Introduction: What is Artificial Intelligence (AI)?
Computer machines are programmed to learn, think and make decisions like humans. Machine learning, deep learning methods, are integral part of the Artificial intelligence.
Basics of Data Science and Machine Learning: The data go through several steps like
cleaning, feature extraction, feature scaling using various machine learning algorithms. The multipurpose large language AI models and domain specific models are available.
Why AI Matters in Indian Healthcare
India Faces a Dual Challenge: High patient load and limited health infrastructure. AI offers scalable, cost-effective tools to assist overburdened healthcare providers.
Key Applications of AI in Healthcare: The key applications of AI include diagnosis and screening, treatment planning, decision support Systems (DSS), workflow optimization, Precision and personalized care.
Indian Context: Opportunities and Challenges
High mobile penetration enables AI-based telemedicine in rural areas. Also remote patient monitoring, and offering specialist care for rural people are possible with this technology. There also challenges like data Privacy, bias, standardization, trust of clinicians and patients and organizations like CDSCO and ICMR are addressing this.
Augmented Intelligence: Building AI models taking the help of domain experts- Doctors or paramedics and incorporating it in the clinical environment with the Physician in the loop of health care.
Future Prospects: The upcoming Explainable AI (XAI) models, Retrieval Augmented
Generation systems, Model Context Protocol, Federated Learning will improve the quality and performance of the AI systems.
Conclusion: AI is not a threat to doctors—it is a powerful tool that augments human intelligence and capable of revolutionizing Indian healthcare system.