Smart Healthcare is one of the fastest-growing sectors driven by artificial intelligence, transforming traditional medical practices such as genetic sequencing, diagnosis, and surgery. It offers patients a comprehensive range of medical services and is expected to become an essential part of daily life in the future.
Before that, an inventory of smart medical products was conducted based on the annual product module, with follow-up plans to cover areas like annual data, capital events, and new arrivals. Stay tuned for more updates.
1. **Internet of Things (IoT) Technology**
The Internet of Things has ushered in the era of the "Internet of Everything," revolutionizing industrial models across all sectors. As a key focus of public welfare, healthcare has naturally become one of the most important applications of IoT technology. It enables seamless interaction between patients, medical staff, institutions, and equipment, gradually advancing the informatization of the medical field.
IoT technology enhances medical services in several ways:
a. Streamlining the patient visit process—patients can register, pay bills, and access reports with just a few taps.
b. Implementing intelligent management through the digitization of hospital vehicles and equipment, making operations more efficient.
c. Quickly collecting and analyzing valid patient data, saving time for medical professionals.
d. Improving service quality, boosting hospital efficiency, and offering patients greater convenience.
2. **Machine Learning Technology**
Machine learning uses unstructured or unlabeled data for unsupervised learning, enabling efficient and accurate neural networks. With its help, intelligent diagnosis and treatment have become more capable, scalable, and precise. For example, IBM Watson has been trained on electronic health records to accurately diagnose breast and heart diseases.
Studies suggest that AI-assisted diagnosis could improve clinical accuracy by 30–40% while cutting costs by up to 50%.
3. **Big Data Analysis Technology**
As major industries invest heavily in big data, the smart healthcare sector is also accelerating its efforts to understand disease causes and develop effective treatments. Big data plays a crucial role in disease surveillance, decision support, and health management, addressing challenges like data interoperability and security.
In oncology, big data has advanced personalized therapy, accurate diagnosis, and clinical decision tools, making it easier to treat serious conditions.
4. **Security Technology**
With the rise of big data and cloud computing, hospitals are increasingly relying on networked and intelligent systems. Security technology is used in two main ways:
a. Telemedicine systems using high-definition video cameras and terminals for remote visual care.
b. Medical security systems with features like face recognition and video analytics to detect anomalies and enhance safety.
5. **Wearable Device Technology**
Wearables integrate multimedia, sensors, and wireless communication into clothing, supporting gestures and eye movements for interactive experiences. These devices offer new possibilities in smart healthcare, such as monitoring brain activity and emotional states.
Soreon Research predicts that smart wearables could save 1.3 million lives by 2020, particularly by reducing hospital mortality rates. Current examples include wearable defibrillators and devices under development for brain tumors and headaches.
6. **Gene Sequencing Technology**
Baidu CEO Robin Li outlined four levels of smart healthcare: O2O triage, intelligent analysis, precision medicine, and drug research. With gene sequencing becoming more affordable and advanced, genetic data is growing rapidly, creating new opportunities for health analysis.
7. **Biosensor Technology**
Biosensors collect vital signs through medical equipment and transmit data to remote platforms. Doctors then use this information to provide health monitoring, prevention, and telemedicine services. Their sensitivity and quick response make them valuable tools in both research and clinical settings.
8. **Radio Frequency Identification (RFID) Technology**
RFID is a sensing technology that allows fast reading and long-term tracking. It embeds chips in materials and medicines, linking chip signals to product data. Hospitals use RFID for better material and pharmaceutical management.
Key functions include:
a. Wireless monitoring during emergencies.
b. Video surveillance from ambulances.
c. GPS-based positioning and dispatching of emergency vehicles.
9. **Perceived Cloud Service Technology**
Modern IT has transformed smart healthcare. Smart cloud services now offer self-aware and autonomous Solutions. The “health awareness cloud†stores vast amounts of health data, enabling data mining and comparison for better health insights.
10. **Artificial Neural Network Technology**
Since the 1980s, artificial neural networks have been a key area of AI research. They mimic the human brain’s structure to create models suitable for complex tasks. Due to the nonlinear nature of biological data, they are ideal for signal detection, medical expert systems, and more.
Today, they are widely used in biological signal analysis and diagnostic support systems.
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