How does AI change the future of healthcare?
As we all know, due to the digital revolution, digital technology has freed doctors, nurses and researchers, and health care workers can focus more on higher-level cognitive tasks and patient care, and the use of artificial intelligence is bound to Take it to the next level.
As artificial intelligence technology continues to advance, it is expected to enhance human thinking in three key areas: advanced computing, statistical analysis, and hypothesis generation. These three areas correspond to the three wave of AI development process, taking the medical field as an example:
The first wave of AI: assessing the risk of heart disease
The first wave of AI found efficient solutions to real-world problems in “knowledge engineering†technology and optimization software, such as scheduling platforms that improve efficiency or Internet-based tax filing products.
The first wave of AI technology has been applied to the medical community in some ways. For example, the Framingham Risk Score Calculator uses AI to assess a patient's risk of heart disease. However, there are now many opportunities to expand the range of applications of this technology in the medical industry .
Second wave of AI: clinical decision support system, etc.
The second wave of AI waves is characterized by machine learning software that uses statistical probability analysis for advanced pattern recognition. Compared to the first wave of AI, the second wave of AI has the ability to sense and learn, sometimes better than humans.
This evolving pattern recognition technology has been applied to the "Clinical Decision Support System" in the medical field and other software for analyzing and evaluating genetic test results, retinal scans and echocardiography, but there is still room for improvement: these software still Human assessment cannot be completely replaced because their ability to interpret data in depth is not comparable to humans.
The second wave of AI technology relies on clean, reasonably coded data sets to learn. So while learning and perception have reached a very good level, the ability to get a clean or comprehensive data set is still limited.
The third wave of AI: medical research
The world is entering the third wave of AI: software normalizes the context of various data to generate new hypotheses. These techniques are capable of examining large data sets, identifying statistical patterns, and creating algorithms to interpret patterns.
The great potential of the third wave of AI is the ability to increase the amount of data that is reasonably analyzed. These software normalize the context of individual data points to identify links between previously unrelated data points. In this way, new assumptions can be generated and tested simultaneously in a variety of medical scenarios.
Take medical companies like Johnson & Johnson, they have begun to invest in advanced AI software to gain a competitive advantage. This type of technology has led to major scientific discoveries, including the link between fish oil and Raynaud's disease.
The third wave of AI is changing the rules of the game because it promises to automate any repetitive manual tasks. It can learn and interpret complex statistical patterns, and it can teach humans what it has learned. There is still a way to go before this technology can fully function, but the potential is huge.
Future AI: Freeing doctors to get more people to get high quality and efficient medical services
Even with the third wave of AI, computers are unlikely to replace the doctor's diagnostic role in the near future. For example, the limitations of AI software are still too strong and are limited to assessing wound infections through a combination of symptomatic symptoms such as heat, color, odor, degree of pain, and pus.
However, AI is now advanced enough to automate many of the tedious repetitive tasks that doctors handle. For example, it can shorten the time required to analyze bacterial specimens and recommend appropriate antibiotic prescription drugs. This gives doctors more time and energy to perform higher-level tasks such as patient education and clinical evaluation.
The potential applications of AI technology in the medical community are very broad and exciting. Medical services are exploring the use of AI software for insurance verification, skin cancer diagnosis, test result analysis, and medical record data analysis. We are only now beginning to explore the depth of medical innovation, and the ever-evolving AI technology is expected to create conditions for this.
As AI applications become more integrated with the medical community, more and more people will receive high-quality, high-efficiency medical services. (Dr. Gunjan Bhardwaj)
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