Abstract
This study thoroughly reviews the status of applications of artificial intelligence (AI) in healthcare, trends regarding AI usage for different disease types and problems that hamper their further progress. The study used a literature review and data analysis by locating relevant current articles on AI in healthcare through the PubMed database. The work analyzes AI use in cancer, cardiovascular diseases and neurological disorders as well as the bottlenecks in the real-world deployment of healthcare. The findings of the study indicate that, while AI has demonstrated the potential to improve diagnostic precision, several obstacles persist in relation to data privacy, ethical considerations, and model interpretability. In conclusion, this review offers an assessment of the current state of AI applications in healthcare and identifies key areas of concern that necessitate further investigation. By addressing these challenges, future innovations can be more effectively developed and broadly implemented, ultimately contributing to the advancement and optimization of AI-driven healthcare solutions
Published Version
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