Publications by authors named "Song-Xiang Liu"
Article Synopsis
- The brain-computer interface (BCI) system connects external devices to the human brain and reflects mental states through EEG signals, which can often be contaminated by various artifacts.
- The complexity of unprocessed EEG data makes analysis and cleanup difficult, posing challenges for accurate readings.
- Recent advancements in artificial intelligence (AI) and machine learning have significantly improved the processing of EEG signals, allowing for better understanding of patients' health and potentially enhancing their quality of life.
Objective: To explore a new artificial intelligence (AI)-aided method to assist the clinical diagnosis of tibial plateau fractures (TPFs) and further measure its validity and feasibility.
Methods: A total of 542 X-rays of TPFs were collected as a reference database. An AI algorithm (RetinaNet) was trained to analyze and detect TPF on the X-rays.
As modern science and technology constantly progresses, the fields of artificial intelligence, mixed reality technology, remote technology, etc. have rapidly developed. Meanwhile, these technologies have been gradually applied to the medical field, leading to the development of intelligent medicine.
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- AI is a discipline focused on using computer technology to mimic and enhance human intelligence, impacting various fields including medicine.
- In healthcare, AI has improved diagnostics and treatments, resulting in increased accuracy and reduced workload for medical professionals.
- The review aims to highlight AI's current applications in medicine and explore future trends in areas like drug production, medical management, and education.