The repercussions of crippled healthcare are severe. In addition, the emerging cases of health casualties due to pollution, pandemic outbreaks are becoming recurrent. Such a present condition demands optimization and advancements of healthcare a necessity.
A significant time before, the proposal of incorporating tech advancements and innovations in the medical field has reflected a significant optimism. The amalgamation of tech innovations such as Telemedicine, health care apps, Artificial intelligence incorporated gadgets and software, and new machine learning principles have all been the focus of research. Fortunately, today, the medical field has seen some successful integrations of artificial intelligence and medical science that can fuel the human race’s well-being.
The principles of AI are well-implemented and explored in the medical field. It propounds some incredible applications that can elevate healthcare facilities to another level. Let’s dig deep into Artificial Intelligence’s application in the world of medicine.
AI bracing medical Research
Every day, new medical research is perpetuated. To find robust findings and firm solutions to medical problems, drugs, etc. a careful study on massive sample size is done to cover extremes of the medical situations. During this, hefty data is generated that needs to be evaluated, sorted, studied, and analyzed.
Manual interpretation of data can be cumbersome and time-consuming. AI on the other hand, with the aid of deep learning can run rounds and rounds of interpretation and analysis on data that too in minutes. This can highlight some critical data findings which otherwise could get unexplored. These new findings can help developing drugs, gathering medical facilities, help in forecasting future medical conditions, and whatnot!
Drug development with AI
The conventional drug development process consisted of several steps and took years and years of research without any confirmation and affirmation of an efficient drug. This exploited resources and time of research professionals. AI on the other hand can bridge this and can assist in the rapid development of drugs.
This can be done via analyzing early symptoms of diseases and establishing some critical data connections amidst small size to large sized samples. AI, in this way, can increase drug efficiency by facilitating drug discovery in the early stages of medical conditions thereby saving time and effort.
AI facilitating the process of disease diagnosis and treatment
This is one of the most useful and practical areas of AI’s involvement in medicine. The use of AI algorithms in the detection of critical diseases such as cancers, eye diseases, tumors has been discovered soundly. The AI’s capability in diagnosing a disease can save millions and millions of costs. Apart from mitigating the costs, it saves a number of lives as the detection of diseases during the early stages can aid in implementing treatment processes.
Not only diagnosis, but It can also assist in finding appropriate treatment methods for diseases. Specific AI algorithms can trace the widely available drugs and can then map their mode of action with the disease’s underlying symptoms. In this way, it can help in developing a treatment for diseases at the right moment thereby saving lives, costs, and time.
Implementation of robotics and Artificial intelligence in surgeries can elevate accuracy and precision. Medical science is complicated and so are critical surgeries. A mere inaccuracy or carelessness in surgical processes can cost a patient a life. Specific AI algorithms equipped robots have been widely seen as the best alternatives for carrying out error-free, and stable surgical procedures.
This field is under extensive research and propounds some optimistic endeavors. We hope to see the elevation in AI-driven surgeries by the end of 2025.
AI giving hopes for stabilized future healthcare
AI is unstoppable. Even after the implementation of some unbelievable principles into daily lives, AI still has dimensions completely unexplored. The medical field is experiencing the need for new inventions and advancements. In such a scenario, AI can become an optimistic companion.
The development of telemedicine apps to serve patients with quick opinions of healthcare officials, the implementations of virtual reality assisting in developing one-to-one doctors assistance, the development of AI-enabled gadgets to monitor health vitals, etc. all are fueling the hopes of a better and stable medical healthcare system.
Ankita Sinha, Co- Founder & CTO, Gravitas AI