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A cable tester is an electronic device used to verify the electrical connections in a cable or other wired assembly. Generally a cable tester consists of:
1.A source of electric current,
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2.A volt meter,
3.A switching matrix used to connect the current source and the volt meter to all of the contact points in a cable.
In addition to these parts a cable tester may also have a microcontroller and a display to automate the testing process and show the testing results.
In recent years, the integration of cutting-edge technologies like artificial intelligence, robotics, and virtual reality into healthcare has transformed what was once considered science fiction into reality. Imagine a "big white" companion that grows alongside you, monitoring your health and offering protection—no longer just a concept from cartoons. These innovations are now enabling people to receive remote medical care even in space, avoid crowded hospitals, and undergo complex surgeries with the help of advanced visualization tools.
The idea of a medical robot, like the "Bai Bai" seen in the movie *Super Marines*, is becoming more tangible. With AI and medicine working hand in hand, future medical robots could serve as personal health assistants, providing real-time support and guidance for individuals.
At the Guangdong Provincial Network Hospital in Haizhu District, Guangzhou, researchers are testing a medical chatbot that interacts with patients simulating symptoms such as headaches. The bot asks questions about fever, symptoms, and urgency, guiding users on whether they should seek immediate medical attention. This kind of AI-driven interaction is set to become a standard part of healthcare in the near future.
According to Wang Taifeng, COO of IBM Watson’s China operations, AI systems like Watson Oncologist are becoming powerful tools for doctors, helping them make informed decisions and recommend personalized treatment plans. As cognitive computing improves, these systems will play an even greater role in clinical settings.
Ana Rao, a PwC AI partner, highlights that AI’s potential in medicine lies in data-driven diagnostics, epidemiological analysis, and imaging interpretation. Beyond improving accuracy and efficiency, AI can also compare medical histories longitudinally and horizontally, leading to better, more tailored treatments.
De Rao adds that AI can assist in early disease detection and prevention, and in the long run, may even enable virtual drug development and robotic doctors capable of diagnosing and prescribing treatments.
However, challenges remain. Lu Bai, a professor at Tsinghua University Medical School, points out that AI’s effectiveness depends on solving big data issues. Currently, high-quality medical data is still underutilized, and unlocking its full potential is key to advancing AI in healthcare.
At the 2017 World Robotics Conference, a video showcased a surgeon using the Da Vinci surgical robot to perform a liver resection. The robot's precision allowed for minimally invasive procedures, reducing recovery time and surgical risks. On the exhibition floor, staff demonstrated how the robot could stitch wounds quickly, highlighting its ability to enhance both surgeon performance and patient outcomes.
Despite these advancements, cost remains a major barrier. Reducing the financial burden on patients and making surgical robots more accessible is essential for their widespread adoption.
Liu Yu, COO of US-China Huili Medical, believes that next-generation medical robots will bring significant improvements to cancer treatment. Experts predict that AI-powered medical systems will not only analyze vast amounts of medical records but also enrich doctors’ knowledge, ultimately improving diagnostic accuracy and patient care.