Table 1. AI predictive analytics in patient outcomes.

AI: artificial intelligence

Factors	Identify high-risk patients	Early intervention and prevention	References
Disease risk	Predict disease progression	Tailored treatment plans	[36]
	Analyze genetic data	Personalized medicine approaches	[5]
Treatment	Predict drug response	More effective treatments and fewer side effects	[37]
	Real-time patient monitoring	Early detection of issues and treatment adjustments	[38]
	Readmission risk prediction	Reduce hospital readmissions	[39]