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Artificial intelligence (AI) is the simulation of human intelligence processes by computer systems. In healthcare, AI is being used to improve the accuracy and efficiency of medical diagnoses, treatment planning, and patient care.
Some examples of how AI is being used in healthcare include:
Medical imaging: AI algorithms can be used to analyze and interpret medical images, such as X-rays and MRIs, to aid in the diagnosis of diseases and injuries.
Electronic health records (EHRs): AI algorithms can be used to analyze large amounts of patient data in EHRs to identify patterns and predict outcomes, such as the likelihood of a patient developing a certain condition or responding to a certain treatment.
Drug discovery: AI can be used to analyze large amounts of data on drug interactions and potential side effects, helping to speed up the process of discovering new drugs and reducing the cost of research and development.
Robotic surgery: AI can be used to control surgical robots, allowing for more precise and less invasive surgery.
AI has the potential to improve the speed and accuracy of medical diagnoses, reduce healthcare costs, and improve patient outcomes. However, it’s important to note that AI is not a replacement for human intelligence, it’s a tool to assist healthcare professionals. Also, AI-based systems and algorithms still need to be developed, validated and regulated to ensure that it is safe and effective for use in healthcare.
October 16 to October 17, 2023
Paris, France
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