Time is Life - Artificial Intelligence Empowers Stroke Rescue, Benefitting More People

Time is Life - Artificial Intelligence Empowers Stroke Rescue, Benefitting More People"Time is life," a statement that resonates most powerfully during the process of rescue. Every second counts, and the efficiency of the rescue operation determines a patient's fate

Time is Life - Artificial Intelligence Empowers Stroke Rescue, Benefitting More People

"Time is life," a statement that resonates most powerfully during the process of rescue. Every second counts, and the efficiency of the rescue operation determines a patient's fate. Wang Dacheng, a 45-year-old community worker, experienced sudden left-hand numbness. However, he disregarded the symptoms and continued working. During his night shift, he suffered a stroke and was found by his colleague, who quickly sent him to the First Hospital of Jilin University for emergency treatment.

Doctors determined that Wang Dacheng had been experiencing stroke symptoms for a considerable duration, requiring immediate intervention. This is where artificial intelligence stepped in, assisting doctors in analyzing imaging data within a mere 3 minutes. Multidisciplinary experts collaborated to develop a treatment plan, ultimately using mechanical thrombectomy to successfully rescue Wang Dacheng from the brink of permanent paralysis and death.

This race against time ended in victory, a testament to the hospital's green channel, platform technology, and the powerful aid of artificial intelligence.

However, the urgency of the time window in stroke treatment cannot be overstated. Every minute of delay for a stroke patient results in the loss of 1.9 million brain cells. Therefore, prompt and accurate diagnosis and treatment are paramount.

Challenges and Opportunities:

• Diagnostic Difficulty: After 6 hours of stroke onset, most areas of the brain tissue are damaged. Primary care physicians often lack sufficient diagnostic skills and reliable, accurate automated assessment tools, making it difficult to precisely identify the core infarct area and salvageable brain tissue, leading to prolonged diagnosis times and lower treatment rates.

• Treatment Status: The reperfusion treatment rate for acute ischemic stroke in China is significantly lower than in developed countries. The actual implementation rate of intravenous thrombolysis for acute ischemic stroke patients within 4.5 hours of onset without contraindications is only 22.9%.

• Uneven Distribution of Physician Resources: China is a stroke-prone country, with over 3 million new stroke cases annually. Stroke patients account for a staggering 66.5% of all neurological patients hospitalized in China. However, cultivating a highly qualified stroke physician takes 10 years, and the uneven distribution of physician resources leaves primary care institutions in dire need of enhanced diagnostic capabilities.

Artificial Intelligence Empowers Stroke Rescue:

The AI-powered medical imaging auxiliary system developed by Inspur and Yuannao Left-Hand Partner has the potential to transform this landscape. This system can:

• Achieve Fast and Accurate Infarct Lesion Detection: Trained on a massive dataset of clinical imaging data, the system can detect and quantify infarct lesions within 15-20 minutes with an accuracy rate of 97.5%.

• Assist Primary Care Physicians in Enhancing Diagnostic Skills: The system transforms the best doctor's diagnostic experience into algorithms and solutions, enabling primary care physicians to quickly and accurately analyze imaging data, reducing misdiagnosis and missed diagnosis rates while improving work efficiency.

• Promote Homogeneous Healthcare: The "equipment to rural areas" approach brings advanced diagnostic technology to primary care institutions, benefiting a greater number of patients.

Three Key Elements of AI Healthcare:

The AI-powered auxiliary analysis medical product used in Wang Dacheng's case is backed by a powerful technological foundation:

• Data: The system is trained on tens of thousands of clinical imaging data from leading hospitals worldwide, encompassing a wealth of high-quality case information.

• Algorithm: Senior experts in neurological research and treatment translate their diagnostic expertise into AI models, supporting automated analysis of multi-modal imaging, meeting the equipment requirements of hospitals