Technological advances in healthcare, particularly artificial intelligence (AI) and connected devices, have revolutionized the delivery of care by enhancing diagnostic accuracy, enabling personalized treatments, and improving patient outcomes. These innovations leverage sophisticated algorithms, Big Data analytics, and real-time monitoring systems, as demonstrated by examples such as predictive models for hospital-acquired infections with 85% sensitivity (Feng et al., 2023) and personalized cardiac treatments reducing left ventricular mass index by 16% (Geroski et al., 2023). However, the question of whether these technologies can fully replace medical opinions remains open and contentious. This article provides a comprehensive exploration of the current capabilities of AI and connected devices, delving into their potential to transform clinical practices while identifying significant ethical, technical, and human challenges. These challenges include issues of trust among clinicians, the “black box” nature of AI algorithms, data privacy concerns, algorithmic biases, and the need for high-quality, well-labeled datasets. Drawing on a systematic review of 15 scientific articles published between 2022 and 2024, the article proposes a future vision centered on a collaborative framework where doctors and technologies work together. This vision emphasizes the integration of explainable AI (XAI) systems to enhance transparency, the use of connected devices for proactive chronic disease management, and the development of ethical guidelines to ensure equitable access to care. Ultimately, the article concludes that AI and connected devices are unlikely to replace doctors but will play an essential complementary role in optimizing healthcare delivery, paving the way for more precise, efficient, and accessible medical services.