Artificial intelligence can improve medical imaging for screenings, precision medicine, and risk assessment.


Copyright: – “How Can Artificial Intelligence Change Medical Imaging?”


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.

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.


By using AI in medical imaging, physicians can identify conditions much quicker, promoting early intervention.

At Tulane University, researchers discovered that AI can accurately detect and diagnose colorectal cancer by analyzing tissue scans as well or better than pathologists.

The purpose of this study was to determine whether artificial intelligence could be a tool to assist pathologists in keeping up with the rising demand for services.

According to the researchers, pathologists regularly evaluate and label thousands of histopathology images to identify whether a patient has cancer. However, their average workload has significantly increased, which could lead to unintended misdiagnoses.

“Even though a lot of their work is repetitive, most pathologists are extremely busy because there’s a huge demand for what they do but there’s a global shortage of qualified pathologists, especially in many developing countries,” Professor and Director of the Tulane Center of Biomedical Informatics and Genomics at Tulane University School of Medicine, Hong-Wen Deng, PhD, said in a press release.

“This study is revolutionary because we successfully leveraged artificial intelligence to identify and diagnose colorectal cancer in a cost-effective way, which could ultimately reduce the workload of pathologists.” […]

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