The systems developed in the field of health thanks to Al (Artificial Intelligence) and IoT (Internet of Things) aim to facilitate diagnosis and treatment. Increased interest in these devices and systems also leads to a focus on security issues and competence issues.
This week, a security warning from the US Food and Drug Administration, Microsoft's new collaboration and the use of artificial intelligence in health suggests that recent research is overrated.
Although there is no serious problem in digital health , the US Food and Drug Administration (FDA) occasionally informs the public about cyber security vulnerabilities that may pose risks to certain medical devices and hospital networks. Within the scope of these notifications, the FDA issued a new statement after a security company identified the vulnerability "URGENT / 11".
According to the description; this safety issue can cause remote control or change of function of the medical device used. Authorities indicating that this vulnerability exists in IPnet, a third-party software component that supports networking between computers. He warns that necessary measures should be taken.
Collaborations increase
UK National HealthCenter Artificial intelligence and intelligent assistants will ease the intensity of doctors, the report on the recent digital health structuring that Eric Topol has prepared. In addition, the voice assistants we use can help manage chronic conditions such as diabetes, depression and blood pressure.
According to the study, where 90 percent of the health system will be digitized in about 20 years, it is pointed out that genetic factors can be examined in detail, patient follow-up will be facilitated by assistants and other IoT devices, and it will be more personalized by making drugs easier to produce. A new development in this area was also experienced by Microsoft. The company announced its agreement with a pharmaceutical company from its website. World giant companies within the scope of cooperation,
Although the pace of technological advances in health points to a very different future, a new study has been published that states that we are at the very beginning of the studies on AI and that many studies are not reliable. A comprehensive review of the scientific literature led by the University of Birmingham and University Hospitals suggests that there are very few reliable researches on the use of artificial intelligence in health.
The study, which stated that many researches to date were biased in favor of machine learning, was published in the scientific Lancet Magazine on September 25th. The study examines over 20,000 articles comparing medical imaging, deep learning in the detection of diseases and the performance of health workers with artificial intelligence. As a result, less than one percent of them can be considered “reliable enough.
Another point that draws attention is that all these researches conducted between 2012 and 2019 tend to over-praise the capability of computer algorithms when comparing the skills of artificial intelligence and human health experts. However, in contrast to the fact that AI is described as better than health care workers in diagnosis, AI ' Medical imaging can detect diseases with the same level of accuracy as health professionals. These data can be interpreted as an indication that there is more way to go in order to create reliable systems in artificial intelligence and health.
Read more
This week, a security warning from the US Food and Drug Administration, Microsoft's new collaboration and the use of artificial intelligence in health suggests that recent research is overrated.
Although there is no serious problem in digital health , the US Food and Drug Administration (FDA) occasionally informs the public about cyber security vulnerabilities that may pose risks to certain medical devices and hospital networks. Within the scope of these notifications, the FDA issued a new statement after a security company identified the vulnerability "URGENT / 11".
According to the description; this safety issue can cause remote control or change of function of the medical device used. Authorities indicating that this vulnerability exists in IPnet, a third-party software component that supports networking between computers. He warns that necessary measures should be taken.
Collaborations increase
UK National HealthCenter Artificial intelligence and intelligent assistants will ease the intensity of doctors, the report on the recent digital health structuring that Eric Topol has prepared. In addition, the voice assistants we use can help manage chronic conditions such as diabetes, depression and blood pressure.
According to the study, where 90 percent of the health system will be digitized in about 20 years, it is pointed out that genetic factors can be examined in detail, patient follow-up will be facilitated by assistants and other IoT devices, and it will be more personalized by making drugs easier to produce. A new development in this area was also experienced by Microsoft. The company announced its agreement with a pharmaceutical company from its website. World giant companies within the scope of cooperation,
Although the pace of technological advances in health points to a very different future, a new study has been published that states that we are at the very beginning of the studies on AI and that many studies are not reliable. A comprehensive review of the scientific literature led by the University of Birmingham and University Hospitals suggests that there are very few reliable researches on the use of artificial intelligence in health.
The study, which stated that many researches to date were biased in favor of machine learning, was published in the scientific Lancet Magazine on September 25th. The study examines over 20,000 articles comparing medical imaging, deep learning in the detection of diseases and the performance of health workers with artificial intelligence. As a result, less than one percent of them can be considered “reliable enough.
Another point that draws attention is that all these researches conducted between 2012 and 2019 tend to over-praise the capability of computer algorithms when comparing the skills of artificial intelligence and human health experts. However, in contrast to the fact that AI is described as better than health care workers in diagnosis, AI ' Medical imaging can detect diseases with the same level of accuracy as health professionals. These data can be interpreted as an indication that there is more way to go in order to create reliable systems in artificial intelligence and health.
Read more
