment Effectiveness, Personalized Medicine, Predictive Analytics, Data Privacy, Bias Mitigation, Healthcare Management, Telemedicine, Decision Support Systems

Abstract

Advancing patient care in healthcare relies increasingly on advanced Artificial Intelligence (AI) and Machine Learning (ML) techniques. This paper explores the current trends and future directions of AI and ML applications in healthcare. Through a comprehensive review of recent advancements, this research highlights the transformative impact of AI and ML on patient diagnosis, treatment, and overall healthcare delivery. From predictive analytics to personalized medicine, AI and ML technologies are revolutionizing healthcare practices, enhancing efficiency, accuracy, and patient outcomes. This paper discusses the challenges and opportunities associated with the adoption of AI and ML in healthcare and proposes strategies for maximizing their potential benefits while addressing ethical and regulatory considerations. By understanding the current landscape and anticipating future developments, healthcare stakeholders can harness the power of AI and ML to drive innovation and improve patient care.

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