Eleni Linos

BackgroundActive surveillance may be considered for low-risk basal cell carcinomas (BCCs) in patients with limited life expectancy; however, estimates of life expectancy are not readily available. Veterans Health Administration's Care Assessment Need (CAN) score may address this problem.ObjectiveWe examined the CAN score's performance in predicting 1-, 3-, and 5-year mortality in US veterans with BCC.MethodsThis retrospective cohort study used national Veterans Health Administration's electronic medical record data. The CAN score's performance in the prediction of mortality in veterans with BCC was evaluated based on tests of goodness-of-fit, discrimination, and calibration.ResultsFor 54,744 veterans with BCC treatment encounters between 2013 and 2018, the CAN score performed well in the prediction of mortality based on multiple tests. A threshold CAN score of 90 had a positive predictive value of …

The development of diagnostic tools for skin cancer based on artificial intelligence (AI) is increasing rapidly and will likely soon be widely implemented in clinical use. Even though the performance of these algorithms is promising in theory, there is limited evidence on the impact of AI assistance on human diagnostic decisions. Therefore, the aim of this systematic review and meta-analysis was to study the effect of AI assistance on the accuracy of skin cancer diagnosis. We searched PubMed, Embase, IEE Xplore, Scopus and conference proceedings for articles from 1/1/2017 to 11/8/2022. We included studies comparing the performance of clinicians diagnosing at least one skin cancer with and without deep learning-based AI assistance. Summary estimates of sensitivity and specificity of diagnostic accuracy with versus without AI assistance were computed using a bivariate random effects model. We identified 2983 …

ImportancePrevious studies have suggested that radiation therapy may contribute to an increased risk of subsequent nonkeratinocyte (ie, not squamous and basal cell) skin cancers.ObjectiveTo test the hypothesis that radiation therapy for breast cancer increases the risk of subsequent nonkeratinocyte skin cancers, particularly when these cancers are localized to the skin of the breast or trunk.Design, Setting, and ParticipantsThis population-based cohort study used longitudinal data from the Surveillance, Epidemiology, and End Results (SEER) Program for January 1, 2000, to December 31, 2019. The SEER database includes population-based cohort data from 17 registries. Patients with newly diagnosed breast cancer were identified and were evaluated for subsequent nonkeratinocyte skin cancer development. Data analysis was performed from January to August 2023.ExposuresRadiation therapy …

Assessment of correctness, content omission, and risk of harm in large language model responses to dermatology continuing medical education questions. - Abstract - Europe PMC Sign in | Create an account https://orcid.org Europe PMC Menu About Tools Developers Help Contact us Helpdesk Feedback Twitter Blog Tech blog Developer Forum Europe PMC plus Search life-sciences literature (43,556,016 articles, preprints and more) Search Advanced search Feedback This website requires cookies, and the limited processing of your personal data in order to function. By using the site you are agreeing to this as outlined in our privacy notice and cookie policy. Abstract Full text Assessment of correctness, content omission, and risk of harm in large language model responses to dermatology continuing medical education questions. Cai ZR 1 , Chen ML 2 , Kim J 2 , Novoa RA 3 , Barnes LA 4 , Beam A 5 , Linos E 2 …

We sought to investigate the feasibility of longitudinal monitoring of disease activity from home in people with hidradenitis suppurativa (HS). Over 6 months, our novel digital tool collected 421 photos of HS-affected skin from 27 participants and captured trends in pain and quality of life scores. We found that participants with mild disease were more likely to share their progress than those with more severe disease, which is favourable as it may suggest a role for remote monitoring in tracking disease progression. This pilot provides proof of concept that will support future studies.

Background Health care providers and health-related researchers face significant challenges when applying sentiment analysis tools to health-related free-text survey data. Most state-of-the-art applications were developed in domains such as social media, and their performance in the health care context remains relatively unknown. Moreover, existing studies indicate that these tools often lack accuracy and produce inconsistent results. Objective This study aims to address the lack of comparative analysis on sentiment analysis tools applied to health-related free-text survey data in the context of COVID-19. The objective was to automatically predict sentence sentiment for 2 independent COVID-19 survey data sets from the National Institutes of Health and Stanford University. Methods Gold standard labels were created for a subset of each data set using a panel of human raters. We compared 8 state-of-the-art sentiment analysis tools on both data sets to evaluate variability and disagreement across tools. In addition, few-shot learning was explored by fine-tuning Open Pre-Trained Transformers (OPT; a large language model [LLM] with publicly available weights) using a small annotated subset and zero-shot learning using ChatGPT (an LLM without available weights). Results The comparison of sentiment analysis tools revealed high variability and disagreement across the evaluated tools when applied to health-related survey data. OPT and ChatGPT demonstrated superior performance, outperforming all other sentiment analysis tools. Moreover, ChatGPT outperformed …

Background: The COVID-19 pandemic rapidly changed the landscape of clinical practice in the United States; telehealth became an essential mode of health care delivery, yet many components of telehealth use remain unknown years after the disease’s emergence.Objective: We aim to comprehensively assess telehealth use and its associated factors in the United States.Methods: This cross-sectional study used a nationally representative survey (Health Information National Trends Survey) administered to US adults (≥ 18 years) from March 2022 through November 2022. To assess telehealth adoption, perceptions of telehealth, satisfaction with telehealth, and the telehealth care purpose, we conducted weighted descriptive analyses. To identify the subpopulations with low adoption of telehealth, we developed a weighted multivariable logistic regression model.Results: Among a total of 6252 survey participants, 39.3%(2517/6252) reported telehealth use in the past 12 months (video: 1110/6252, 17.8%; audio: 876/6252, 11.6%). The most prominent reason for not using telehealth was due to telehealth providers failing to offer this option (2200/3529, 63%). The most common reason for respondents not using offered telehealth services was a preference for in-person care (527/578, 84.4%). Primary motivations to use telehealth were providers’ recommendations (1716/2517, 72.7%) and convenience (1516/2517, 65.6%), mainly for acute minor illness (600/2397, 29.7%) and chronic condition management (583/2397, 21.4%), yet care purposes differed by age, race/ethnicity, and income. The satisfaction rate was predominately high, with no …

ImportanceDermatology is one of the least diverse specialties, while patients from minority racial and ethnic groups and other underserved populations continue to face numerous dermatology-specific health and health care access disparities in the US.ObjectivesTo examine the demographic characteristics and intended career goals of graduating US allopathic medical students pursuing careers in dermatology compared with those pursuing other specialties and whether these differ by sex, race and ethnicity, and/or sexual orientation.Design, Setting, and ParticipantsThis secondary analysis of a repeated cross-sectional study included 58 077 graduating allopathic medical students using data from the 2016 to 2019 Association of American Medical Colleges Graduation Questionnaires.Main Outcomes and MeasuresThe proportion of female students, students from racial and ethnic groups underrepresented in …