Artificial Intelligence is getting pretty sophisticated at doing what humans do but more quickly, efficiently, and at a lower cost. The potential for both robotics and AI in healthcare is big. Just like in everyday lives, robotics and AI are a part of the healthcare system.
Many ways show how this positive transformation is underway. Here, I will present the most popular and used ones:
Artificial Intelligence is being used to find serious diseases, for example, cancers and tumors in their early stages. A high proportion of mammograms give false results, leading to 1-2 women being told they have cancer, according to the American Cancer Society. The use of AI and robotics are enabling review and translation of mammograms faster with 99% accuracy, avoiding the need for more biopsies.
The increase of consumer wearables and medical devices combined with Artificial Intelligence is also being used to oversee early-stage heart disease, allowing doctors and caregivers to monitor and detect life-threatening episodes at earlier and treatable stages.
2. Decision Making
Improving care requires the alignment of big data with timely and appropriate decisions. Predictive analytics can ease and support decision-making, as well as, clinical actions. It can also prioritize administrative tasks.
By using pattern recognition to find patients at risk of developing a certain condition is another area where robotics and AU are beginning to take hold in medicine and healthcare.
The path from the research lab to diagnosis is expensive and time-consuming. According to the California Biomedical Research Association, it takes around 12 years for a drug to travel from the lab to the patient.
Another research shows that only 5 in 5000 of the drugs that start preclinical testing make it to human testing and just one of these five is approved for human usage. On average, it will cost $359 million to develop a new drug from the starting or research stage to the patient.
Drug research and discovery is one of the many applications for robots and AI in medicine and healthcare. By directing the advances in Artificial Intelligence to simplify the drug discovery, as well as, drug repurposing processes there is a potential to cut both the costs and the time to market for new improved drugs.
IBM’s Watson for Health is helping healthcare organizations apply subjective technology to unlock bigger amounts of data and diagnosis. Watson can review and store more medical information including every medical journal, case study, symptoms, diagnosis, and treatments, as well as response around the world – faster than any human.
Google’s DeepMind Health is working together with researchers, clinicians, and patients to solve real-world and serious healthcare issues. The technology also includes machine learning to create general-purpose learning algorithms into neural networks that imitate the human brain.
Besides scanning health records to help doctors identify ill patients who may be at risk of having a serious disease, robots, and AI can help make a more effective approach for disease management, coordinated care plans, and help patients to comply with their treatment.
Robots have been used in healthcare for over 30 years. They range from simple to highly complex robots, from laboratory robots to surgical robots that can help a human surgeon or execute simple operations all by themselves. They are used in labs and hospitals for repetitive tasks, in physical therapy, rehabilitation, and support of those with long-term conditions.
6. End of Life Care
It is proven – we are living much longer than generations before us and as we approached the end of life, we are dying differently, from serious conditions like heart failure, dementia, and osteoporosis. It is also a phase of life that is usually plagued by loneliness.
AI and robots have the potential to change the end of life care, helping individuals to remain independent for longer. This significantly reduces the need for care homes and hospitalization. Artificial Intelligence combined with the improvements in humanoid design is helping robots to go one step further and have social interactions with people to keep aging minds acute.
Artificial Intelligence allows those in training to try naturalistic simulations in a way that computer-driven algorithms can’t. The ability of an AI-driven computer to draw on a large database of situations and scenarios means decisions from a trainee can challenge in a way that a human can’t. The training program can learn from previous responses, meaning that the challenges can be adjusted to meet their learning requirements and needs.
The best part? Training can be done anywhere. With the ultimate power of AI embedded on tablets and smartphones, catch up sessions while traveling is always possible.
8. Keeping Well
One of the robots’ and AI’s biggest benefits is to help people stay healthy so they don’t need medical help or at least not as often. The use of Internet of Medical Things (IoMT) and AI in consumer health applications are already doing so much.
Technology applications and apps encourage a healthier lifestyle and help with proactive management. It puts people in control of well-being and control.
AI increases the ability for healthcare providers to better understand the needs of the people they treat and care for and with that, they can provide guidance, better feedback, and support for staying healthy.
I guess robotics and AI will define medicine and healthcare. The time will tell what’s new and how our lives can be improved even more.
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