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View article: A new technique to retrieve aerosol vertical profiles using micropulse lidar and ground-based aerosol measurements
A new technique to retrieve aerosol vertical profiles using micropulse lidar and ground-based aerosol measurements Open
Accurately characterizing the vertical distribution of aerosols and their cloud-forming properties is crucial for understanding aerosol-cloud interactions and their impact on climate. This study presents a novel technique for retrieving ve…
View article: Beyond Insulin: Emerging Therapies for Type 1 Diabetes
Beyond Insulin: Emerging Therapies for Type 1 Diabetes Open
Type 1 diabetes is a complex polygenetic disease that results from the immune system attacking and destroying the insulin-secreting -cells in the pancreas. This irreversible destruction results in an absolute insulin deficiency, disrupting…
View article: Variability in Ice Nucleating Particles Across Greater Houston Texas
Variability in Ice Nucleating Particles Across Greater Houston Texas Open
The concentration and cloud‐forming potential of a region's ice nucleating particle (INP) population have uncertain impacts on deep convective clouds. Specifically, ice nucleating particles (INPs) may affect various cloud properties relate…
View article: Mapping the research on foreign language boredom: A systematic literature review
Mapping the research on foreign language boredom: A systematic literature review Open
Recent years have witnessed growing attention to foreign language boredom and its effects on language acquisition, but there still lacks a systematic review in this field. This paper aims to address this gap and presents a systematic revie…
View article: Characterizing Greater Houston's Aerosol by Air Mass During TRACER
Characterizing Greater Houston's Aerosol by Air Mass During TRACER Open
During the TRacking Aerosol and Convection interaction ExpeRiment (TRACER), a suite of aerosol and cloud measurements were made using the Texas A&M Rapid Onsite Atmospheric Measurement Van (ROAM‐V) mobile instrument platform. Joint ROAM‐V/…
View article: A New Technique to Retrieve Aerosol Vertical Profiles Using Micropulse Lidar and Ground-based Aerosol Measurements
A New Technique to Retrieve Aerosol Vertical Profiles Using Micropulse Lidar and Ground-based Aerosol Measurements Open
Accurately characterizing the vertical distribution of aerosols and their cloud-forming properties is crucial for understanding aerosol-cloud interactions and their impact on climate. This study presents a novel technique for retrieving ve…
View article: TAMU TRACER: Targeted Mobile Measurements to Isolate the Impacts of Aerosols and Meteorology on Deep Convection
TAMU TRACER: Targeted Mobile Measurements to Isolate the Impacts of Aerosols and Meteorology on Deep Convection Open
Difficulty in using observations to isolate the impacts of aerosols from meteorology on deep convection often stems from the inability to resolve the spatiotemporal variations in the environment serving as the storm’s inflow region. During…
View article: Redefining Rare Disease Care in the Digital Age: Insights and Key Takeaways from a Digital Health Symposium Focused on Empowering Rare Disease Communities
Redefining Rare Disease Care in the Digital Age: Insights and Key Takeaways from a Digital Health Symposium Focused on Empowering Rare Disease Communities Open
At the Stanford-UCB Rare Disease Digital Health Symposium held in Stanford, California, on September 8, 2023, researchers, clinicians, payers, thought leaders, and rare disease caregivers and advocates discussed the current state of care d…
View article: Effectiveness of an Artificial Intelligence–Enabled Intervention for Detecting Clinical Deterioration
Effectiveness of an Artificial Intelligence–Enabled Intervention for Detecting Clinical Deterioration Open
Importance Inpatient clinical deterioration is associated with substantial morbidity and mortality but may be easily missed by clinicians. Early warning scores have been developed to alert clinicians to patients at high risk of clinical de…
View article: Design and Implementation of an Electronic Health Record‐Integrated Hypertension Management Application
Design and Implementation of an Electronic Health Record‐Integrated Hypertension Management Application Open
Background High blood pressure affects approximately 116 million adults in the United States. It is the leading risk factor for death and disability across the world. Unfortunately, over the past decade, hypertension control rates have dec…
View article: Texas A&M University Mobile Facility Measurements during TRACER (Field Campaign Report)
Texas A&M University Mobile Facility Measurements during TRACER (Field Campaign Report) Open
One of the main goals of the U.S Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Tracking Aerosol Convection Interactions Experiment (TRACER) near Houston, Texas is to improve understanding of how meteorology and aerosol…
View article: Ice Nucleation Measurements during TRACER (Field Campaign Report)
Ice Nucleation Measurements during TRACER (Field Campaign Report) Open
This campaign, Ice Nucleation Measurements during TRACER, was conducted during the TRacking Aerosol Convection Interactions ExpeRiment (TRACER) in Houston, Texas during June-September, 2022. Specifically, our ice nucleation campaign was de…
View article: How Chatbots and Large Language Model Artificial Intelligence Systems Will Reshape Modern Medicine
How Chatbots and Large Language Model Artificial Intelligence Systems Will Reshape Modern Medicine Open
Our website uses cookies to enhance your experience. By continuing to use our site, or clicking "Continue," you are agreeing to our Cookie Policy | Continue JAMA Internal Medicine HomeNew OnlineCurrent IssueFor Authors Podcast Journals JAM…
View article: Hypophosphatemia, hypokalaemia and rhabdomyolysis associated with a panic attack
Hypophosphatemia, hypokalaemia and rhabdomyolysis associated with a panic attack Open
Panic attacks have been associated with hypophosphatemia, which can lead to numerous complications if unrecognised. Here, we present the case of an otherwise-healthy man in his 20s who experienced a panic attack accompanied by hypophosphat…
View article: Instability in clinical risk stratification models using deep learning
Instability in clinical risk stratification models using deep learning Open
While it has been well known in the ML community that deep learning models suffer from instability, the consequences for healthcare deployments are under characterised. We study the stability of different model architectures trained on ele…
View article: Team is brain: leveraging EHR audit log data for new insights into acute care processes
Team is brain: leveraging EHR audit log data for new insights into acute care processes Open
Objective To determine whether novel measures of contextual factors from multi-site electronic health record (EHR) audit log data can explain variation in clinical process outcomes. Materials and Methods We selected one widely-used process…
View article: User-centred design for machine learning in health care: a case study from care management
User-centred design for machine learning in health care: a case study from care management Open
Objectives Few machine learning (ML) models are successfully deployed in clinical practice. One of the common pitfalls across the field is inappropriate problem formulation: designing ML to fit the data rather than to address a real-world …
View article: Considerations in the reliability and fairness audits of predictive models for advance care planning
Considerations in the reliability and fairness audits of predictive models for advance care planning Open
Multiple reporting guidelines for artificial intelligence (AI) models in healthcare recommend that models be audited for reliability and fairness. However, there is a gap of operational guidance for performing reliability and fairness audi…
View article: Considerations in the Reliability and Fairness Audits of Predictive Models for Advance Care Planning
Considerations in the Reliability and Fairness Audits of Predictive Models for Advance Care Planning Open
Multiple reporting guidelines for artificial intelligence (AI) models in healthcare recommend that models be audited for reliability and fairness. However, there is a gap of operational guidance for performing reliability and fairness audi…
View article: Building a Learning Health System: Creating an Analytical Workflow for Evidence Generation to Inform Institutional Clinical Care Guidelines
Building a Learning Health System: Creating an Analytical Workflow for Evidence Generation to Inform Institutional Clinical Care Guidelines Open
Background One key aspect of a learning health system (LHS) is utilizing data generated during care delivery to inform clinical care. However, institutional guidelines that utilize observational data are rare and require months to create, …
View article: Predicting and Responding to Clinical Deterioration in Hospitalized Patients by Using Artificial Intelligence: Protocol for a Mixed Methods, Stepped Wedge Study
Predicting and Responding to Clinical Deterioration in Hospitalized Patients by Using Artificial Intelligence: Protocol for a Mixed Methods, Stepped Wedge Study Open
Background The early identification of clinical deterioration in patients in hospital units can decrease mortality rates and improve other patient outcomes; yet, this remains a challenge in busy hospital settings. Artificial intelligence (…
View article: Development and Implementation of a Real-time Bundle-adherence Dashboard for Central Line-associated Bloodstream Infections
Development and Implementation of a Real-time Bundle-adherence Dashboard for Central Line-associated Bloodstream Infections Open
Introduction: Central line-associated bloodstream infections (CLABSIs) are the most common hospital-acquired infection in pediatric patients. High adherence to the CLABSI bundle mitigates CLABSIs. At our institution, there did not exist a …
View article: Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World
Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World Open
As COVID-19 hounds the world, the common cause of finding a swift solution to manage the pandemic has brought together researchers, institutions, governments, and society at large. The Internet of Things (IoT), artificial intelligence (AI)…
View article: Rethinking PICO in the Machine Learning Era: ML-PICO
Rethinking PICO in the Machine Learning Era: ML-PICO Open
Background Machine learning (ML) has captured the attention of many clinicians who may not have formal training in this area but are otherwise increasingly exposed to ML literature that may be relevant to their clinical specialties. ML pap…
View article: A framework for making predictive models useful in practice
A framework for making predictive models useful in practice Open
Objective To analyze the impact of factors in healthcare delivery on the net benefit of triggering an Advanced Care Planning (ACP) workflow based on predictions of 12-month mortality. Materials and Methods We built a predictive model of 12…