Published Paper Details:

Artificial Intelligence (AI) and Machine Learning (ML) have emerged as transformative technologies driving innovation across medicine and healthcare. These intelligent systems enable early disease detection, personalized treatment, and enhanced clinical decision making. Precision medicine and patient-centered care leverage artificial intelligence (AI) and machine learning (ML) to deliver tailored treatments and improved health outcomes. Precision medicine has emerged as a cornerstone, providing personalized treatments based on genetic, environmental, and lifestyle factors to maximize efficacy and minimize side effects. Tele health has greatly expanded access to care, leveraging smartphones, wearable devices, and medical apps to facilitate remote consultations, follow-ups, and preventive education--particularly beneficial for patients in remote or mobility-challenged settings. Mental health technology is advancing through AI-powered therapy apps and virtual reality interventions, increasing accessibility and personalization in psychological care. Wearable health technologies have evolved from basic fitness trackers to sophisticated devices monitoring vital health metrics such as blood pressure and blood glucose, thereby empowering individuals to actively manage their health. Artificial intelligence (AI) and machine learning (ML) are revolutionizing diagnostics by rapidly analyzing extensive medical data to identify early disease signs and predict patient outcomes, enabling timely, personalized treatments. This summary synthesizes key medical and healthcare trends based on recent expert insights and industry analyses from 2025. The current state of AI in clinical practice, including its potential applications in disease diagnosis, treatment recommendations, and patient engagement. It also discusses the associated challenges, covering ethical and legal considerations and the need for human expertise. By doing so, it enhances understanding of AI's significance in healthcare and supports healthcare organizations in effectively adopting AI technologies.