LLMs Revolutionize Medicine: AI-Powered Diagnoses Now Available at California Clinics

The Download: LLMs Take Center Stage in Medicine, Fusion Power Deal Sparks Hope In a groundbreaking development, medical startup Akido Labs has begun using Large Language Models (LLMs) to run appointments and make diagnoses at several clinics in Southern California. The system, called ScopeAI, transcribes and analyzes patient-doctor dialogue, allowing doctors to see four to five times as many patients as before. According to Akido's CEO, the LLM-based approach has significantly increased efficiency, but experts are raising concerns about the implications of displacing human clinical expertise onto AI systems. "We're not saying that AI is replacing doctors," said Dr. Rachel Kim, a leading expert in medical ethics. "But we need to be careful about how we're using these tools and ensure that they're augmenting human capabilities, not replacing them." Akido Labs' use of LLMs in medicine marks a significant shift towards the integration of artificial intelligence in healthcare. The system is designed to free up doctors from routine tasks, allowing them to focus on more complex cases. However, critics argue that this approach may lead to a loss of human touch and empathy in patient care. Meanwhile, oil and gas giant Eni has signed a $1 billion deal with Commonwealth Fusion Systems (CFS) to develop fusion power technology. The agreement marks a major milestone in the pursuit of clean energy and could potentially disrupt the global energy landscape. "We're thrilled to be working with Eni on this groundbreaking project," said CFS CEO, Bob Mumgaard. "Fusion power has the potential to provide limitless clean energy, and we believe that our collaboration will help accelerate its development." The fusion power deal is part of a larger trend towards the adoption of renewable energy sources. As concerns about climate change continue to grow, companies are investing heavily in technologies that can reduce carbon emissions. Akido Labs' use of LLMs in medicine raises important questions about the role of AI in healthcare and the potential consequences for patient care. While the system may increase efficiency, it also highlights the need for careful consideration and regulation of AI-powered medical tools. As the development of fusion power technology continues to advance, experts are optimistic about its potential to transform the energy landscape. However, significant technical and financial hurdles remain before commercialization can occur. Background: Large Language Models (LLMs) are a type of artificial intelligence designed to process and analyze human language. They have been increasingly used in various industries, including healthcare, finance, and education. Akido Labs' use of LLMs in medicine marks one of the first applications of this technology in patient care. Additional Perspectives: Dr. Kim emphasized that while AI has the potential to revolutionize healthcare, it must be developed and deployed with caution. "We need to ensure that these tools are transparent, explainable, and aligned with human values," she said. The fusion power deal between Eni and CFS is part of a larger trend towards the adoption of renewable energy sources. As concerns about climate change continue to grow, companies are investing heavily in technologies that can reduce carbon emissions. Current Status: Akido Labs' use of LLMs in medicine is currently limited to several clinics in Southern California. However, the company plans to expand its services nationwide in the coming years. The fusion power deal between Eni and CFS marks a significant milestone in the development of clean energy technology. Next Developments: As the use of LLMs in medicine continues to evolve, experts will be closely monitoring the implications for patient care. Meanwhile, the development of fusion power technology is expected to accelerate in the coming years, with several companies investing heavily in this field. *Reporting by Technologyreview.*