• Pooja Mangal Prajapati
• Rohini Bhosale
• Chetana Tanavade

The rapid development of artificial intelligence (AI) in healthcare is transforming disease detection, diagnosis, and treatment. Medical imaging, robotic-assisted surgery, predictive analytics, and tailored medication are examples of AI-driven innovations that are improving patient outcomes by offering faster, more accessible, and more accurate solutions. Using surveys and chi-square analysis, this study uses a non-experimental quantitative research methodology to evaluate the effectiveness of AI in disease detection, its role in healthcare, and public opinion of AI-driven testing and diagnostics. However, concerns related to data privacy, ethical implications, and a trust in AI-based diagnoses remain to be major obstacles. Future research, according to findings should concentrate on improving AI’s accuracy, resolving moral dilemmas and improving public trust in AI-driven medical solutions.

Artificial Intelligence, Disease Detection, Public perception, HealthCare, Chi-Square Analysis.

"Role of Artificial Intelligence in Disease Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 3, page no.d380-d386, March-2025, Available :http://www.jetir.org/papers/JETIR2503343.pdf

"Role of Artificial Intelligence in Disease Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 3, page no. ppd380-d386, March-2025, Available at : http://www.jetir.org/papers/JETIR2503343.pdf