1. Introduction

In recent years, healthcare management systems have faced increasing strain, with chronic diseases and pandemics like COVID-19 stretching resources to their limits. Cardiovascular diseases, colorectal cancer, strokes, highlight the ongoing challenge. Post-surgery patients often need continuous monitoring, but frequent hospital visits are costly, inefficient, and inconvenient. Despite technological advances, many industrialized nations struggle with the quality and affordability of healthcare, raising concerns about the sector's sustainability and prompting the use of makeshift facilities and telehealth technologies.

The limitations of contemporary healthcare systems have spurred interest in alternative approaches aimed at promoting effective personalized care. Among these approaches, Ambient Intelligence (AMI) and the Internet of Medical Things (IoMT) represent a paradigm shift towards intelligent healthcare. AMI, known for creating adaptable and contextually aware environments, can transform healthcare facilities into intelligent ecosystems tailored to individual patient needs. Simultaneously, IoMT technologies facilitate interconnected medical devices and sensors, enabling real-time monitoring, data collection, and remote patient management. Integrating AI algorithms in AMI and IoMT systems enhances their capabilities with advanced data analytics, predictive modeling, and decision support functionalities.

The benefits of this integration include:

• Automated home monitoring services
• Reduced hospital and hospice occupancy
• Lower healthcare costs
• Personalized healthcare services
• Predictive analysis for early disease detection

These AI-powered technologies promise a new era of intelligent healthcare, prioritizing patient-centered care while optimizing operational efficiency. The integration of AMI and AI in healthcare through IoMT requires an exhaustive review of relevant literature, knowledge of different sensors, actuators, communication protocols, and AI-based approaches, as well as case studies to highlight the benefits, potential hurdles, and future trajectories of utilizing AMI and AI in healthcare via the IoMT.  The detailed information can be read from the survey paper at https://www.mdpi.com/2079-9292/13/12/2309.