Companies such as NVIDIA are causing significant disruption in the healthcare industry. They have changed the technology architecture by accelerating large-scale computing. The graphics company claims, “Some things that could not have been done previously or would have taken very long, now because of NVIDIA’s technologies…you can do these things much quicker.”
There are numerous applications for artificial intelligence in the healthcare industry. To begin, one key industry is drug discovery. Prior to AI, medication discovery had numerous challenges. It might cost billions of dollars, take more than a decade, and ultimately fail in clinical trials. However, AI technology can now assist lessen the risk of failure. It would help medication developers save money and time.
Second, it could aid in surgical procedures. Robots could be developed with AI chips. According to the NIH, a study shows that “estimated that >200,000 patient deaths annually were due to preventable medical errors“. Mistakes are common among humans; nevertheless, AI with the correct expertise would make few to no mistakes. A major issue in the modern world is that not all doctors have experience. Robots, on the other hand, do not require experience because they will apply what the AI has learnt. They could use case studies and research to make their conclusions. They can even diagnose diseases faster and more correctly than doctors.
Elon Musk is also contributing to the AI field, although in a different way. He and his business, Neuralink, are working to develop AI chips that may be implanted in human brains to assist the disabled, particularly those suffering from brain disorders. These AI chips in humans have the potential to provide them with vast amounts of knowledge!
There are additional risks associated with AI. We must remember that AI is a program in development. Programs can always fail. They can also malfunction, which is dangerous when dealing with people’s lives. There may also be cybersecurity hazards involved. We’d have to ensure that it has adequate cybersecurity risk mitigation.
To summarize, it has numerous applications, each with its own set of advantages and disadvantages. It would be extremely beneficial, spanning from the development of robots to the integration of AI chips into human brains. It does, however, have its disadvantages, as do all things. Cybersecurity and program problems are only a few examples.
Sources:
Investor’s Business Daily. “How Nvidia Is Injecting AI into the Health Care Industry.” YouTube, 1 Aug. 2024, www.youtube.com/watch?v=Kui-SXR_9pE.
Rodziewicz, Thomas L., et al. “Medical Error Reduction and Prevention.” National Library of Medicine, StatPearls Publishing, 2024, www.ncbi.nlm.nih.gov/books/NBK499956/.
Samuel, Sigal. “Elon Musk Wants to Merge Humans with AI. How Many Brains Will Be Damaged along the Way?” Vox, 16 Oct. 2023, www.vox.com/future-perfect/23899981/elon-musk-ai-neuralink-brain-computer-interface.
“NVIDIA Solutions for BioPharma.” NVIDIA, 2024, www.nvidia.com/en-us/industries/healthcare-life-sciences/drug-discovery/?srsltid=AfmBOorK4LcBX35ygpwK_pe5j_9Kp1fND31pqUd6W8G5gpADLButHD5X.
Very interesting to read