Technological developments drive industries forward, and we are on the verge of another revolution that could alter our lives forever. The global introduction of machine learning to the medical field will benefit both clinical professionals and patients and improve healthcare quality.
Thanks to rapid advances in computer science and informatics, the application of machine learning and Artificial Intelligence is growing in importance, especially in developed countries. AI algorithms are being developed and used to support medical personnel in research and clinical environments by implementing machine learning models to search medical data and uncover insights to help improve therapy and patient experiences.
Image analysis and clinical support systems are the most popular (and viable) applications of AI in healthcare. In medical imaging, AI tools are being used to analyze different medical images (MRIs, CTs, X-Rays, etc.) and help medical professionals interpret the data.
On the other end, decision support systems help gather all available medical data and interpret and offer possible conclusions to aid clinicians in planning the therapy. Other possible AI solutions are tested and developed to improve disease detection, personalized treatment, diagnoses, drug development, and the efficiency of clinical trials.
While research into AI and its applications is considered the domain of the tech giants, we can observe the continuous evolution and growth of the sector, which started to attract big pharma players. The number of deals and patents (both) doubled between 2019 and 2021, and their value went through the roof.
AI in medicine is a challenging field but also one that shows impressive potential to improve healthcare globally.