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Is The Use of Artificial Intelligence In Radiology Safe?

Ethics plays an important role in the healthcare sector, it is implied that any decision being made by the care professional should be patient-oriented. It is also considered to be an essential part of the healthcare ethics. Hence adopting AI solutions in Healthcare is a key decision to be focused on by the care professionals. 


A common question that industry stakeholders have is do using AI in Radiology is a safer approach. In this blog, we will discuss the key beliefs and approaches associated with such confusion that most stakeholders have. 


  • The initial aspect to be considered is evaluating the ethical approach to using AI solutions in Healthcare. Industry experts reveal that the use of AI in healthcare has certain limitations or specifications. The AI is limited to generating diagnosis reports for the tests, and further, the decisions are made based on the doctor's discretion. Hence eliminating the ethical risk of eliminating human intervention in the care process.


  • Further, discussing on safety it can be reflected that using AI solutions delivers more precise and accurate results. In the case of radiology, there are chances that a radiologist might overlook a symptom that may cause great distress for the patient.  But this is not the case when using AI, till now there have a negligible instances where AI has decoded health reports falsely. 


  • Also, it can be reflected that AI solutions in healthcare are often considered to be a medium through which both digital and doctor expertise can be utilised. It aims to reduce the load on doctors by providing them the initial diagnosis reports. Based on this the doctors can manually plan on patient's treatment plan. Also, the doctors are skilled enough to determine whether the report generated by AI in Radiology is accurate or there is a chance of inaccuracy. Hence, in such a situation relevant cross-checking can be done. 


  • AI solutions in healthcare are the bridge that can fill the gap of human inaccuracies in the care process. The reliable solutions developed by brands such as MlHealth 360 come into existence after rigorous testing and executions in real-life scenarios. Hence, they have a higher precision and accuracy. 

Wrapping Up 

Several advancements are on the way to AI in Radiology, such advancements are associated with improved precision and accuracy in report generation. Being a leading player in the health-tech industry, we at MlHealth 360 are dedicated to delivering advanced AI solutions in healthcare. If you want to know more in detail about our existing AI-based product offerings and the innovations we are working on, connect with us at MlHealth 360. 

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