Preface

Accelerated digital transformation of healthcare in the last half -decade offers a wide range of possibilities powered by Artificial Intelligence (AI), Data Science (DS), and Machine Learning (ML). Traditional methods in the health care system, like clinical history, diagnosis, examination, treatments, and patient care, have been revolutionized using these emerging technologies, offering operational efficiency and patient outcomes unlike any in its history. Telemedicine, remote care, electronic health records (EHRs), big data analytics, IoTs, and wearable devices are redefining how healthcare is offered and received by stakeholders with greater efficiency.

However, it presents greater challenges, including ethical issues, equity, the digital divide, integration and adoption, and data security concerns, and therefore requires a diligent regulatory framework.

Health Care’s Digital Revolution: The AI/ML impact explores this profound shift, evaluation how AI/ML is re-shaping the medical healthcare system, redefining medicine, virtual health assistant, drug discovery, personalized treatment, administrative automation, remote patient monitoring, telemedicine, robotic surgery, predictive analytic and many more. This book is designed considering the moot points related to healthcare and can be handy for medical practitioners, healthcare professionals, policy makers, and anyone intrigued by the overlapping of medicine and cutting-edge innovations and technologies.

Inside, you will find:

● The Foundations of AI/ML in Health Care – Key concepts in AI/ML, data in health care AI, barriers and enablers, innovation driving the revolution.

● Transforming Patient Care – AI-based diagnostics, preventive care, drug discovery, and precision medicine.

● Operational and Ethical Challenges – Data privacy, algorithmic bias, and the human-AI collaboration dilemma.

● The Future Landscape – Emerging trends, regulatory framework, and the path toward equitable, AI-driven health care.

This book is not just a technical exploration but also gives an insight into the seismic shift of traditional practices, as well as a call to action to harness AI/ML responsibly, ensuring that innovation serves society for a better cause. We acknowledge the pioneers in technology/science/engineering/medicine whose work makes this evolution possible, and we invite readers to engage critically with the promises and perils of this new era.

The digital revolution in health care is here. The question is no longer if AI and ML will change medicine, but how we will steer that change for the greater good.