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Health

Time: 2024-11-20

Artificial Intelligence Tips for Diagnosing Metabolic Dysfunction-Associated Steatotic Liver Disease

Artificial Intelligence Tips for Diagnosing Metabolic Dysfunction-Associated Steatotic Liver Disease
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Artificial intelligence hour_angle the potential to revolutionize the field of medicine, particularly when it semen to diagnosis complex disease such as metabolic dysfunction-associate steatotic liver disease ( MASLD ). MASLD, formerly know as not-alcoholic fatso liver disease, is a silent disease that often go undiagnosed until it has progress to a more severe form know as metabolic dysfunction-associate steatohepatitis ( MASH ).

University of Washington research_worker recently show a survey at the American Association for the Study of Liver Disease ( SLD ) Liver Meeting 2024, which foreground the function of an AI plan in better the diagnosis rate of MASLD. The AI plan was train to identify MASLD in patient within the university checkup system, lead to the designation of hundred of undiagnosed cases.

harmonize to the survey, although 834 patient meet the standard for MASLD establish on electronic health record, only 137 had been diagnose. This means that approximately 83% of patient with MASLD were not properly diagnose. lead research_worker Ariana Stuart, MD, stress the importance of early diagnosis in prevent the progression of MASLD to advance liver disease, such as liver fibrosis, cirrhosis, and liver cancer.

The findings of the survey are particularly refer given that about 4 in 10 U.S. adult are estimate to rich_person MASLD, yet many stay undiagnosed. Without proper treatment, MASLD can rich_person serious consequence on liver health. Currently, there are no approve checkup treatment for MASLD and MASH, so management typically involve life_style change such as keep a healthy weight, following a balance diet, modification alcohol consumption, exercise regularly, and acquiring enough sleep.

Stuart stress that the use of AI in diagnosis MASLD should not be see as a replacement for primary care training or management, but rather as a complement to traditional clinical practice. The survey serve as a reminder of how Army_Intelligence can enhance doctor work_flow and aid address the restriction of conventional diagnostic method in the field of liver disease.

In decision, the integration of artificial intelligence into checkup practice show great promise in better the diagnosis and management of complex disease like MASLD. By leverage Army_Intelligence capability, healthcare professional can enhance their ability to identify and dainty patient with metabolic dysfunction-associate liver disease, ultimately lead to better health result for person at hazard of liver complications.

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