Generative AI technology has not only brought about the globally acclaimed ChatGPT service, but has also begun to have a significant impact on the healthcare field in recent years. With its high degree of automation and accuracy, generative AI is being used by researchers to predict diseases, diagnose patients, and discover new treatments, representing another significant opportunity for the development of precision medicine.
One important application of generative AI in the healthcare field is disease prediction. Physicians can use it to analyze patient medical records to predict future health conditions and potential disease risks, enabling earlier prevention and treatment. This not only allows physicians to better focus on patient health but also reduces healthcare costs.
Generative AI can aid in disease diagnosis. While artificial intelligence (AI) technology can already diagnose diseases by examining images, sounds, and other medical data, generative AI can provide rapid and highly accurate diagnostic results. For example, in lung image analysis, generative AI can accurately detect lesions in patients, helping to identify diseases early and improve treatment outcomes. In patient monitoring, it can analyze large amounts of physiological data to help doctors understand patients' health conditions and predict potential health risks.
Generative AI can also aid in new drug development and treatment methods. Drug development is a slow and time-consuming process, and generative AI can analyze vast amounts of research papers, clinical trials, and other data sources to identify patterns and insights that may contribute to drug discovery, identify new drug targets, and predict potential efficacy and safety, thereby reducing the time and cost of drug development.
Furthermore, the combination of generative AI and whole genome sequencing can bring more possibilities to the field of precision health. By using whole genome sequencing technology to obtain complete genetic data of patients, including disease risk, gene mutations and genetic information, generative AI can analyze and predict the data to help doctors develop personalized treatment plans, improve treatment effectiveness and reduce the occurrence of side effects and adverse reactions.
Overall, by leveraging generative AI technology to develop healthcare applications, physicians can better predict diseases, diagnose them, and discover new treatments. Of course, the healthcare field also needs to protect patient data privacy. This is why Taiwan needs its own large-scale language models. For example, the National Science Council is using the Taiwan Sugi-2 AI supercomputer to develop a "trustworthy AI dialogue engine," aiming to create smarter and more reassuring generative AI for healthcare in Taiwan.
Source: Financial News Issue 683