From chatbots and virtual assistants to intelligent robots, Artificial Intelligence has come a long way as years went by. Now, its influence can be seen in crucial industries, i.e., finance, agriculture, transportation, and healthcare. It’s the medical industry where AI and machine learning can offer more opportunities for significant improvement of human life. Keep on reading to learn more about the 3 most popular applications of AI in medicine that experts from Inside-Tech listed out for you.
Through Machine Learning algorithms, AI uses data to produce positive patient outcomes. A tremendous amount of information is needed to diagnose a patient correctly. Diagnostics is not a quick process and requires years of expertise. While human doctors are still the ones who make the call, AI can learn to see the patterns like they do and bring suspicious symptoms to their attention, making the whole process faster and more accessible.
Developing new medicine
Another expensive and time-consuming process is drug development. AI, through Machine Learning algorithms, can facilitate this process, potentially saving years of work and hundreds of millions in investments. AI proved to be useful in 4 main stages of drug development, i.e., identifying targets for intervention, discovering drug candidates, speeding up clinical trials, and finding biomarkers for diagnosing the disease.
Having access to digitalized medical records, AI can create a vast database that can facilitate predictive analytics across the entire population. Because of that, we could possibly shift from treatment after-the-fact to disease prevention. This might be the answer to the already constrained healthcare system, reducing costs for patients and the system itself.
Even though AI develops quickly, it’s unlikely that it will replace doctors anytime soon. However, it can undeniably speed up extremely tedious and time-consuming processes. In the field where sometimes every second makes a difference between life and death, the help of AI may be essential.