These arms precisely mimic the surgeon's hand movements and provide a more excellent range of motion than traditional laparoscopic instruments . Working with a software development agency gives businesses access to specialized expertise without […] As the industry continues to evolve, we can expect to see more widespread adoption of medical robots in hospitals and clinics, leading to better patient outcomes, reduced recovery times, and increased staff productivity. By combining advanced technologies like artificial intelligence, robotics, and computer vision, medical robots have improved accuracy, precision, and efficiency in various medical applications. Equipped with advanced technologies like LiDAR systems, visual computing, or mapping capabilities, AMRs can navigate complex hospital environments with ease, allowing clinicians to interact remotely with patients in exam or hospital rooms. These arms are equipped with surgical instruments and can access tight spaces within the body, making them essential for intricate procedures. While the Da Vinci system remains dominant, several emerging competitors and alternative robotic surgical systems have entered the field. The Da Vinci system has been employed across various surgical specialties, including urology, gynecology, general surgery, and cardiac surgery. The vision system offers 3D visualization and magnification, enhancing the surgeon's ability to navigate complex anatomical structures . In Operation Lindbergh, a laparoscopic intervention was performed on a patient located in Strasbourg, France while the operating surgeon was located in New York, USA. Fischinger et al. , for example, presented the development and evaluation of ‘Hobbit’ a care robot to promote ageing in place and postpone the need to move to a care facility. New strategies that provide interesting and motivating interventions are often incorporated to improve participation and performance. Intelligent patient services are an important concept for innovative hospitals that use information technology, including medical service robots, to provide more convenient, faster, and more accurate medical services . The development of triage and guidance robots has significantly enhanced outpatient service efficiency and elevated the patient experience. This transformation is evident across several key areas, including surveillance and monitoring, disinfection, logistics, and patient triage and guidance, thereby streamlining hospital workflow. Existing reviews tend to be compartmentalized, focusing on isolated domains such as the mechanical performance of surgical systems while overlooking economic feasibility, ethical implications, or cross‐platform interoperability . To fully harness these capabilities, healthcare professionals must stay informed about emerging innovations and actively seek collaborative opportunities with robotics developers. Robots operating in medical environments must adhere to strict reliability and precision standards, as even minor errors can have life-threatening consequences. With regulatory frameworks in place, training programs for medical professionals will become essential to ensure seamless integration of robotic systems into existing workflows. Medical robotics has emerged as a game-changing technology in healthcare, revolutionizing patient care, surgical procedures, and rehabilitation practices. As robotics continues to advance in tandem with machine learning, data analytics, computer vision, and other technologies, we can expect to see robots assuming a more prominent role in healthcare. By leveraging AI, computer vision, and machine learning technologies, surgical-assistance robots have become an indispensable tool for complex operations. Javaid et al. underscore that economies of scale are achieved as surgical teams gain experience, leading to shorter operative times and optimized resource utilization, which further enhances cost-efficiency. Lai et al. provide an in-depth economic evaluation showing that robotic-assisted surgery, when applied appropriately, leads to significant savings. Balakrishna et al. emphasize that the integration of AI in robotic systems automates routine surgical maneuvers with high consistency, leading to enhanced procedural efficiency and fewer intraoperative complications. Beyond safety, the clinical effectiveness of AI-robotic surgery is increasingly evident in enhanced procedural success rates, reduced operative times, and improved patient functional outcomes. The rehabilitation robot designed for small muscle groups is intended to facilitate the restoration of fine motor skills, such as grasping and pinching, which are essential for activities of daily living. The incorporation of advanced technologies, such as AI, machine learning, sensing technology, and virtual/augmented reality, has significantly advanced the control accuracy, real‐time feedback, and interactive capabilities of rehabilitation robots . Consequently, DRL equips medical robots with the critical ability to learn and adapt, enabling them to make optimal decisions in dynamic clinical scenarios and serving as a key enabling technology for achieving higher levels of robotic autonomy . In this sense, CV and machine learning provide not only perception, but also environment‐level comprehension and short‐horizon prediction, which are key requirements for progressing from accurate execution to context‐aware autonomy . Fitted with 28 sensors per arm, the company’s robot imitates surgeon’s movements and displays impressive rotational capabilities. Vicarious Surgical’s robotic system equips surgeons with a console and a robot with tiny human-like arms for more precise operations. These robots consist of tools, equipment, sensors and software that communicate with each other to form an interconnected ecosystem that can deliver insights and inform a surgeon’s decisions. Hospitals and healthcare organizations are integrating medical robots into their workflows, and tech companies are accelerating the adoption of robotics in the healthcare industry. A discussion around the future of robotics in healthcare, including the main challenges and recommendations for their implementation in a health context is presented in Sect. The identification of drivers, challenges, applications and key recommendations to the implementation of robots in healthcare presented here can be used as guideline to the future development and implementation of robotic solutions in healthcare. Since the overall sector of robotics in healthcare is still an emerging area, it is difficult to make a final conclusion about the future trajectory. The main objective is to provide a comprehensive review on the state-of-the-art, and chart the main opportunities to inform future developments, as well as the challenges and necessary considerations for implementation of robots in healthcare. Moving forward, we foresee that emerging technology will improve robots’ abilities even further, allowing them to be more self-sufficient and work more closely with humans. Surgeons can manipulate tissues and instruments with high control, enhancing their surgical capabilities . These instruments are vital for performing various surgical tasks, including suturing, dissecting, cauterizing, and cutting. Robotic surgical instruments are specially designed to replicate the human hand's range of motion while filtering out any tremors or unintended movements. The articulation and dexterity of robotic arms enable surgeons to manipulate tissues and perform tasks accurately . These challenges in real‐time performance are also critical in teleoperated robot operations. In impedance control, the system adjusts the output force based on the input displacement. The performance of AI‐driven robotics is fundamentally dependent on the quality and quantity of data used for training. This section provides a thorough examination of the significant limitations confronting medical robots in clinical applications (Figure 5A). The robot developed by Siao et al. guides users to the correct location by voice, has translation capabilities, and can provide emergency contact information, while detecting obstacles and reducing hazards . Since then, technology has rapidly progressed impacting positively the capabilities of robots. With more than 10% of the global gross domestic product (GDP) spent on healthcare , digital innovation is increasingly important to both reduce costs and improve outcomes. GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article. Emerging technologies continue to shape the industry's future, fostering enhanced surgical capabilities and improved patient care globally. The US is the leading country in robotics adoption within the medical device industry, boasting the highest number of robotics-related patents, jobs, and deals. Intuitive Surgical, Medtronic, Stryker, Procept Biorobotics, and Danaher are among the top companies leading in robotics hiring within the medical device industry. The use of robots in more challenging and less controlled environments is a potential area for further research. This may be because some environments are more unpredictable, with fewer repetitive tasks that are well suited for a robot. It can also be linked with the ongoing development of technologies and the promise of robots alleviating the healthcare works’ burden and improving patient outcomes. Advancements in materials science are essential to ensure that robotic systems can interact with the human body safely and efficiently. These miniature robotic agents could be designed to navigate the human body, targeting and treating diseases at their source with unparalleled precision. https://www.dnaxplore.com/ will act as reliable extensions of the surgical team, amplifying human capabilities and ensuring consistent, high-quality outcomes . Additionally, outpatient and same-day surgery options offer patients greater convenience and comfort during their recovery, leading to a more patient-centered approach to healthcare delivery . To achieve this, it is important that end-users of robots are involved in the research, development and deployment of systems. Future developments in the field will require addressing both clinical and technological challenges, at an accessible cost. This is largely attributed to the high development costs related to strict safety and reliability requirements. For a device to be commercially feasible, it must be accepted by third-party payers including the public and private health systems. Recent advances in miniaturisation methodologies have also contributed to the use of robots in ear, nose, and throat microsurgical procedures, which typically require submillimetric accuracy . Navio is a telerobot designed to assist surgeons with knee replacement surgery without requiring a CT scan to plan the surgery.