Stefan Bösner

Diagnostic performance of reproducible chest wall tenderness to rule out acute coronary syndrome in acute chest pain: a prospective diagnostic study

Perceptions toward a pilot project on blended learning in Malaysian family medicine postgraduate training: a qualitative study

Predictive maintenance enabled by machine learning: Use cases and challenges in the automotive industry

A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis

Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): The TRIPOD statement

Students’ online learning challenges during the pandemic and how they cope with them: The case of the Philippines

Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement

Diagnosing acute coronary syndrome in primary care: comparison of the physicians' risk estimation and a clinical decision rule

Calculating the sample size required for developing a clinical prediction model

The sudden transition to synchronized online learning during the COVID-19 pandemic in Saudi Arabia: a qualitative study exploring medical students’ perspectives

Advances in medical education and practice: student perceptions of the flipped classroom

Individual patient data meta-analysis of diagnostic studies: opportunities and challenges

Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD Statement

Use of Expert Panels to Define the Reference Standard in Diagnostic Research: A Systematic Review of Published Methods and Reporting

Flipped classroom improves student learning in health professions education: a meta-analysis

Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies

Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration

The flipped classroom: A review of its advantages and challenges

Research trends in the use of augmented reality in science education: Content and bibliometric mapping analysis

Artificial intelligence, machine learning and deep learning in advanced robotics, a review

Challenges in the online component of blended learning: A systematic review

Artificial Intelligence in Dentistry: Chances and Challenges

The “flipped classroom” approach: Stimulating positive learning attitudes and improving mastery of histology among medical students

2015 ESC Guidelines for the management of acute coronary syndromes in patients presenting without persistent ST-segment elevation

Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans

Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): The TRIPOD Statement

Effect of Data Scaling Methods on Machine Learning Algorithms and Model Performance

Quantitative CT Extent of Lung Damage in COVID-19 Pneumonia Is an Independent Risk Factor for Inpatient Mortality in a Population of Cancer Patients: A Prospective Study

Sex-Specific Chest Pain Characteristics in the Early Diagnosis of Acute Myocardial Infarction

Sensitivity, Specificity, and Sex Differences in Symptoms Reported on the 13‐Item Acute Coronary Syndrome Checklist

Multilayer perceptron based deep neural network for early detection of coronary heart disease

Development and validation of a clinical prediction rule for chest wall syndrome in primary care

Does the patient with chest pain have a coronary heart disease? Diagnostic value of single symptoms and signs – a meta-analysis

Teaching differential diagnosis in primary care using an inverted classroom approach: student satisfaction and gain in skills and knowledge

Ruling out coronary artery disease in primary care: development and validation of a simple prediction rule

Coronary heart disease in primary care: accuracy of medical history and physical findings in patients with chest pain – a study protocol for a systematic review with individual patient data

Accuracy of symptoms and signs for coronary heart disease assessed in primary care

Ruling out coronary heart disease in primary care patients with chest pain: a clinical prediction score

Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty