AI in Modern Healthcare, E-Commerce, and Data Analysis- Integrative Applications for Depression Detection, Market Trends, and Algorithm Optimization

Abstract

Artificial Intelligence (AI) has become a driving force in the transformation of numerous sectors, with particularly significant impact on healthcare, e-commerce, and data analysis. In healthcare, AI technologies are being increasingly used to detect and diagnose conditions such as depression, revolutionizing mental health care through early identification and personalized treatment approaches. In the realm of e-commerce, AI’s capabilities extend to analyzing market trends, predicting consumer behavior, and optimizing business strategies, creating opportunities for greater efficiency and customer satisfaction. Furthermore, AI plays an essential role in data analysis, enhancing the performance of algorithms used to process large volumes of data, thereby improving decision-making accuracy across various industries. This paper explores how the integration of AI in these fields is not only advancing each domain independently but also fostering synergies that drive innovation. By focusing on depression detection, market trend forecasting, and algorithm optimization, this study demonstrates the transformative potential of AI across diverse applications. The interplay between AI’s impact on healthcare, e-commerce, and data analytics opens new avenues for future research and application, promising to reshape industries and improve the quality of life for individuals worldwide.