Latest posts tagged with #JAMANetworkOpen on Bluesky
📣 Publication Spotlight | Yale NCSP Alumni
Congratulations to Yale NCSP alum Ben Howell, MD, MHS (2016–2017), on a new publication in JAMA Network Open!
Read the full article: jamanetwork.com/journals/jam...
#YaleNCSP #JAMANetworkOpen #HealthPolicy #AccessToCare
This quality improvement study evaluates the susceptibility of commercial large language models (LLMs) to prompt-injection attacks that may induce unsafe clinical advice contraindicated treatments. #JAMANetworkOpen
This diagnostic study investigates how chatbots interpret probability terms, such as rare, common, and possible, when describing medical risk. #JAMANetworkOpen
This survey study describes the current and planned implementation of generative artificial intelligence (AI) in nonfederal acute care US hospitals. #JAMANetworkOpen
This prognostic study uses United Network for Organ Sharing data to develop, validate, and assess the clinical utility of an interpretable hybrid machine learning model to predict time to death or retransplant at 1, 5, and 10 years after a lung transplant. #JAMANetworkOpen
This randomized clinical trial of men who have sex with men investigates whether a chatbot-delivered HIV self-testing service is similar to a self-testing service with online real-time support by human administrators in increasing self-testing uptake and counseling support. #JAMANetworkOpen
This randomized clinical trial evaluates the effectiveness of an approach combining the Quick Dementia Rating System and Passive Digital Marker machine learning algorithm for the detection of Alzheimer disease and other related dementias in primary care. #JAMANetworkOpen
This sytematic review examines US Food and Drug Administration (FDA) premarket clearances for artificial intelligence and machine learning devices in radiology with emphasis on testing. #JAMANetworkOpen
This cross-sectional study surveyed US adolescents and young adults on their use of generative artificial intelligence (AI) for mental health advice, including frequency and perceived helpfulness. #JAMANetworkOpen
This prognostic study describes the development and validation of a machine learning model to predict patient response to internet-delivered cognitive behavioral therapy (CBT) and tests its specificity against antidepressant medications. #JAMANetworkOpen
This randomized clinical trial compares the effectiveness of 3 brief smartphone app–based interventions (physical activity, mindfulness, and sleep hygiene) or an active control (ecological momentary assessment) for reducing mild, moderate, and severe psychological distress among co… #JAMANetworkOpen
This prognostic study generates and internally validates predictive models for 30-day mortality and nonhome discharge using routinely available preoperative data. #JAMANetworkOpen
This cohort study compares the performance of a large language model against manual medical record review for extracting presenting signs and symptoms data from hospital admission notes and uses these data to examine their associations with different sepsis syndromes and mortality.… #JAMANetworkOpen
Clinicians hate sepsis because it is common, associated with a high risk of mortality, and hard to define. Almost any symptom can be associated with sepsis, 1 which means no symptom can be used to rule the diagnosis in or out. Basically, if a clinician suspects a patient might have… #JAMANetworkOpen
In their evaluation of consumer chatbots, Brewster et al 1 highlight critical gaps in how generative artificial intelligence (AI) platforms respond to simulated adolescent health crises, with companion chatbots performing especially poorly. These findings are particularly concernin… #JAMANetworkOpen
This cross-sectional study examines content policies and assesses behaviors of consumer chatbots in response to adolescent health crises. #JAMANetworkOpen
This trial protocol describes a multicomponent randomized clinical trial that integrated an artificial intelligence (AI)–powered diabetic retinopathy screening workflow to improve screening rates, detection of early-stage disease, and timely eye specialist follow-up. #JAMANetworkOpen
Song et al 1 have reported the development and in silico evaluation of a locally hosted large language model (LLM) assistant for generating discharge documentation in the emergency department (ED). The system—the Your Knowledgeable Navigator of Treatment ED discharge note generatio… #JAMANetworkOpen
This comparative effectiveness study investigates a large language model designed to assist emergency department physicians with writing discharge notes and evaluates its effectiveness on documentation quality and workflow efficiency compared with manual note writing. #JAMANetworkOpen
This prognostic study evaluates a meta-model that integrates logits from different existing predictive models combined with patient-specific features to predict anastomotic leakage risk after colorectal surgery. #JAMANetworkOpen
Despite decades of research and the proposal of numerous risk scores and prediction models, reliably identifying patients at risk for anastomotic leakage (AL) remains challenging—even for experienced surgeons. 1 , 2 AL contributes substantially to postoperative morbidity, mortality… #JAMANetworkOpen
This randomized clinical trial evaluates the effectiveness of a sodium reduction program incorporating a genetic profile and an artificial intelligence (AI)–based mobile app at reducing salt intake among adults with elevated blood pressure and a sodium-sensitive genotype. #JAMANetworkOpen
#BreastCancerResearch #AdjuvantTherapy #CancerOutcomes #OncologyResearch #RadiationTherapy #CancerTreatment #MSKResearch #ClinicalOncology #CancerSurvivorship #MSKInnovation #JAMANetworkOpen
This randomized clinical trial compares the relative efficacy of a hybrid chatbot delivering tailored interventions and providing real-time answers with a chatbot delivering the standard intervention to increase pneumococcal vaccination uptake among adults 65 years of age or older.… #JAMANetworkOpen
Accurate diagnosis of glomerular diseases remains essential for guiding patient treatment yet remains challenging in many complex cases. This study by Ma et al 1 presents a promising digital pathology tool using transmission electron microscopy (TEM) images, known as TEM-AID. This … #JAMANetworkOpen
This diagnostic study describes the development and validation of an artificial intelligence (AI) model using transmission electron microscopy for the diagnosis of glomerular disease. #JAMANetworkOpen
This systematic review and meta-analysis investigates the performance of artificial intelligence (AI) algorithms in detecting sexually transmitted infections and anogenital dermatoses from clinical images. #JAMANetworkOpen
This trial protocol describes a randomized clinical trial to assess artificial intelligence (AI)–driven clinical decision support in reducing hospital-acquired venous thromboembolism incidence in hospitalized adults across urban and rural settings in Tennessee. #JAMANetworkOpen
This cross-sectional study investigates the association of artificial intelligence (AI)–enhanced analysis of geospatial built environment images with estimates of neighborhood obesity prevalence. #JAMANetworkOpen
This quality improvement study investigates the association of demographic characteristics with large language model–generated recommendations for simulated gastroenterology clinic cases. #JAMANetworkOpen
