Artificial intelligence (AI) has already established a dominant disruption in transportation, marketing and financial services, among other divisions. In the realm of healthcare, AI is gaining momentum and has the potential to considerably change the industry, from the exam room to the back office to the supply chain.
The concept of AI is no longer a sci-fi theory. Machines and computer networks are developing algorithms and adapting to the concept of self-learning from these systems.
This next level generation of technology is still in the preliminary stages of development; but the advancements of artificial intelligence will occur every day and will begin to develop significantly quicker as technologies become readily available. The challenge of implementing this new advancement arises when technology and intelligence introduce a transforming solution into an already existing healthcare system, that has established and productive flows in place.
How will healthcare and artificial intelligence work together?
The healthcare industry will develop an immediate and measurable impact with AI. Healthcare practitioners will immediately see an increase in the quality of image based diagnostics, as well as a decrease in the cost of these services.
Smart algorithm solutions will evoke evidence-based approaches programmed by researchers and clinicians. When practitioners insert known statistics into algorithms, computers can extract information and relate it to a problem.
Take a treatment against cancer, for example.
“Using consensus algorithms from experts in the field, along with the data that oncologists enter into a medical record (i.e., a patient’s age, genetics, cancer staging and associated medical problems), a computer can review dozens, sometimes hundreds, of established treatment alternatives and recommend the most appropriate combination of chemotherapy drugs for a patient.”
Visual aspects of the artificial intelligence can add more dependability to a physician’s diagnosis with the help of pattern recognition systems in medical care facilities. Visual recognition software has the capability to store and compare images across the spectrum of diseases and care techniques, to develop an accurate diagnosis in partnership with the working physician.
Through the use of virtual, proactive care; traditional healthcare settings will be expanded to adapt with the patient-centric venues that will be enabled by the algorithms, which will be predictive and have the ability to alert physicians of potential changes in health status.
With clinical trials consistently remaining effective in the field of healthcare, AI algorithms will help facilities funnel in ideal clinical participants. With pre-clinical target client identification, healthcare administration will also save money due to less trials being conducted.
The future of AI in healthcare
Looking ahead, the future of artificial intelligence is promising. The stages of development for this new technology are very much in the beginning phases, but the outlook for advanced programming and development is what sets this technology apart from the rest in healthcare.
The chance for success is extremely high, and the individuals in charge are continuously developing, innovating, and creating new solutions for some of the most advanced questions relating to AI software.
