Oscar A. Garcia Valencia

ORCID: 0000-0003-0186-9448
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About
Contact & Profiles
Research Areas
  • Artificial Intelligence in Healthcare and Education
  • Organ Donation and Transplantation
  • Renal Transplantation Outcomes and Treatments
  • Organ Transplantation Techniques and Outcomes
  • Pancreatic function and diabetes
  • Diabetes Treatment and Management
  • Palliative Care and End-of-Life Issues
  • Pregnancy and preeclampsia studies
  • Trauma, Hemostasis, Coagulopathy, Resuscitation
  • Birth, Development, and Health
  • Pharmacology and Obesity Treatment
  • Blood Pressure and Hypertension Studies
  • Renal and Vascular Pathologies
  • COVID-19 diagnosis using AI
  • Machine Learning in Healthcare
  • Meta-analysis and systematic reviews
  • Hyperglycemia and glycemic control in critically ill and hospitalized patients
  • Innovations in Medical Education
  • Pelvic floor disorders treatments
  • Mobile Health and mHealth Applications
  • Healthcare cost, quality, practices
  • Congenital gastrointestinal and neural anomalies
  • Maternal and fetal healthcare
  • FinTech, Crowdfunding, Digital Finance
  • Patient-Provider Communication in Healthcare

Mayo Clinic
2018-2025

Mayo Clinic in Arizona
2021-2024

Hypertension Institute
2024

WinnMed
2018-2023

University of Miami
2019-2021

Jackson Memorial Hospital
2020-2021

Landscape Research Group
2021

RELX Group (Netherlands)
2021

RELX Group (United States)
2021

Berlin Institute of Health at Charité - Universitätsmedizin Berlin
2020

Patients with chronic kidney disease (CKD) necessitate specialized renal diets to prevent complications such as hyperkalemia and hyperphosphatemia. A comprehensive assessment of food components is pivotal, yet burdensome for healthcare providers. With evolving artificial intelligence (AI) technology, models ChatGPT, Bard AI, Bing Chat can be instrumental in educating patients assisting professionals. To gauge the efficacy different AI discerning potassium phosphorus content foods, four...

10.3390/clinpract13050104 article EN cc-by Clinics and Practice 2023-09-26

ChatGPT is a novel tool that allows people to engage in conversations with an advanced machine learning model. ChatGPT's performance the US Medical Licensing Examination comparable successful candidate's performance. However, its nephrology field remains undetermined. This study assessed capabilities answering test questions.

10.2215/cjn.0000000000000330 article EN Clinical Journal of the American Society of Nephrology 2023-10-18

The integration of large language models (LLMs) into healthcare, particularly in nephrology, represents a significant advancement applying advanced technology to patient care, medical research, and education. These have progressed from simple text processors tools capable deep understanding, offering innovative ways handle health-related data, thus improving practice efficiency effectiveness. A challenge applications LLMs is their imperfect accuracy and/or tendency produce...

10.3390/medicina60030445 article EN cc-by Medicina 2024-03-08

Accurate information regarding oxalate levels in foods is essential for managing patients with hyperoxaluria, nephropathy, or those susceptible to calcium stones. This study aimed assess the reliability of chatbots categorizing based on their content. We assessed accuracy ChatGPT-3.5, ChatGPT-4, Bard AI, and Bing Chat classify dietary content per serving into low (<5 mg), moderate (5–8 high (>8 mg) categories. A total 539 food items were processed through each chatbot. The was compared...

10.3390/jpm14010107 article EN Journal of Personalized Medicine 2024-01-18

Background The endothelial glycocalyx is a vasoprotective barrier between the blood and endothelium. We hypothesized that degradation present in preeclampsia, pregnancy-specific hypertensive disorder characterized by dysfunction activation. Methods Results examined sublingual noninvasively using sidestream dark field imaging third trimester among women with normotensive pregnancies (n=73), early (n=14) or late (n=29) onset gestational diabetes mellitus (n=21). calculated width of was...

10.1161/jaha.118.010647 article EN cc-by-nc-nd Journal of the American Heart Association 2019-02-15

Literature reviews are valuable for summarizing and evaluating the available evidence in various medical fields, including nephrology. However, identifying exploring potential sources requires focus time devoted to literature searching clinicians researchers. ChatGPT is a novel artificial intelligence (AI) large language model (LLM) renowned its exceptional ability generate human-like responses across tasks. whether can effectively assist professionals relevant unclear. Therefore, this study...

10.3390/jcm12175550 article EN Journal of Clinical Medicine 2023-08-25

Addressing disparities in living kidney donation requires making information accessible across literacy levels, especially important given that the average American adult reads at an 8th-grade level. This study evaluated effectiveness of ChatGPT, advanced AI language model, simplifying to reading level or below.

10.3389/fdgth.2024.1366967 article EN cc-by Frontiers in Digital Health 2024-04-10

Abstract Health equity and accessing Spanish kidney transplant information continues being a substantial challenge facing the Hispanic community. This study evaluated ChatGPT’s capabilities in translating 54 English frequently asked questions (FAQs) into using two versions of AI model, GPT-3.5 GPT-4.0. The FAQs included 19 from Organ Procurement Transplantation Network (OPTN), 15 National Service (NHS), 20 Kidney Foundation (NKF). Two native Spanish-speaking nephrologists, both whom are...

10.1038/s41598-024-59237-7 article EN cc-by Scientific Reports 2024-04-12

Transparent reporting is essential for the critical evaluation of studies. However, statistical methods studies in biomedical sciences often limited. This systematic review examines quality two tests, t-tests and ANOVA, papers published a selection physiology journals June 2017. Of 328 original research articles examined, 277 (84.5%) included an ANOVA or t-test both. our sample were routinely missing information about both types tests: 213 (95% that used ANOVA) did not contain needed to...

10.7554/elife.36163 article EN cc-by eLife 2018-12-21

The rapid advancement of artificial intelligence (AI) technologies, particularly machine learning, has brought substantial progress to the field nephrology, enabling significant improvements in management kidney diseases. ChatGPT, a revolutionary language model developed by OpenAI, is versatile AI designed engage meaningful and informative conversations. Its applications healthcare have been notable, with demonstrated proficiency various medical knowledge assessments. However, ChatGPT's...

10.3390/jpm13121681 article EN Journal of Personalized Medicine 2023-12-04

In the aftermath of COVID-19 pandemic, ongoing necessity for preventive measures such as mask-wearing and vaccination remains particularly critical organ transplant recipients, a group highly susceptible to infections due immunosuppressive therapy. Given that many individuals nowadays increasingly utilize Artificial Intelligence (AI), understanding AI perspectives is important. Thus, this study utilizes AI, specifically ChatGPT 4.0, assess its in offering precise health recommendations...

10.1080/0886022x.2024.2337291 article EN cc-by Renal Failure 2024-04-07

Background Health equity and access to essential medical information remain significant challenges, especially for the Spanish-speaking Hispanic population, which faces barriers in accessing living kidney donation opportunities. ChatGPT, an AI language model with sophisticated natural processing capabilities, has been identified as a promising tool translating critical health into Spanish. This study aims assess ChatGPT’s translation efficacy ensure provided is accurate culturally relevant....

10.3389/fpubh.2025.1484790 article EN cc-by Frontiers in Public Health 2025-01-27

Disparities in access to care and transplantation outcomes, including prolonged waitlist times reduced living donor rates, are well-documented Hispanic kidney transplant patients. While post-transplant graft patient survival rates generally comparable those of non-Hispanic white patients, variability within the population is driven by socioeconomic clinical factors. Insurance type may be a crucial determinant both post-transplantation warranting focused study its impact this population. We...

10.1038/s41598-025-88672-3 article EN cc-by-nc-nd Scientific Reports 2025-02-10

Background: The use of artificial intelligence (AI) for interpreting ambulatory blood pressure monitoring (ABPM) data is gaining traction in clinical practice. Evaluating the accuracy AI models, like ChatGPT 4.0, settings can inform their integration into healthcare processes. However, limited research has been conducted to validate performance such models against expert interpretations real-world scenarios. Methods: A total 53 ABPM records from Mayo Clinic, Minnesota, were analyzed. 4.0's...

10.1177/20552076251326014 article EN cc-by-nc-nd Digital Health 2025-01-01

Background: Pancreas transplantation is a crucial surgical intervention for managing diabetes, but it faces challenges such as its invasive nature, stringent patient selection criteria, organ scarcity, and centralized expertise. Despite the steadily increasing number of pancreas transplants in United States, there need to understand global trends interest increase awareness participation islet cell transplantation. Methods: We analyzed Google Search “Pancreas Transplantation” “Islet Cell...

10.3390/clinpract14020046 article EN cc-by Clinics and Practice 2024-03-29
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