The article goes to the doctor, diagnosis: Algorithm disorders first appeared at the online magazine Basic Thinking. You can start the day well every morning via our newsletter update.
AI tools can relieve doctors and give them more time for examinations and treatments. According to a current study, many patients are skeptical about artificial intelligence in medical practices – even if they only take on administrative tasks. Problems are also revealed in the diagnosis.
Background: Skepticism towards AI in medical practices
- Loud study The Julius Maximilians University in Würzburg and the Charité Berlin Institute for Medical Computer Science has the potential to improve health care. But many people doubts about the competence of AIespecially with regard to medical questions. This skepticism not only affects AI itself, but also doctors who use them.
- One study From Poland in turn showed that doctors who work with AI during cancer examinations clearly after a few months are more unreliable than before. The researchers found a similar effect for colonoscopies. The reason: doctors would get used to AI too quickly and rely on them. The researchers advise you to “carefully check the consequences of the introduction of AI”.
- AI is supposed to improve the health system. But Cyber attacks can endanger patient safety, medical devices and the work of rescue workers. As part of the project “SecureEuroai“As a result, researchers from the University of Bonn want to develop safe and AI-supported methods for real-time detection of medical emergencies.
Classification: AI as a doctor
Ki has the potential that to relieve overloaded health system in Germany. But for many such a progress looks like a foreign body. Because technology that is supposed to relieve can lead to alienation between doctor and patient.
One of the most paradoxical problems in the AI age: the smarter the machine, the more fums their users. Because when doctors rust diagnostically because algorithms take over, Medicine loses credibility.
AI is also common advertised as a miracle cure. But if you use digital systems, you also have to deal with your weaknesses. Manipulated health data are not a science fiction, but a real risk.
On the one hand, medical practices run the risk of transforming themselves into factories. On the other hand, AI also harbors the potential that Medicine to make more human. Especially if she takes on administrative tasks and doctors give more time for patients.
Voices
- The study authors from Würzburg and Berlin conclude: “If doctors inform their patients about the use of AI, they should aim to clear up potential concerns and to emphasize possible advantages. For example, the use of AI for administrative purposes could help doctors have more time for the personal care of their patients.”
- Michael Meier, professor at the Institute for Computer Science at the University of Bonn and head of the working group “IT security”primarily points to the Diagnosis risks There: “From studies on cyber security we know that networked medical devices themselves, but in particular the accompanying infrastructures, have weaknesses that can enable unnoticed manipulation of sensor data.”
- Karl Max Einhäupl, former chairman of the Science Council and ex-boss of the Charité,, replied: “The chances of AI are significantly greater than the risks – if we manage to bring both in balance. We need data protection. But you can afford too comprehensive data protection if you are healthy. Serious ill people will wish that there are enough data from which the best treatment can be derived.”
Outlook: artificial intelligence in the health system
AI will be in the coming years People deeper into the heart of medicine – whether you want or not. It is therefore not the question of the OB, but how the integration of artificial intelligence in the health system succeeds.
In order to ensure the foundation stone for reliable and safe care, a balanced Balance between automation and medical intuition. This includes strict security standards, continuous AI training and clear responsibilities.
In addition to the technical implementation, it also requires Education of the patient. If all of this succeeds, the medicine of the future could be more personalized than ever – provided that data protection from the data desert and technology trust in the technical hearing of technology will be prevented.
One of the biggest remedies could not be a new medication or a new therapy, but that Bring art human and machine togetherso that they complement each other instead of replacing each other.
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The article goes to the doctor, diagnosis: algorithm disorders first appeared on basic thinking. Follow us too Google News and Flipboard Or subscribe to our update newsletter.
As a Tech Industry expert, I believe that the concept of algorithm disorders is an interesting and potentially concerning development in the intersection of technology and healthcare. Algorithms play an increasingly important role in diagnosing and treating various medical conditions, but they are not without their limitations and potential pitfalls.
It is crucial for healthcare professionals to be aware of the limitations of algorithms and to use them as tools rather than relying blindly on their recommendations. Additionally, it is important for developers and designers of healthcare algorithms to prioritize accuracy, transparency, and ethical considerations in their work.
Algorithm disorders highlight the need for ongoing research, education, and collaboration between healthcare professionals and technologists to ensure that algorithms are used responsibly and effectively in diagnosing and treating medical conditions. Ultimately, the goal should be to harness the power of algorithms to improve healthcare outcomes while minimizing the risk of algorithm disorders and other potential negative consequences.
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