AI and robotics are two of the most futuristic technologies that the world is utilizing now. Implementing these two technologies can lead to breakthroughs in a variety of industries, including healthcare.
But in contrast to other industries, healthcare is not easily manageable. Traditional medicine, medical personnel, diseases, patients, behaviors, and systematic concerns are just a few of the many challenges that the industry faces today. It is not an easy effort to bring innovations and emerging technologies to handle these issues.
Artificial Intelligence (AI) and robotics may be able to fill up the gaps. You can see the staggering statistics, such as an aging population putting pressure on healthcare systems. As a result, there aren't enough individuals working in adult social care to offer the amount of care that patients require. From genetic testing to robotic surgery to cancer research and data collection, AI and robotics are advancing the healthcare business. For example, in dermatology AI is already being applied in practice, with medical practitioners using an experimental mobile version to identify skin cancer.
We've highlighted more examples of how robotics and AI are revolutionizing the healthcare and medical sector in this blog.
Robotics in Healthcare:
Robotic technology is applied in several scenarios that have a direct influence on patient care. They may be used to sterilize patient rooms and operating rooms, reducing infection risks for both patients and medical personnel. They gather samples, transport them, analyze them, and store them in laboratories.
Robots in the medical field provide high-quality patient care, efficient clinical procedures, and a secure environment for patients and healthcare workers. Down below are a few instances of how robotics is helping to improve the healthcare business.
- Superior Patient Care: Medical robots help with minimally invasive treatments, personalized and frequent monitoring for chronic disease patients, intelligent therapies, and social interaction for the elderly. Furthermore, because robots reduce workloads, nurses and other caregivers may provide more empathy and personal interaction with patients, which can improve long-term health.
- Robotic Surgical Assistance: Surgical-assistance robots have gotten more precise as motion control technologies have progressed. With AI and computer vision capabilities, these robots enable surgeons to attain unprecedented levels of speed and accuracy while executing challenging surgeries. Some surgical robots may even be capable of performing tasks on their own, allowing physicians to supervise procedures from a console. Robotics is very important in surgeon education. Surgical robotics training is provided through simulation systems that combine artificial intelligence and virtual reality. Surgeons can practice procedures and build skills in a virtual environment using robotics controls.
- Automated Mobile Robots: AMRs are frequently used by healthcare organizations because of their capacity to help with key needs including disinfection, telepresence, and transportation of medication and medical supplies, all while allowing personnel to spend more time with patients. AMRs can self-navigate to patients in examination or hospital rooms when equipped with light detection and ranging (LiDAR) devices, visual computing, or mapping capabilities, allowing doctors to interact from distance. If an AMR is managed by a remote specialist or other workers, it can accompany doctors on their rounds in the hospital, allowing a specialist to contribute via an on-screen consultation about patient diagnosis and care.
- Service Robots: By addressing mundane logistical chores, service robots ease the daily stress on healthcare professionals. Many of these robots are self-contained and can generate reports after completing a task. Set up patient rooms, manage supplies and file purchase orders, replenish medical supply cabinets, and move bed linens to and from washing facilities are all handled by these robots. Having service robots execute some regular activities frees up healthcare professionals to focus on acute patient needs, which can improve job satisfaction.
AI in Healthcare:
Traditional analytics and clinical decision-making methodologies have a variety of disadvantages. As learning algorithms interact with training data, they can become more exact and accurate, giving people unparalleled insights into diagnostics, care processes, treatment variability, and patient outcomes. AI in healthcare is taking over such challenges.
- Mind and Machine unification: By no means we are using computers to communicate a novel concept, but developing direct connections between technology and the human mind without the use of keyboards, or monitors is a cutting-edge field of research with substantial implications for some patients. Some patients' abilities to speak, move, and interact meaningfully with others and their settings might be taken away by neurological illnesses and nervous system injuries. Artificial intelligence-assisted brain-computer interfaces (BCIs) may be able to restore such essential experiences to those who worry they will be lost forever.
- Expanding healthcare services for the underprivileged: In underdeveloped countries around the world, shortages of qualified healthcare providers, such as ultrasound technologists and radiologists, can severely limit access to life-saving care. The half-dozen hospitals that line Boston's renowned Longwood Avenue employ more radiologists than all of West Africa, indeed a worrying situation. Artificial intelligence may be able to assist minimize the effects of the significant shortage of skilled clinical personnel by taking over some of the diagnostic tasks that are normally performed by humans. AI imaging techniques, for example, can scan chest x-rays for symptoms of tuberculosis, frequently with accuracy comparable to people. This capability could be made available to providers in low-resource locations via an app, decreasing the need for a trained person.
- Wearable devices for personal health monitoring: Almost every customer now has access to devices with sensors that can collect useful health information. A growing amount of health-related data is created, from cellphones with step trackers to wearables that can detect a heartbeat around the clock. Collecting and analyzing this data, as well as complementing it with information from patients via apps and other home monitoring devices, can provide a unique perspective on individual and population health. Artificial intelligence will be critical in extracting useful information from this huge and varied data source.
- Using AI for clinical decision-making: As the healthcare business moves away from fee-for-service, it is moving away from reactive treatment as well. Every physician wants to be ahead of chronic diseases, expensive acute events, and unexpected deterioration, and reimbursement mechanisms are finally allowing them to build the processes that will allow proactive predictive interventions. Predictive analytics and clinical decision support technologies that alert doctors to problems long before they would otherwise realize the need to intervene will be powered by artificial intelligence, which will offer much of the underpinning for that evolution. For illnesses like seizures or sepsis, AI can provide earlier warnings, which sometimes require intense analysis of large datasets.
AI and Robotics in Healthcare: What the Future Holds
Many academicians agree that AI and robotics have a bright future. AI or robots are not likely to take over the healthcare industry very soon but will ensure 100 percent accuracy in the total process and human participation and oversight would still be required. Patients are also known to form closer bonds with their doctors, nurses, and other medical personnel. This particular relationship offers patients the impression that they are not alone. Machines or robots will never be able to reproduce this sensation. As a result, people will always be there alongside AI and robotics to treat patients and provide a pleasant and comforting experience.
Furthermore, AI and robotics are expected to thrive in the coming years. Artificial Intelligence and robots provide healthcare benefits that are unrivaled by what we might do manually.