Publications by authors named "G Dahlberg"

Background: Robotic assisted bronchoscopy has been enthusiastically adopted in the United States and has transformed the treatment of patients with indeterminate pulmonary nodules. Unprecedented industry investments in research, development, and marketing have profoundly affected the bronchoscopy landscape, leading to concerns that conflicts of interest could influence the validity of bronchoscopy studies. Disclosures of conflicts of interest in research are predicated on open and transparent self-reporting.

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Background: Predictive eHealth tools will change the field of medicine, however long-term data is scarce. Here, we report findings on data collected over 6 years with an AI-based eHealth system for supporting the treatment of alcohol use disorder.

Methods: Since the deployment of Previct Alcohol, structured data has been archived in a data warehouse, currently comprising 505,641 patient days.

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Background: Diagnostic yield and accuracy endpoints have been used inconsistently in the evaluation of advanced diagnostic bronchoscopy devices and techniques, limiting between-study comparisons. In addition, diagnostic accuracy can be adjudicated only after prolonged clinical follow-up, which delays reporting on the performance of novel devices.

Research Question: Will a conservative diagnostic yield definition result in few false-negative initial results to closely approximate diagnostic accuracy and represent a useful outcome for future studies of diagnostic utility?

Methods: Commonly used definitions of diagnostic yield were applied to a prospective data set of consecutive peripheral pulmonary lesions sampled by navigational bronchoscopy from 2017 to 2019.

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Background: Rapid on-site evaluation (ROSE) is frequently used during diagnostic procedures in patients with or suspected to have lung cancer. There is variation in ROSE use among bronchoscopists, and discussion of ROSE results can have significant consequences for patients. This study was performed to define ROSE practice and result disclosure patterns among bronchoscopists.

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Purpose: eHealth systems allow efficient daily smartphone-based collection of self-reported data on mood, wellbeing, routines, and motivation; however, missing data is frequent. Within addictive disorders, missing data may reflect lack of motivation to stay sober. We hypothesize that qualitative questionnaire data contains valuable information, which after proper handling of missing data becomes more useful for practitioners.

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