AI makes healthcare smart
Some important developments related to artificial intelligence are taking place in the healthcare industry, where the need for more timely and accurate disease identification, improved support for clinical decision-making and orderly communication between physicians and their patients are driving many innovations.
The research teams are now working on tools based on artificial intelligence that can automate the identification of the patient’s stroke type as well as the location of the clot or bleed. This can help professionals to optimise the decision-making process regarding treatment that is appropriate for the patient´s needs.
The future of healthcare AI can range from basic to advanced activities. In the near future, this may include answering calls, analysing medical records, monitoring the health of the population and analysing analytics.
In addition, the development of drugs and devices, the reading of radiological images, the drafting of medical diagnosis, treatment plans and even communication with patients are all part of the AI’s improvement in 2019.
In 2019, Life ASAPA will introduce the CyberKnife system, which uses robotic hands to accurately treat cancer tumours in virtually any part of the human body. In addition, the system provides automatic tumour tracking and real-time motion control.
Also, medical artificial intelligence with image support will be able to identify 50 eye diseases that threaten the eyesight. Other AI will be able to identify markers of potential strokes, lung and liver spotty lesions and test children for autism using the iOS application.
Increasing progress in the use of AI blood tests
Blood tests are a standard diagnostic procedure, but it often takes time to get results. Various companies are working on ways to use AI to improve blood tests. The technological solutions they create can lead to faster conclusions and require less blood from patients.
For example, an Israeli startup wants to use AI for blood tests. Its system can give the results of a complete blood test (CBC) in just 10 minutes. Initially, the company tested its technology to detect malaria. But later it was decided to focus on the CBC for maximum impact, as this test is the most common in the world.
The trends mentioned here show why AI has so many potentially deserving applications in the healthcare sector. However, these are not the only achievements of artificial intelligence in medicine, and as improvements in technology become even more obvious.