Author: Vishnu Priya K, E Sakthija, Sumithra K, Saranya R
Published On: 2026-08-27
Artificial intelligence plays a major role in healthcare systems by assisting healthcare professionals through smart healthcare system and patient care. Artificial intelligence is a revolutionizing technique in medical diagnostics through analysing complex clinical datasets and providing accurate and precise decision in diverse disease conditions. Machine learning and deep learning techniques are popularly used in disease diagnosis, drug discovery and patient risk factor identification. The efficiency of AI Based diagnosis depends on integrating data resources from magnetic resonance imaging, ultrasound, CT Scans and genomic studies. AI accelerates hospital efficiency and improves patient recovery at home. The current study focus on early diagnosis of cardiovascular disorders, cancer, diabetes, infectious conditions and neurological conditions. Early identification of diabetic, neurological, cancerous and cardiac disorders enables efficient treatment and improves medical interventions. AI driven diagnostic platforms are efficient in improving clinical practice and improving patient outcomes, though success is based on resolving ethical, technological and regulatory issues.
Keywords: Artificial Intelligence, Machine Learning, Disease Diagnosis, Healthcare applications
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2026
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Research Article
2/11, SASTRI NAGAR, KOYEMBEDU, CHENNAI-600107
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