[ China Pharmaceutical Network Technology News ] Imagine if researchers can enter the drugs they want to make and the symptoms they want to treat, and then let the computer do the rest of the work. With robotics, this vision will become a reality one day. We hope that robots will become a common tool that can help improve patient care and surgical outcomes.
In the medical field, we are no stranger to robotics. Robot-assisted surgery is becoming more common. Many training programs have begun to include robotics and virtual reality scenarios to provide hands-on training for students while not putting patients at risk.
With advances in medical robotics, three of these medical fields are more prominent than Others: surgery, medical imaging, and drug discovery. How does robotics begin to influence these practices? How do they improve and improve?
Robotic assisted surgery
In 1985, the first robot-assisted surgery was recorded, when it was used for neurosurgery biopsy. This has led to the application of robotics to many similar procedures, including laparoscopic surgery and traditional surgery. Until 2000, when the Da Vinci surgical system appeared, the FDA (United States Food and Drug Administration) approved the use of robotic surgical tools.
The robotic assisted surgery market is expected to grow steadily until 2023 and is likely to expand further. The only thing that can hinder development is the cost of the equipment. The initial investment may prevent small companies from purchasing the necessary equipment.
Medical Imaging
The key to the success of medical imaging is not the device itself, but the ability to interpret the information in the image. Medical images are the most intensive part of the medical world, and they reveal more information than basic visual inspections.
Robotics, or more specifically, artificial intelligence programs like IBM? Watson can interpret these images more efficiently and accurately. By letting artificial intelligence or basic machine learning programs research medical images, researchers can find more accurate diagnostic methods than ever before.
Drug Discovery
Drug development is a long and tedious process that requires years of testing and evaluation. Artificial intelligence, machine learning and prediction algorithms can help speed up this system.
Imagine if the researchers were able to enter the drugs they wanted to make and the symptoms they wanted to treat, and then let the computer do the rest of the work. With robotics, this vision will become a reality one day.
This is not a perfect solution - these systems require a lot of data to start making decisions or predictions. By entering data into a cloud disk that these programs can access, researchers can take the first step toward building a functional database.
Another benefit of these artificial intelligence programs is that they may find certain connections that humans cannot think of. People can achieve this leap, but the possibilities are much lower, and if it does happen, it will take longer. In short, we can't handle the huge amount of data that a computer can handle.
Therefore, in this field, it is not the robot that steals our work.
In fact, the opposite is true. We hope that robots will become a common tool that can help improve patient care and surgical outcomes.
A human surgeon may have an intuitive judgment, but they will never have the stability that a robotic arm can provide, or the data processing power of a machine learning algorithm. If we allow these smart tools to enter the medical field, then these tools may change the way we look at medicine.
Original title:! Surgery, imaging and drug discovery AI already well versed in the medical field are selected from:? SingularityHub Author: KAYLA MATTHEWS compile: NetEase see foreign intelligence platform compiler revision: Simone
(Artificial intelligence + medical robots and humans "grab the rice bowl"?)
In the medical field, we are no stranger to robotics. Robot-assisted surgery is becoming more common. Many training programs have begun to include robotics and virtual reality scenarios to provide hands-on training for students while not putting patients at risk.
With advances in medical robotics, three of these medical fields are more prominent than Others: surgery, medical imaging, and drug discovery. How does robotics begin to influence these practices? How do they improve and improve?
Robotic assisted surgery
In 1985, the first robot-assisted surgery was recorded, when it was used for neurosurgery biopsy. This has led to the application of robotics to many similar procedures, including laparoscopic surgery and traditional surgery. Until 2000, when the Da Vinci surgical system appeared, the FDA (United States Food and Drug Administration) approved the use of robotic surgical tools.
The robotic assisted surgery market is expected to grow steadily until 2023 and is likely to expand further. The only thing that can hinder development is the cost of the equipment. The initial investment may prevent small companies from purchasing the necessary equipment.
Medical Imaging
The key to the success of medical imaging is not the device itself, but the ability to interpret the information in the image. Medical images are the most intensive part of the medical world, and they reveal more information than basic visual inspections.
Robotics, or more specifically, artificial intelligence programs like IBM? Watson can interpret these images more efficiently and accurately. By letting artificial intelligence or basic machine learning programs research medical images, researchers can find more accurate diagnostic methods than ever before.
Drug Discovery
Drug development is a long and tedious process that requires years of testing and evaluation. Artificial intelligence, machine learning and prediction algorithms can help speed up this system.
Imagine if the researchers were able to enter the drugs they wanted to make and the symptoms they wanted to treat, and then let the computer do the rest of the work. With robotics, this vision will become a reality one day.
This is not a perfect solution - these systems require a lot of data to start making decisions or predictions. By entering data into a cloud disk that these programs can access, researchers can take the first step toward building a functional database.
Another benefit of these artificial intelligence programs is that they may find certain connections that humans cannot think of. People can achieve this leap, but the possibilities are much lower, and if it does happen, it will take longer. In short, we can't handle the huge amount of data that a computer can handle.
Therefore, in this field, it is not the robot that steals our work.
In fact, the opposite is true. We hope that robots will become a common tool that can help improve patient care and surgical outcomes.
A human surgeon may have an intuitive judgment, but they will never have the stability that a robotic arm can provide, or the data processing power of a machine learning algorithm. If we allow these smart tools to enter the medical field, then these tools may change the way we look at medicine.
Original title:! Surgery, imaging and drug discovery AI already well versed in the medical field are selected from:? SingularityHub Author: KAYLA MATTHEWS compile: NetEase see foreign intelligence platform compiler revision: Simone
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