Publications de Mary-Anne Hartley

InfoKids+: A Validation Study of a Pediatric Acuity Risk Stratification Algorithm

Objective: To prospectively validate InfoKids+, a pediatric acuity electronic risk stratification algorithm (eRSA), against a nurse-based triage standard (nbTS). Participants and Methods: We conducted a prospective validation study in a Swiss university ho ...

2025

Automated Interpretation of Lung Sounds by Deep Learning in Children With Asthma: Scoping Review and Strengths, Weaknesses, Opportunities, and Threats Analysis

Mary-Anne Hartley

Background: The interpretation of lung sounds plays a crucial role in the appropriate diagnosis and management of pediatric asthma. Applying artificial intelligence (AI) to this task has the potential to better standardize assessment and may even improve i ...

2024

PLUS-IS-LESS project: Procalcitonin and Lung UltraSonography-based antibiotherapy in patients with Lower rESpiratory tract infection in Swiss Emergency Departments: study protocol for a pragmatic stepped-wedge cluster-randomized trial

Mary-Anne Hartley

BackgroundLower respiratory tract infections (LRTIs) are among the most frequent infections and a significant contributor to inappropriate antibiotic prescription. Currently, no single diagnostic tool can reliably identify bacterial pneumonia. We thus eval ...

BMC2024

Web-based objective and structured assessment of point-of-care lung ultrasound skills in resource-limited settings

Mary-Anne Hartley

Background: Objective assessment of skills after training is essential for safe implementation of lung point-of-care ultrasound (POCUS). In low-and middle-income countries (LMIC) there is a need for assessment tools without onsite experts to scale up POCUS ...

2024

MultiModN- Multimodal, Multi-Task, Interpretable Modular Networks

Mary-Anne Hartley, Thijs Vogels, Thierry Bossy, Martin Jaggi, Tanja Christina Käser Jacober, Vinitra Swamy, Malika Satayeva, Jibril Albachir Frej

Predicting multiple real-world tasks in a single model often requires a particularly diverse feature space. Multimodal (MM) models aim to extract the synergistic predictive potential of multiple data types to create a shared feature space with aligned sema ...

2023

ePOCT plus and the medAL-suite: Development of an electronic clinical decision support algorithm and digital platform for pediatric outpatients in low- and middle-income countries

Mary-Anne Hartley

Electronic clinical decision support algorithms (CDSAs) have been developed to address high childhood mortality and inappropriate antibiotic prescription by helping clinicians adhere to guidelines. Previously identified challenges of CDSAs include their li ...

PUBLIC LIBRARY SCIENCE2023

Modular Clinical Decision Support Networks (MoDN)-Updatable, interpretable, and portable predictions for evolving clinical environments

Mary-Anne Hartley, Thijs Vogels, Martin Jaggi

Clinical Decision Support Systems (CDSS) have the potential to improve and standardise care with probabilistic guidance. However, many CDSS deploy static, generic rule-based logic, resulting in inequitably distributed accuracy and inconsistent performance ...

PUBLIC LIBRARY SCIENCE2023

Deep learning diagnostic and severity-stratification for interstitial lung diseases and chronic obstructive pulmonary disease in digital lung auscultations and ultrasonography: clinical protocol for an observational case-control study

Jonathan Dönz, Mary-Anne Hartley

BackgroundInterstitial lung diseases (ILD), such as idiopathic pulmonary fibrosis (IPF) and non-specific interstitial pneumonia (NSIP), and chronic obstructive pulmonary disease (COPD) are severe, progressive pulmonary disorders with a poor prognosis. Prom ...

BMC2023

DeepBreath-automated detection of respiratory pathology from lung auscultation in 572 pediatric outpatients across 5 countries

Daniel Mueller, Jonathan Dönz, Mary-Anne Hartley, Juliane Dervaux, Tatjana Chavdarova, Julien Niklas Heitmann, Martin Jaggi, Daniel Hinjos García

The interpretation of lung auscultation is highly subjective and relies on non-specific nomenclature. Computer-aided analysis has the potential to better standardize and automate evaluation. We used 35.9 hours of auscultation audio from 572 pediatric outpa ...

NATURE PORTFOLIO2023

Barriers and facilitators to implementation of point-of-care lung ultrasonography in a tertiary centre in Benin: a qualitative study among general physicians and pneumologists

Mary-Anne Hartley

ObjectivesOwing to its ease-of-use and excellent diagnostic performance for the assessment of respiratory symptoms, point-of-care lung ultrasound (POC-LUS) has emerged as an attractive skill in resource-low settings, where limited access to specialist care ...

BMJ PUBLISHING GROUP2023

Point-of-care lung ultrasonography for early identification of mild COVID-19: a prospective cohort of outpatients in a Swiss screening center

Jean-Yves Meuwly, Mary-Anne Hartley, Jean-Baptiste Francis Marie Juliette Cordonnier, Luca Bosso, Tanguy Espejo, Siméon Schaad

Objectives Early identification of SARS-CoV-2 infection is important to guide quarantine and reduce transmission. This study evaluates the diagnostic performance of lung ultrasound (LUS), an affordable, consumable-free point-of-care tool, for COVID-19 scre ...

BMJ PUBLISHING GROUP2022

Genomic Diversity of Torque Teno Virus in Blood Samples from Febrile Paediatric Outpatients in Tanzania: A Descriptive Cohort Study

Mary-Anne Hartley

Torque teno virus (TTV) is considered to be an ubiquitous member of the commensal human blood virome commonly reported in mixed genotype co-infections. This study investigates the genomic diversity of TTV in blood samples from 816 febrile Tanzanian childre ...

MDPI2022

Point-of-care ultrasound for tuberculosis management in Sub-Saharan Africa-a balanced SWOT analysis

Mary-Anne Hartley

Point-of-care ultrasound (POCUS) is an increasingly accessible skill, allowing for the decentralization of its use to nonspecialist healthcare workers to guide routine clinical decision-making. The advent of ultrasound-on-a-chip has transformed the technol ...

ELSEVIER SCI LTD2022

Is Artificial intelligence as accurate as spirometry in early diagnosis of asthma exacerbation in children ? A prospective study

Mary-Anne Hartley

E M H SWISS MEDICAL PUBLISHERS LTD2022

Ultrasound for point-of-care sputum-free tuberculosis detection: Building collaborative standardized image-banks

Mary-Anne Hartley

ELSEVIER2022

what If...? Pandemic Policy-decision-support to Guide a Cost-benefit-optimised, Country- Specific Response

Mary-Anne Hartley, Thierry Bossy, Tatjana Chavdarova, Prakhar Gupta, Martin Jaggi

Background After 18 months of responding to the COVID-19 pandemic, there is still no agreement on the optimal combination of mitigation strategies. The efficacy and collateral damage of pandemic policies are dependent on constantly evolving viral epidemiol ...

PUBLIC LIBRARY SCIENCE2022

Lung Ultrasonography for Risk Stratification in Patients with Coronavirus Disease 2019 (COVID-19): A Prospective Observational Cohort Study

Jean-Yves Meuwly, Mary-Anne Hartley

Background. Lung ultrasonography (LUS) is a promising pragmatic risk-stratification tool in coronavirus disease 2019 (COVID-19). This study describes and compares LUS characteristics between patients with different clinical outcomes. ...

OXFORD UNIV PRESS INC2021

Deep learning diagnostic and risk-stratification pattern detection for COVID-19 in digital lung auscultations: clinical protocol for a case-control and prospective cohort study

Mary-Anne Hartley, Martin Jaggi

Background Lung auscultation is fundamental to the clinical diagnosis of respiratory disease. However, auscultation is a subjective practice and interpretations vary widely between users. The digitization of auscultation acquisition and interpretation is a ...

2021

Blood virosphere in febrile Tanzanian children

Christian Iseli, Thomas Junier, Nicolas Jean Philippe Guex, Mary-Anne Hartley, Jacques Fellay

Viral infections are the leading cause of childhood acute febrile illnesses motivating consultation in sub-Saharan Africa. The majority of causal viruses are never identified in low-resource clinical settings as such testing is either not part of routine s ...

2021

Weight Erosion: An Update Aggregation Scheme for Personalized Collaborative Machine Learning

Mary-Anne Hartley, Sai Praneeth Reddy Karimireddy, Martin Jaggi, Felix Hans Michel Grimberg

Background. In medicine and other applications, the copying and sharing of data is impractical for a range of well-considered reasons. With federated learning (FL) techniques, machine learning models can be trained on data spread across several locations w ...

Springer, Cham2020