AI has revolutionized over the decades. Can you believe in 1997, AI launched IBM’s Deep Blue? This was a chess-playing computer game that defeated the world chess champion and grandmaster Gary Kasparov. How about Kismet? Dr. Cynthia Breazeal ( Massachusetts Institute of Technology (MIT)), developed a robot with a human-like face that recognized and simulated emotions. What about ASIMO (Advanced Step in Innovative Mobility)? This was another machine created the same year as Kismet, in 2000.
This was the fascinating result of Honda’s dream of a walking robot with wireless movements. Undoubtedly, these renowned landmark goals revolutionized artificial intelligence and skyrocketed in the 1990s and 2000s. However, there’s more to AI as it has revolutionized healthcare with diagnosis and treatments.
Artificial intelligence has flourished in the healthcare field. The implementation of Machine learning (neural networks and deep learning), Natural language processing, and surgical robots has accelerated the process.
For example, Jvion, a Healthcare and Clinical AI Platform, has developed the Cognitive Clinical Success Machine. This machine will provide health specialists the ability to visualize the future condition of risk and target illnesses. The machine functions with hundreds of thousands of self-learning Eigen Spheres. It does simple predictive analytics to identify hidden diseases. This technology will lessen health risks and will improve health overall. Therefore, technology has revolutionized healthcare by providing diagnosis.
Google’s Implementation of AI in Healthcare
Another leading AI giant in the healthcare field is Google. As technology continues to skyrocket each day, Google has partnered with healthcare organizations to enable new AI tools to improve the quality of life. For instance, a tool was designed to diagnose skin disease using DermAssist. This is a Google app that with a simple picture of your skin, can provide personalized information about any skin concerns. Secondly, Google has also used AI to develop a diabetic retinopathy screening solution. The development of the AI application called ARDA (Automated Retinal Disease Assessment).
On the other hand, this tool will help doctors in countries such as India and Thailand to expand diabetic retinopathy screening programs that lack eye specialists. This technological advancement will prevent the leading cause of blindness in many patients.
The University of Florida recently celebrated its rewarding $2.8 million five-year grant. With these means, they can investigate how AI can improve kidney transplant outcomes. The National Institutes of Health provides funding to the departments of surgery, medicine, and health outcomes & biomedical informatics. Several advantages will surge as AI tools emerge.
For instance, healthcare specialists will have the possibility to diagnose and predict future problems with kidney transplants and reduce transplant rejections by building autonomous models. Furthermore, this tool would assess kidney biopsies and quantify chronic injuries or problems in donor kidneys. Pinaki Sarder, Ph.D. will collaborate with researchers at the University of California, the University of California, San Franciso, John Hopkins University, and the University of Coimbra in Portugal.
Researchers have only scraped the surface of the infinite offered by technological advancement. Specific tools implement deep learning to quantify hemoglobin levels and detect hidden signs of anemia. How? This technology can provide photographs of the back of the eye and improve breast cancer screening and radiotherapy treatment for cancer.
On October 10, 2023, the Vision, Alignment, Learning, Implementation, and Dissemination of Validated Generative AI (VALID AI) was founded by a group of 30 partners. They collaborated on investigating artificial intelligence to optimize medical research and clinical care. Within these means, research and collaborative investigations will take the lead. Primarily, they will bring together healthcare providers, payers, nonprofit organizations, and technology stakeholders. This will accelerate the implementation of generative AI tools. Essentially, technology in healthcare organizations will provide better health monitoring and preventive care, as physicians will provide health monitoring and preventive care.
Without a doubt, technology has revolutionized healthcare. As a result, diagnosis will reduce human error, assist medical professionals, and provide tools to diagnose medical problems and develop treatment plans. Many agree that AI will bring back the face-to-face professional care patients desire and have longed for.
Regarding this topic, you can check our post about manikin robots and their impact on health, here.