Artificial intelligence is no longer a remote dream that exists only in sci-fi movies, it is a common solution that people use in their everyday lives. From more standardized artificial intelligence solutions like Apple’s Siri to driverless cars, the possibilities for artificial intelligence today are almost endless. Artificial intelligence is set to have a huge impact on every industry in existence, and healthcare is no exception. With a wide variety of innovations being made today, the future of healthcare can be predicted by looking at the healthcare applications of AI.
Clinical Decision Support Platforms
According to medical market research, AI, advanced analytics, and the increased volume of patient care data make the possibility of clinical decision support platforms a strong possibility in the near future. Artificial intelligence and analytics solutions are already being used to improve clinical and operational processes. Using artificial intelligence combined with EHRs allows for improving decision-making and increased productivity rates.
Intelligent Robotic Surgeons
Advancements in cloud computing, big data analytics, and AI have hugely increased the possibilities for the use of robotics in all walks of life. Robotics has been used in surgery before, but it is still far from reaching its full potential. There are many companies that are working at the moment to develop intelligent surgical robots. Although robots in the operating room working alone still seem like a distant future, the possibilities and building blocks are being formed today.
Research has found that automation will likely only have a limited impact in the health care sector. In fact, findings show that only 35% of the time spent by health care workers has the potential for automation. However, that does not mean that there is not the potential for influence in other ways, such as personalization. For now, the trend for AI-enabled automation is not set to revolutionize the industry as much as it might do in other sectors.
Artificial intelligence is already being used for detecting diseases, which is having a big impact as computers are starting to assist in detecting patients at the very early stages of such diseases. Traditional technologies, like mammograms, have a 50% fault-negative rate; however, these inaccuracies are drastically reduced with the use of AI. Wearable technologies and medical devices are also already being used to detect early-stage heart disease and other potentially life-treating illnesses.
Artificial intelligence can help clinicians take a more comprehensive focus on disease management and more effectively organize care plans. This can have an impact on both long and short-term treatment plans.
Artificial intelligence has a big impact on training, allowing students to perform more realistic simulations. With a vast bank of medical data to draw from and increased response times, artificial intelligence has the potential to simulate very realistic doctor-patient interactions. A student will be able to access critical intelligence technology from anywhere, with the use of an artificial intelligence embedded smartphone. This makes it easier than ever for students to learn from any location.