Publications by authors named "D S Dash"

Large language models (LLMs) have shown promise in medical question answering, with Med-PaLM being the first to exceed a 'passing' score in United States Medical Licensing Examination style questions. However, challenges remain in long-form medical question answering and handling real-world workflows. Here, we present Med-PaLM 2, which bridges these gaps with a combination of base LLM improvements, medical domain fine-tuning and new strategies for improving reasoning and grounding through ensemble refinement and chain of retrieval.

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Background: Helicobacter pylori infection is a major global health concern and has been associated with a number of gastrointestinal disorders. Probiotics, especially Lactobacillus spp., have been suggested to have beneficial effect in managing H.

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In this study, we investigate the performance of computer vision AI algorithms in predicting patient disposition from the emergency department (ED) using short video clips. Clinicians often use "eye-balling" or clinical gestalt to aid in triage, based on brief observations. We hypothesize that AI can similarly use patient appearance for disposition prediction.

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This study compares the relationships between important macroeconomic variables and outward foreign direct investment (OFDI) in the economies of the BRICS and N-11 countries between 1990 and 2019. The analysis employs a comprehensive econometric framework, with ordinary least squares (OLS) serving as the baseline model, followed by three-stage least squares (3SLS) to account for simultaneous relationships, and the generalized method of moments (GMM) for the robustness check to handle any endogeneity. The primary macroeconomic factors that are examined are GDP, financial development, trade openness, technological advancement, human capital, and inward foreign direct investment.

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