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The Future of Large Language Models in Healthcare: Balancing Potential Benefits and Risks

This article discusses the need for regulatory oversight of large language models (LLMs)/generative artificial intelligence (AI) in healthcare. LLMs can be implemented in healthcare settings to summarize research papers, obtain insurance pre-authorization, and facilitate clinical documentation. LLMs can also improve research equity and scientific writing, improve personalized learning in medical education, streamline the healthcare workflow, work as a chatbot to answer patient queries and address their concerns, and assist physicians to diagnose conditions based on laboratory results and medical records.

11 Jul 2023

Revolutionizing Quantum Machine Learning: Unlocking Unknown Unitaries with Breakthrough Training Approach

Learning unknown unitaries in Quantum Machine Learning (QML) is achieved through training with product states, enabling the understanding of unitary actions on entangled states. This breakthrough has implications for quantum dynamics learning and circuit compilation on near term quantum hardware.

7 Jul 2023

AI's Potential in Social Sciences Explored

Researchers from top universities explore the potential of large language models (LLMs) in social sciences, highlighting their ability to simulate human responses and behaviors, transforming research practices. However, challenges such as the exclusion of socio-cultural biases and the need for clear guidelines on ethical usage must be addressed to fully leverage the power of LLMs in enhancing our understanding of human behavior.

26 Jun 2023