Andre Kumar
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View article: Olfactory Dysfunction After SARS-CoV-2 Infection in the RECOVER Adult Cohort
Olfactory Dysfunction After SARS-CoV-2 Infection in the RECOVER Adult Cohort Open
Importance Olfactory dysfunction is common after SARS-CoV-2 infection and has been associated with cognitive loss in other conditions. Formal testing is needed to characterize the presence, severity, and patterns of olfactory dysfunction. …
View article: Creation of an Open-Access Lung Ultrasound Image Database For Deep Learning and Neural Network Applications
Creation of an Open-Access Lung Ultrasound Image Database For Deep Learning and Neural Network Applications Open
Background: Lung ultrasound (LUS) offers advantages over traditional imaging for diagnosing pulmonary conditions, with superior accuracy compared to chest radiographs and similar performance to CT at lower cost. Despite these benefits, wid…
View article: Limited Echocardiogram Acquisition by Clinicians Aided with Deep Learning: A Randomized Controlled Trial
Limited Echocardiogram Acquisition by Clinicians Aided with Deep Learning: A Randomized Controlled Trial Open
Background Deep learning (DL) programs can aid in the acquisition of echocardiograms by medical professionals not previously trained in sonography, potentially addressing access issues in underserved communities. This study evaluates wheth…
View article: Sex Differences in Long COVID
Sex Differences in Long COVID Open
Importance A substantial number of individuals worldwide experience long COVID, or post-COVID condition. Other postviral and autoimmune conditions have a female predominance, but whether the same is true for long COVID, especially within d…
View article: Limited echocardiogram acquisition by novice clinicians aided with deep learning: A randomized controlled trial
Limited echocardiogram acquisition by novice clinicians aided with deep learning: A randomized controlled trial Open
The global shortage of sonographers has created significant barriers to timely ultrasound diagnostics across medical specialties. Deep learning (DL) algorithms have potential to enhance image acquisition by clinicians without formal sonogr…
View article: Acquisition of Cardiac Point-of-Care Ultrasound Images With Deep Learning
Acquisition of Cardiac Point-of-Care Ultrasound Images With Deep Learning Open
BackgroundPoint-of-care ultrasonography (POCUS) machines may use deep learning, a subfield of artificial intelligence (AI), to improve image interpretation and acquisition in real time. The impact of AI on POCUS learning is unknown.Researc…
View article: Chatbot vs Medical Student Performance on Free-Response Clinical Reasoning Examinations
Chatbot vs Medical Student Performance on Free-Response Clinical Reasoning Examinations Open
This study compares performance on free-response clinical reasoning examinations of first- and second-year medical students vs 2 models of a popular chatbot.
View article: Researching COVID to Enhance Recovery (RECOVER) adult study protocol: Rationale, objectives, and design
Researching COVID to Enhance Recovery (RECOVER) adult study protocol: Rationale, objectives, and design Open
Importance SARS-CoV-2 infection can result in ongoing, relapsing, or new symptoms or other health effects after the acute phase of infection; termed post-acute sequelae of SARS-CoV-2 infection (PASC), or long COVID. The characteristics, pr…
View article: Researching COVID to enhance recovery (RECOVER) adult study protocol: Rationale, objectives, and design
Researching COVID to enhance recovery (RECOVER) adult study protocol: Rationale, objectives, and design Open
Importance SARS-CoV-2 infection can result in ongoing, relapsing, or new symptoms or other health effects after the acute phase of infection; termed post-acute sequelae of SARS-CoV-2 infection (PASC), or long COVID. The characteristics, pr…
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: Use of Artificial Intelligence for Acquisition of Limited Echocardiograms: A Randomized Controlled Trial for Educational Outcomes
Use of Artificial Intelligence for Acquisition of Limited Echocardiograms: A Randomized Controlled Trial for Educational Outcomes Open
Background Point-of-care ultrasound (POCUS) machines may utilize artificial intelligence (AI) to enhance image interpretation and acquisition. This study investigates whether AI-enabled devices improve competency among POCUS novices. Metho…
View article: Performance of ChatGPT on free-response, clinical reasoning exams
Performance of ChatGPT on free-response, clinical reasoning exams Open
Importance Studies show that ChatGPT, a general purpose large language model chatbot, could pass the multiple-choice US Medical Licensing Exams, but the model’s performance on open-ended clinical reasoning is unknown. Objective To determin…
View article: <scp>Point‐of‐Care</scp> Ultrasound Predicts Clinical Outcomes in Patients With <scp>COVID</scp> ‐19
<span>Point‐of‐Care</span> Ultrasound Predicts Clinical Outcomes in Patients With <span>COVID</span> ‐19 Open
Objectives Point‐of‐care ultrasound (POCUS) detects the pulmonary manifestations of COVID‐19 and may predict patient outcomes. Methods We conducted a prospective cohort study at four hospitals from March 2020 to January 2021 to evaluate lu…
View article: Point-of-Care Ultrasound (POCUS) Predicts Clinical Outcomes in Patients with COVID-19
Point-of-Care Ultrasound (POCUS) Predicts Clinical Outcomes in Patients with COVID-19 Open
Introduction Point-of-care ultrasound (POCUS) may detect the cardiopulmonary manifestations of COVID-19 and expediently predict patient outcomes. Methods We conducted a prospective cohort study at four medical centers from 3/2020-1/2021 to…
View article: Lung Ultrasound Findings in Patients Hospitalized With COVID‐19
Lung Ultrasound Findings in Patients Hospitalized With COVID‐19 Open
Objectives Lung ultrasound (LUS) can accurately diagnose several pulmonary diseases, including pneumothorax, effusion, and pneumonia. LUS may be useful in the diagnosis and management of COVID‐19. Methods This study was conducted at two Un…
View article: Interobserver Agreement of Lung Ultrasound Findings of <scp>COVID</scp> ‐19
Interobserver Agreement of Lung Ultrasound Findings of <span>COVID</span> ‐19 Open
Background Lung ultrasound (LUS) has received considerable interest in the clinical evaluation of patients with COVID‐19. Previously described LUS manifestations for COVID‐19 include B‐lines, consolidations, and pleural thickening. The int…
View article: Handheld Ultrasound Device Usage and Image Acquisition Ability Among Internal Medicine Trainees: A Randomized Trial
Handheld Ultrasound Device Usage and Image Acquisition Ability Among Internal Medicine Trainees: A Randomized Trial Open
Background There is insufficient knowledge about how personal access to handheld ultrasound devices (HUDs) improves trainee learning with point-of-care ultrasound (POCUS). Objective To assess whether HUDs, alongside a yearlong lecture seri…
View article: Interobserver Agreement of Lung Ultrasound Findings of COVID-19
Interobserver Agreement of Lung Ultrasound Findings of COVID-19 Open
Background Lung ultrasound (LUS) may be used in the diagnostic evaluation of patients with COVID-19. An abnormal LUS is associated with increased risk for ICU admission in COVID-19. Previously described LUS manifestations for COVID-19 incl…
View article: OrderRex clinical user testing: a randomized trial of recommender system decision support on simulated cases
OrderRex clinical user testing: a randomized trial of recommender system decision support on simulated cases Open
Objective To assess usability and usefulness of a machine learning-based order recommender system applied to simulated clinical cases. Materials and Methods 43 physicians entered orders for 5 simulated clinical cases using a clinical order…
View article: Lung Ultrasound Findings in Patients Hospitalized with Covid-19
Lung Ultrasound Findings in Patients Hospitalized with Covid-19 Open
Introduction Point-of-care ultrasound (POCUS) has the potential to transform healthcare delivery in the era of COVID-19 with its diagnostic and therapeutic expediency. It can be performed by clinicians already at the bedside, which permits…
View article: Timing and Predictors of Subspecialty Career Choice Among Internal Medicine Residents: A Retrospective Cohort Study
Timing and Predictors of Subspecialty Career Choice Among Internal Medicine Residents: A Retrospective Cohort Study Open
Background Internal medicine residents face numerous career options after residency training. Little is known about when residents make their final career choice. Objective We assessed the timing and predictive factors of final career choi…
View article: Usability of a Machine-Learning Clinical Order Recommender System Interface for Clinical Decision Support and Physician Workflow
Usability of a Machine-Learning Clinical Order Recommender System Interface for Clinical Decision Support and Physician Workflow Open
Objective To determine whether clinicians will use machine learned clinical order recommender systems for electronic order entry for simulated inpatient cases, and whether such recommendations impact the clinical appropriateness of the ord…
View article: Physician Usage and Acceptance of a Machine Learning Recommender System for Simulated Clinical Order Entry.
Physician Usage and Acceptance of a Machine Learning Recommender System for Simulated Clinical Order Entry. Open
Clinical decision support tools that automatically disseminate patterns of clinical orders have the potential to improve patient care by reducing errors of omission and streamlining physician workflows. However, it is unknown if physicians…
View article: An Internal Medicine Residency Hospitalist Pathway: A 2-year Follow Up
An Internal Medicine Residency Hospitalist Pathway: A 2-year Follow Up Open
This article was migrated. The article was not marked as recommended. Purpose: The Stanford Hospitalist Advanced Practice and Education (SHAPE) Program was established in 2015 as a hospital medicine training track within an academic intern…