How Can Artificial Intelligence Change Medical Imaging?

​Artificial intelligence can improve medical imaging for screenings, precision medicine, and risk assessment. 
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Increasingly, researchers are looking for ways to implement artificial intelligence into medical imaging.
There are several different cases for why a patient might need medical imaging. Whether it’s for a cardiac event, fracture, neurological condition, or thoracic complications, AI can quickly diagnose and provide treatment options.

Recently, research organizations and universities have been pursuing the expansion of AI in cancer screenings. Due to the COVID-19 pandemic, many patients chose to delay care, such as well-visits and cancer screenings, resulting in more advanced cancers.
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By implementing AI into medical imaging, the technology can enhance medical screenings, improve precision medicine, assess patient risk factors, and lighten the load for physicians.

This article looks at how AI can help in:

• Advancing Medical Screenings - By using AI in medical imaging, physicians can identify conditions much quicker, promoting early intervention.
• Improving Precision Medicine - AI can also be implemented into medical imaging to advance precision medicine. 
• Indicating and Assessing Risk - While AI can be used in medical imaging to identify current conditions impacting a patient, it can also predict the potential risk for future illnesses.

Read the full article here.​

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