Welcome Guest! You are here: Home » Health

This AI system detects acute ischemic stroke in 90 seconds

The Neurology Department of China Medical University Hospital (CMUH, Taiwan), teaming up with AI Center at CMUH, has established the AISIA (Artificial Intelligence for Stroke Image Analysis) platform with record speed. Read More

Tuesday April 2, 2024 11:41 PM, ummid.com News Network

[When applied within 90 minutes of stroke onset, CMUH's AISIA determined that most of Mrs. Lin's affected brain area was salvageable.]

Taichung (Taiwan): The Neurology Department of China Medical University Hospital (CMUH, Taiwan), teaming up with AI Center at CMUH, has established the AISIA (Artificial Intelligence for Stroke Image Analysis) platform with record speed.

AISIA contains "NCCT-based Ischemic Stroke Detection System (AISIA-NCCT)" and the "Brain CT Perfusion Analysis System (AISIA-CTP)", both the innovations by AI Center at CMUH.

AISIA which analyzes NCCT and CTP images to detect acute ischemic stroke, as well as identify the ischemic core and penumbra, assist physicians in making decision of acute ischemic stroke management.

"The CTP analysis of AISIA was used to determine salvageable (penumbra) and non-salvageable (ischemic core) areas to help physicians determine effective treatment", Dr. Sheng-Ta Tsai of Neurology Department at CMUH said.

Mrs. Lin, at the age of 79-year-old, was only able to make slight movements of the left limbs but showed (left) unilateral neglect, paralysis of her left face, and significant slurred speech.

Dr. Sheng-Ta Tsai, Neurology Department at CMUH, made a preliminary judgment of a right cerebral stroke with a large area of involvement, which was later confirmed by AISIA-NCCT. Then, the extent of the insult was determined using AISIA-CTP. The final diagnosis was ischemic stroke due to right middle cerebral artery occlusion.

Mrs. Lin showed good recovery after endovascular thrombectomy, which not only reduced the risk of death associated with large-area strokes but also significantly improved left limb mobility and speech.

According to Dr. Sheng-Ta Tsai, the CTP analysis of AISIA was used to determine salvageable (penumbra) and non-salvageable (ischemic core) areas to help physicians determine effective treatment.

AI Center at CMUH points out that AISIA-NCCT implements deep learning to conduct AI model training with the medical information of nearly four hundred patients.

"This system can determine the presence of acute ischemic stroke in approximately 90 seconds", the CMUH said.

This model currently outperforms traditional manual interpretation, achieving 92.5% accuracy, 100% sensitivity, and 89.7% specificity in detecting brain ischemia greater than 70mL.

"It enhances healthcare professionals' decision-making capabilities regarding stroke diagnosis and treatment", the CMUH said.

 

Select Language To Read in Urdu, Hindi, Marathi or Arabic.

 

..