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Evaluating The Efficacy Of Chatgpt In Navigating The Spanish Medical Residency Entrance Examination (Mir): Promising Horizons For Ai In Clinical Medicine., Francisco Guillen-Grima, Sara Guillen-Aguinaga, Laura Guillen-Aguinaga, Rosa Alas-Brun, Luc Onambele, Wilfrido Ortega, Rocio Montejo, Enrique Aguinaga-Ontoso, Paul Barach, Ines Aguinaga-Ontoso
Evaluating The Efficacy Of Chatgpt In Navigating The Spanish Medical Residency Entrance Examination (Mir): Promising Horizons For Ai In Clinical Medicine., Francisco Guillen-Grima, Sara Guillen-Aguinaga, Laura Guillen-Aguinaga, Rosa Alas-Brun, Luc Onambele, Wilfrido Ortega, Rocio Montejo, Enrique Aguinaga-Ontoso, Paul Barach, Ines Aguinaga-Ontoso
Department of Medicine Faculty Papers
UNLABELLED: The rapid progress in artificial intelligence, machine learning, and natural language processing has led to increasingly sophisticated large language models (LLMs) for use in healthcare. This study assesses the performance of two LLMs, the GPT-3.5 and GPT-4 models, in passing the MIR medical examination for access to medical specialist training in Spain. Our objectives included gauging the model's overall performance, analyzing discrepancies across different medical specialties, discerning between theoretical and practical questions, estimating error proportions, and assessing the hypothetical severity of errors committed by a physician.
MATERIAL AND METHODS: We studied the 2022 Spanish MIR examination results after excluding …
A Comprehensive Study Of Deep Learning Frameworks For Uavs-Centric Land Remote Sensing Data Analysis Applications, Bishwas Praveen
A Comprehensive Study Of Deep Learning Frameworks For Uavs-Centric Land Remote Sensing Data Analysis Applications, Bishwas Praveen
Dissertations
Land Remote Sensing data analysis presents a distinctive Artificial Intelligence (AI) research paradigm bolstered through its rich collection of data, which are high-dimensional, generally in the form of tens/hundreds of spectral bands, and accommodates significant spatial and spectral/temporal information about the underlying terrain. Traditional remote sensing data analysis methodologies in literature are often observed to be biased towards providing more importance to spectral information, which evidently hurts the efficacy of such approaches. As a result, a considerable amount of effort in terms of research has been invested in effectively building data analysis methodologies which are spatial-, spectral-, and contextual-information inclusive, …