IA in Health: Risks of the Automatic Diagnostics
The artificial intelligence has revolutionised multiple sectors, included the one of the health. However, his unsuitable use can generate grave consequences when it treats of diagnostics, treatments and medical councils. It is fundamental to know the risks associated and the necessary preventive measures.
The Main Risks of the IA in Health
The undue use of systems of artificial intelligence in the sanitary field presents several significant dangers that we have to know to avert situations potentially dangerous.
Erroneous and Dud diagnostics Positive
The algorithms of IA can generate wrong diagnostics basing in incomplete data or patterns no representative. A dud positive can spend to unnecessary treatments and emotional stress, whereas a dud negative could delay the treatment of a serious condition.
The systems of IA learn of big sets of data, but if these data contain biases or do not represent adequately some demographic groups, the results can be inaccurate for specific populations.
Dangerous automedication
A lot of applications and chatbots of health offer recommendations of treatment without considering the complete medical record of the user. This can spend to interactions medicamentosas dangerous or to the inappropriate use of drugs.
The automedication based in suggestions of IA can mask symptoms of grave conditions that require immediate medical attention, delaying the diagnostic and suitable treatment.
Lacking of Clinical Context
The IA carece of the clinical trial and the necessary human experience to interpret symptoms in the complete context of the medical history of the patient. The algorithms can not consider emotional factors, social or environmental that can be crucial for a precise diagnostic.
Cases Documented of Errors of IA in Health
Diverse studios have documented fail significant in systems of IA medical. For example, some algorithms of diagnostic by image have showed taxes of upper error to 20% in some types of analysis, especially when they confront to atypical cases or little common.
The systems of IA also have showed problematic biases, as minor precision in the diagnostic of some conditions in women or ethnic minorities, perpetuating existent disparities in the sanitary attention.
Problems of Legal Responsibility
When a system of IA provides wrong medical information, arises the question of who is responsible: the developer of the software, the provider of health that uses it, or the user that followed the recommendations?
This legal ambiguity can complicate the obtaining of compensation in cases of bad praxis related with IA and create empty in the protection of the patient.
How Protect of the Risks of the IA Medical
Exist several strategies that the users can implement to minimise the risks associated with the use of artificial intelligence in subjects of health.
Verification with Medical Professionals
The most important rule is never substitute the professional medical surgery by the recommendations of a IA. It uses the technology like a tool of preliminary information, but always confirms any diagnostic or treatment with a qualified doctor.
If an application of IA suggests a worrisome medical condition, program a date with your doctor to obtain a complete professional evaluation that consider your medical record and individual factors.
Critical evaluation of the Sources
Researches the credibility of the applications and platforms of IA medical that use. It looks for tools developed by medical institutions recognised or that have the supervision of professionals of the health.
Desconfía Of applications that promise definite diagnostics or that recommend specific treatments without requiring professional medical surgery.
Transparency in the Algorithm
Prefers systems that are transparent on his limitations and that indicate clearly when it needs professional medical attention. The good tools of IA medical always include appropriate disclaimers.
Better Practical for the Responsible Use
For maximizar the profits and minimise the risks of the IA in health, is important to follow some guidelines of responsible use.
Continuous education
Mantente informed on the capacities and current limitations of the IA medical. The technology evolves quickly, and is important to understand what can and can not do of reliable way.
Takes part in programs of digital literacy in health that help you to evaluate críticamente the proportionate medical information by systems automated.
Documentation and Follow-up
Maintain registers detailed of any interaction with systems of IA medical, including the recommendations received and the actions taken. This information can be valuable for your doctor during the surgeries.
Communicates to your professionals of health on the use of tools of IA, since this can help them to provide a more complete attention and contextualised.
The Future of the IA in Health
In spite of the current risks, the IA has an enormous potential to improve the sanitary attention when it implements correctly. The development of frames regulatorios more robust and the continuous improvement of the algorithms promise a surer future.
The key is in finding the suitable balance among the technological innovation and the security of the patient, ensuring that the IA complement, do not replace, the professional medical trial.
The responsibility shared among developers, professional of health, regulators and users will be fundamental for maximizar the profits of the IA while they minimise the risks associated with his use in the care of the health.