AIMC Topic: Texas

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Ground Glass Lesions on Chest Imaging: Evaluation of Reported Incidence in Cancer Patients Using Natural Language Processing.

The Annals of thoracic surgery Oct 26, 2018
BACKGROUND: Ground glass opacities (GGOs) on computed tomography (CT) have gained significant recent attention, with unclear incidence and epidemiologic patterns. Natural language processing (NLP) is a powerful computing tool that collects variables ...
Natural Language Processing Texas Adenocarcinoma of Lung Incidence Follow-Up Studies Diagnosis, Differential Tomography, X-Ray Computed Female Reproducibility of Results Risk Factors Male Middle Aged Humans Prognosis Retrospective Studies
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Robot-assisted laparoscopic pyeloplasty in infants using 5-mm instruments.

Journal of pediatric urology Jan 17, 2017
BACKGROUND: Utilization of the robotic approach to pyeloplasty continues to grow in the field of pediatric urology. Adoption in the infant population has perhaps been the slowest because of the limited operative domain and relatively large instrument...
Hydronephrosis Nephrotomy Humans Laparoscopy Retrospective Studies Equipment Design Female Robotic Surgical Procedures Follow-Up Studies Infant Male Hospitals, Pediatric Operative Time Risk Assessment Time Factors Robotics Kidney Pelvis Treatment Outcome Texas
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Identifying environmental drivers of Aedes aegypti and Aedes albopictus abundance in the Dallas-Fort Worth metroplex using Random Forest modeling.

Journal of medical entomology Jul 17, 2025
Aedes aegypti and Aedes albopictus are 2 medically important vectors that have established populations globally. In the United States, Ae. aegypti populations declined post-Ae. albopictus introduction, though both species now can be readily found thr...
Animals Random Forest Animal Distribution Texas Population Density Models, Biological Aedes Mosquito Vectors
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Building and Beta-Testing Be Well Buddy Chatbot, a Secure, Credible and Trustworthy AI Chatbot That Will Not Misinform, Hallucinate or Stigmatize Substance Use Disorder: Development and Usability Study.

JMIR human factors May 7, 2025
BACKGROUND: Artificially intelligent (AI) chatbots that deploy natural language processing and machine learning are becoming more common in health care to facilitate patient education and outreach; however, generative chatbots such as ChatGPT face ch...
Computer Security Machine Learning Humans Generative Artificial Intelligence Texas Artificial Intelligence Substance-Related Disorders Text Messaging
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A Cancer Paradox: Machine-Learning Backed Propensity-Score Analysis of Coronary Angiography Findings in Cardio-Oncology.

The Journal of invasive cardiology Jan 1, 2019
OBJECTIVES: Cancer has been proposed as a cardiovascular risk factor. We aimed to assess the cardiovascular risk profile and coronary angiography (CA) findings of cancer patients and compare them to those of patients without cancer.
Female Aged Aged, 80 and over Humans Machine Learning Retrospective Studies Cancer Care Facilities Multivariate Analysis Propensity Score Texas Prevalence Age Factors Case-Control Studies Coronary Angiography Logistic Models Male Coronary Artery Disease Risk Assessment Reference Values Neoplasms Sex Factors Academic Medical Centers
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Towards a HPV Vaccine Knowledgebase for Patient Education Content.

Studies in health technology and informatics Jan 1, 2016
Human papillomavirus is a widespread sexually transmitted infection that can be prevented with vaccination. However, HPV vaccination rates in the United States are disappointingly low. This paper will introduce a patient oriented web ontology intende...
Computer-Assisted Instruction Consumer Health Information Texas Infectious Disease Medicine Internet Knowledge Bases Papillomavirus Infections Vaccination Humans Patient Education as Topic User-Computer Interface Papillomavirus Vaccines
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On Building an Ontological Knowledge Base for Managing Patient Safety Events.

Studies in health technology and informatics Jan 1, 2015
Over the past decade, improving healthcare quality and safety through patient safety event reporting systems has drawn much attention. Unfortunately, such systems are suffering from low data quality, inefficient data entry and ineffective information...
Terminology as Topic Texas Medical Errors Knowledge Bases Internationality Biological Ontologies Patient Safety Electronic Health Records Risk Management
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