The Impact of AI Medicine and Quantum Computing on Healthcare
The Institute for AI Industry Research (AIR) at Tsinghua University recently announced that the AI (artificial intelligence) hospital it has developed will begin outpatient consultation as early as the first half of 2025. Researchers at the institute are currently conducting intensive training for the AI doctors. The institute has developed 42 AI doctors capable of diagnosing and treating more than 300 common diseases across 21 departments, including pediatrics, respiratory medicine, dermatology, and otolaryngology.
At present, the Tsinghua AI hospital is already in closed beta testing. The results show that the AI hospital is operating well, with AI doctors delivering high-quality diagnosis and treatment for over 300 common diseases and common major illnesses. In many respects, AI doctors have advantages over doctors in offline hospitals: they can continuously evolve through ongoing training, and their learning curve is far shorter than that of human doctors. In the virtual world, it takes only a few days to accumulate diagnostic experience equivalent to tens of thousands of patients, greatly raising the overall level of the AI doctors.
The advent of the Tsinghua AI hospital is a milestone in China's AI healthcare enterprise, and the author greatly looks forward to its early deployment. Admittedly, the AI hospital will encounter many problems along its development, but with advances in artificial intelligence, it is believed that the AI hospital will elevate the standard of human medicine.
Meanwhile, Google also announced this Monday that it has made a major breakthrough in quantum computing chip research. Hartmut Neven, founder of Google Quantum AI, said on Monday (December 9) that the custom chip, named Willow, can complete in just a few minutes a task that would take an advanced supercomputer 10 septillion (a 1 followed by 24 zeros) years. Google's research brings quantum computing one step closer to practical application; if quantum computing is widely adopted, AI medicine is expected to evolve along with it.
Human technology is advancing at an unprecedented pace, and in the future, technology will play an ever-greater role in medicine. Human memory will never match that of artificial intelligence, and AI doctors may substantially reduce the rate of clinical misdiagnosis and improve medical quality. The extent to which AI doctors can replace human doctors remains to be seen, but their impact on medicine is bound to be profound.
The torrent of the times rolls forward. In an environment of technological progress, medical workers should also keep pace, learn new technologies, and embrace the future. Otherwise, perhaps in less than ten years, we will be the ones left behind.