Chinese Researchers Successfully Utilize AI for Medical Applications

Bittime - Chinese researchers have successfully harnessed artificial intelligence or AI to transform the way evidence-based medicine is conducted.

By integrating AI into Digital Intelligent Evidence-Based Medicine or i-EBM, they are delivering a more dynamic, precise, and efficient approach to medical decision-making.

Ge Long, a professor at Lanzhou University School of Public Health and the study's leader, explained that i-EBM presents three key dimensions: data integration from multiple sources, intelligent evidence analysis, and personalized decision support for each patient.

"Rapidly developing AI technology is now capable of processing large amounts of data and converting it into referenceable treatment plans, enabling evidence-based medical practice to thrive in the AI ​​era," he said.

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This research was published in the journalChinese Science Bulletinand involves collaboration between i-EBM experts and AI researchers.

Traditional medical evidence has long been the foundation of modern medical decision-making, combining the best research evidence, clinical judgment, and patient considerations.

However, traditional methods have limitations, such as delayed information, fragmented evidence, and minimal individual consideration for each patient.

In that context, i-EBM is not a replacement for traditional EBM, but rather a natural evolution that combines machine intelligence with human expertise.

This system builds a unified digital foundation through the integration of high-quality scientific evidence, biomedical knowledge systems, and real-world data from multiple sources, including electronic medical records and medical images.

With the help of AI, doctors can get more precise diagnostic and treatment advice.

"In its early stages, i-EBM offered standardized plans that doctors could use as a reference. In theory, EBM takes into account a wealth of information, but in practice, it's difficult for clinicians to navigate, organize, and analyze all that data," Ge added.

The advantage of i-EBM lies in AI's ability to build deep connections between scientific research data, medical records, medical images, and environmental information, which were previously difficult to achieve manually.

Furthermore, AI can reduce repetitive work. Processes that used to take months can now be completed in hours or even minutes.

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The research team also highlighted the benefits of i-EBM in traditional Chinese medicine research. AI supports data integration, pattern recognition, and causal analysis to understand the internal principles of TCM evidence and optimize its evaluation system.

The results of this research have been applied through various digital and smart products, including guides to the use of Chinese patent medicines, and support medical research and practice.

In addition, the research team is collaborating with medical institutions to apply i-EBM to the treatment of pediatric pneumonia.

By combining image, laboratory, and clinical data, i-EBM builds a multimodal database to facilitate more scientific diagnosis and treatment planning.

"The era of AI has arrived. We will continue to develop i-EBM research to raise medical standards, promote more equitable access to healthcare, and contribute to improving public health," Ge concluded.

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FAQ

What is i-EBM?

i-EBM is an evolution of evidence-based medicine that leverages AI for data integration, intelligent evidence analysis, and personalized decision support for patients.

How does AI help i-EBM?

AI is capable of processing large amounts of data, developing treatment plans, recognizing patterns, and performing causal analysis quickly, which previously took months.

Does i-EBM replace traditional EBM?

No, i-EBM complements traditional EBM by combining machine intelligence and human expertise, resulting in more precise decision-making.

In what areas has i-EBM been implemented?

i-EBM has been applied to Chinese patent medicine usage guidance, medical research, and pediatric pneumonia treatment, with integration of clinical data and medical images.

What are the main benefits of i-EBM for patients?

Patients can receive more precise diagnoses and treatment plans, based on scientific data and AI analysis, while increasing the efficiency of medical services.