Jana Fehr

Medicine · Health Sciences

10h-index381citations22works10.32yr avg
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Research Topics

Tuberculosis Research and Epidemiology(6), Artificial Intelligence in Healthcare and Education(5), COVID-19 diagnosis using AI(5), Ethics in Clinical Research(3), Machine Learning in Healthcare(3)

Publications22 total

Metric Hub: A metric library and practical selection workflow for use-case-driven data quality assessment in medical AI
ArXiv.org·2026Open Access
Metric Hub: A metric library and practical selection workflow for use-case-driven data quality assessment in medical AI
arXiv (Cornell University)·2026Open Access
Low levels of systemic inflammation in asymptomatic TB detected during community-based screening in rural South Africa
2025Open Access
Peer Review Report For: Championing health systems management with digital innovation and applications in the age of artificial intelligence: protocol for a research program [version 1; peer review: 1 not approved]
2025Open Access
Analyzing the state of robustness in medical imaging AI tools evaluated in Randomized Control Trials
OSF Preprints (OSF Preprints)·2025
Clinical evaluation of computer-aided digital x-ray detection of pulmonary tuberculosis during community-based screening or active case-finding: a case–control study
The Lancet Global Health·2025· 5 citedOpen Access
Modern perspective of the Rice Diet for hypertension and other metabolic diseases
BMJ Nutrition Prevention & Health·2024· 4 citedOpen Access
Simultaneous alleviation of verification and reference standard biases in a community-based tuberculosis screening study using Bayesian latent class analysis
PLoS ONE·2024· 2 citedOpen Access
The unmet promise of trustworthy AI in healthcare: why we fail at clinical translation
Frontiers in Digital Health·2024· 16 citedOpen Access
Simulating rigid head motion artifacts on brain magnitude MRI data–Outcome on image quality and segmentation of the cerebral cortex
PLoS ONE·2024· 5 citedOpen Access
A trustworthy AI reality-check: the lack of transparency of artificial intelligence products in healthcare
Frontiers in Digital Health·2024· 81 citedOpen Access
Assessing the transportability of clinical prediction models for cognitive impairment using causal models
BMC Medical Research Methodology·2023· 14 citedOpen Access
CAD4TB software updates: different triaging thresholds require caution by users and regulation by authorities
The International Journal of Tuberculosis and Lung Disease·2023· 15 citedOpen Access
Piloting a Survey-Based Assessment of Transparency and Trustworthiness with Three Medical AI Tools
Healthcare·2022· 20 citedOpen Access
“Similar performances but markedly different triaging thresholds in three CAD4TB versions risk systematic errors in TB screening programs”
2022· 1 citedOpen Access
Assessing the transportability of clinical prediction models for cognitive impairment using causal models
2022Open Access
Machine Learning for Health: Algorithm Auditing & Quality Control
Journal of Medical Systems·2021· 45 citedOpen Access
Publisher Correction: Computer-aided interpretation of chest radiography reveals the spectrum of tuberculosis in rural South Africa
npj Digital Medicine·2021· 4 citedOpen Access
Computer-aided interpretation of chest radiography reveals the spectrum of tuberculosis in rural South Africa
npj Digital Medicine·2021· 57 citedOpen Access
ML4H Auditing: From Paper to Practice
SERVAL (Université de Lausanne)·2020· 12 citedOpen Access
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Frequent Co-authors

Christoph Lippert(8), Emily Wong(8), Stefan Konigorski(5), Stephen Olivier(5), Willem A. Hanekom(5), Resign Gunda(4), Dickman Gareta(4), Thumbi Ndung’u(4), Alison D. Grant(4), Mark J. Siedner(4), Vince I. Madai(3), Ashmika Surujdeen(3), Theresa Smit(3), Kathy Baisley(3), Sashen Moodley(3), Yumna Moosa(3), Olivier Koole(3), Deenan Pillay(3), Luis Oala(3), Pradeep Balachandran(3)