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Article
Open AccessComparison of clinical outcomes in hospitalized patients with COVID-19 or non-COVID-19 community-acquired pneumonia in a prospective observational cohort study
Coronavirus disease 2019 (COVID-19) and non-COVID-19 community-acquired pneumonia (NC-CAP) often result in hospitalization with considerable risks of mortality, ICU treatment, and long-term morbidity. A compar...
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Article
Open AccessClinical evaluation of a web-based personalized recommendation system with electronic health record interface to optimize healthcare resources during SARS-CoV-2 surges
During the SARS-CoV-2 pandemic, the German healthcare system faced challenges of efficiently allocating testing resources. To address this, we developed an open-source personalized recommendation system (PRS) ...
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Article
Open AccessCollaborative strategies for deploying AI-based physician decision support systems: challenges and deployment approaches
AI-based prediction models demonstrate equal or surpassing performance compared to experienced physicians in various research settings. However, only a few have made it into clinical practice. Further, there i...
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Article
Open AccessBias in AI-based models for medical applications: challenges and mitigation strategies
Artificial intelligence systems are increasingly being applied to healthcare. In surgery, AI applications hold promise as tools to predict surgical outcomes, assess technical skills, or guide surgeons intraope...
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Article
Open AccessDigital health technology in clinical trials
Digital health technologies (DHTs) have brought several significant improvements to clinical trials, enabling real-world data collection outside of the traditional clinical context and more patient-centered ap...
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Article
Open AccessIdentifying vulnerable populations in the electronic Framingham Heart Study to improve digital device adherence
The usage of digital devices in clinical and research settings has rapidly increased. Despite their promise, optimal use of these devices is often hampered by low adherence. The relevant factors predictive of ...
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Article
Open AccessA deep-learning algorithm to classify skin lesions from mpox virus infection
Undetected infection and delayed isolation of infected individuals are key factors driving the monkeypox virus (now termed mpox virus or MPXV) outbreak. To enable earlier detection of MPXV infection, we develo...
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Article
Open AccessThe industry impact of the American Medical Association’s Digital Medicine Payment Advisory Group (DMPAG)
Digital medicine interventions are currently transforming health care and have created new efficiencies in the delivery process. The business model along with physician payment models are crucial drivers for t...
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Article
Nachweis positiver Versorgungseffekte von digitalen Gesundheitsanwendungen – methodische Herausforderungen und Lösungsansätze
Seit 2020 sind digitale Gesundheitsanwendungen (DiGA) nach Durchlaufen eines Zulassungsverfahrens durch das Bundesinstitut für Arzneimittel und Medizinprodukte (BfArM) zulasten der gesetzlichen Krankenversiche...
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A web-based app to provide personalized recommendations for COVID-19
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Article
Praktische Anwendung digitaler Gesundheitsanwendungen (DiGA) in der Inneren Medizin
Seit September 2020 können Ärzte digitale Gesundheitsanwendungen (DiGA), umgangssprachlich auch „App auf Rezept“ genannt, zulasten der gesetzlichen Krankenversicherung verordnen, wenn diese vom Bundesinstitut ...
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Article
Open AccessClinical and virological characteristics of hospitalised COVID-19 patients in a German tertiary care centre during the first wave of the SARS-CoV-2 pandemic: a prospective observational study
Adequate patient allocation is pivotal for optimal resource management in strained healthcare systems, and requires detailed knowledge of clinical and virological disease trajectories. The purpose of this work...
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Open AccessStudying the pathophysiology of coronavirus disease 2019: a protocol for the Berlin prospective COVID-19 patient cohort (Pa-COVID-19)
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has spread worldwide causing a global health emergency. Pa-COVID-19 aims to provide comprehensive data on clinical course, pathophysiology, immunolo...
