Covid-19 has changed orthodoxies in the global healthcare industry and pushed many health professionals to adopt a digitized health landscape.
Artificial intelligence (AI) is one such technology that has the potential to change significantly the field of healthcare in the post-pandemic world. According to Accenture, the size of the AI health market had grown more than 10 times, from $600M in 2014 to $6,6B in 2021.
While augmenting human activity, AI makes healthcare more efficient. It can improve the quality of medical services, enable fast and timely disease diagnosis, and reduce healthcare costs. In addition, AI helps transform medical products and services to better engage with consumers.
6 Applications of AI in the Healthcare
By performing the tasks that are typically done by humans, but at a lower cost and in a shorter time, AI simplifies the work of doctors and the hospital experience of patients. Here are 6 major domains of AI application in the healthcare:
- Predictive medicine. Estimation of the probability of future diseases and advance selection of optimal effective therapy to minimize undesirable side effects.
- Precision medicine. Personalized disease treatment and prevention that considers an individual's variability in genes, environment, and lifestyle.
- Preventive medicine. Anticipation of epidemics, prevention of chronic diseases, and pharmacovigilance.
- Decision support. Data-based decision-making for diagnosis and therapy.
- Companion robots. Creation of real or apparent companionships for human beings, especially the elderly and fragile children.
- Computer-assisted surgery. Integration of robotically assisted surgical (RAS) devices for pre-operative planning, surgical navigation and assistance in performing surgical procedures.