David Toro-Tobón
Georgetown University
29 Papers
26 Citations
David Toro-Tobón is an academic researcher from Georgetown University. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 4, co-authored 6 publications.
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Papers
Artificial Intelligence in Thyroidology: A Narrative Review of the Current Applications, Associated Challenges, and Future Directions.
TL;DR: In this paper , the authors examine the current state, limitations, and future directions of AI in thyroidology and examine the benefits of using AI in the care of patients with thyroid nodules, thyroid cancer and functional or autoimmune thyroid disease.
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Prevalence of hepatitis C virus in young people who inject drugs in four Colombian cities: A cross-sectional study using Respondent Driven Sampling.
David Toro-Tobón,Dedsy Berbesi-Fernández,Pedro Mateu-Gelabert,Ángela Segura-Cardona,Liliana Montoya-Vélez +4 more
TL;DR: Although prevalence of HCV in PWID in Colombia is lower than that reported for other countries, the described demographic characteristics and diverse risky injection behaviors on each city, in the context of a young PWID population with a short injection drug use history, should be taken into account in order to guide efforts towards preventing and reducing risk ofHCV infection.
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Prevalence of HIV/Hepatitis C Virus Co-Infection and Injection Risk Correlations in People Who Inject Drugs in Colombia: A Cross-Sectional Study Using Respondent Driven Sampling.
TL;DR: In Colombia, an exponential growth of people who inject drugs (PWID) has been reported over the past decades as discussed by the authors, and the main burden of disease in PWID is attributed to human immunodeficiency.
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Gender Differences in Risky Injection Practices Among People Who Inject Drugs in Colombia
TL;DR: High dependence on sexual partner and risky injection behaviors among female who inject drugs were identified and contextualized with gender vulnerabilities in Colombia are fundamental for prevention/intervention efforts aimed at helping this at-risk population in the country and in Latin America.
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A Systematic Review of Natural Language Processing Methods and Applications in Thyroidology
Ricardo Loor-Torres,Mayra Duran,David Toro-Tobón,Maria Mateo Chavez,Oscar Ponce,Cristian Soto Jacome,Danny Segura Torres,Sandra Algarin Perneth,Victor Montori,Elizabeth H. Golembiewski,Mariana Borras Osorio,Jungwei W. Fan,Naykky Singh Ospina,Yonghui Wu,J. P. Brito +14 more
- 01 Jun 2024
TL;DR: This systematic review of 24 NLP studies on thyroid-related conditions finds deep learning-based methods dominate, with applications in thyroid nodule and cancer identification, primarily using electronic health records, but lacking external validation and clinical implementation.
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