Personal information

Digital Health, Machine Learning, Medical Image analysis, Infectious diseases
Germany

Activities

Employment (4)

Berlin Institute of Health at Charité - Universitätsmedizin Berlin: Berlin, DE

2023-09-01 to present (Quest Center for Responsible Research)
Employment
Source: Self-asserted source
Jana Fehr

Hasso Plattner Institute: Potsdam, DE

2019-01 to 2023-08-31 | PhD candidate (Digital Health Center)
Employment
Source: Self-asserted source
Jana Fehr

Max Delbrück Center for Molecular Medicine: Berlin, DE

2018-06-01 to 2018-12-31 | PhD student (Statistical Genomics)
Employment
Source: Self-asserted source
Jana Fehr

UniversitätsKlinikum Heidelberg: Heidelberg, Baden-Württemberg, DE

2018-02-01 to 2018-05-22 | Research associate, Computational Biologist (Infectiology)
Employment
Source: Self-asserted source
Jana Fehr

Education and qualifications (2)

University of Potsdam: Potsdam, DE

2019-01-01 to present | PhD (Digital Engineering Faculty, Hasso-Platter-Institute)
Education
Source: Self-asserted source
Jana Fehr

Ruprecht Karls Universität Heidelberg: Heidelberg, Baden-Württemberg, DE

2014-10-01 to 2017-11-30 | Master of Science (Institute of Pharmacy and Molecular Biotechnology)
Education
Source: Self-asserted source
Jana Fehr

Professional activities (1)

ITU/WHO Focus Group Artificial Intelligence for Health: Geneva, CH

2020-01-08 to present
Membership
Source: Self-asserted source
Jana Fehr

Works (12)

Modern perspective of the Rice Diet for hypertension and other metabolic diseases

BMJ Nutrition, Prevention & Health
2024-12 | Journal article
Part of ISSN: 2516-5542
Contributors: Romeo Sommerfeld; Paul Ermler; Jana Fehr; Benjamin Bergner; David Lopez; Scott Sanoff; Francis Neelon; Anthony Kuo; William McDowell; Yi-Ju Li et al.
Source: Self-asserted source
Jana Fehr

Simultaneous alleviation of verification and reference standard biases in a community-based tuberculosis screening study using Bayesian latent class analysis

PLOS ONE
2024-06-10 | Journal article
Contributors: Alfred Kipyegon Keter; Novel Njweipi Chegou; Fiona Vanobberghen; Lutgarde Lynen; Alastair Van Heerden; Jana Fehr; Stephen Olivier; Emily B. Wong; Tracy R. Glass; Klaus Reither et al.
Source: check_circle
Crossref

A trustworthy AI reality-check: the lack of transparency of artificial intelligence products in healthcare

Frontiers in Digital Health
2024-02-20 | Journal article
Part of ISSN: 2673-253X
Contributors: Jana Fehr; Brian Citro; Rohit Malpani; Christoph Lippert; Vince I. Madai
Source: Self-asserted source
Jana Fehr via Crossref Metadata Search

Assessing the transportability of clinical prediction models for cognitive impairment using causal models

BMC Medical Research Methodology
2023-08-19 | Journal article
Part of ISSN: 1471-2288
Contributors: Jana Fehr; Marco Piccininni; Tobias Kurth; Stefan Konigorski
Source: Self-asserted source
Jana Fehr

CAD4TB software updates: different triaging thresholds require caution by users and regulation by authorities

The International Journal of Tuberculosis and Lung Disease
2023-02-01 | Journal article | Formal analysis, Investigation, Visualization, Writing - original draft
Part of ISSN: 1027-3719
Contributors: J. Fehr; R. Gunda; M. J. Siedner; W. Hanekom; T. Ndung´u; A. Grant; C. Lippert; E. B. Wong; Jana Fehr
Source: Self-asserted source
Jana Fehr

Piloting a Survey-Based Assessment of Transparency and Trustworthiness with Three Medical AI Tools

Healthcare
2022-09-30 | Journal article
Contributors: Jana Fehr; Giovanna Jaramillo-Gutierrez; Luis Oala; Matthias I. Gröschel; Manuel Bierwirth; Pradeep Balachandran; Alixandro Werneck-Leite; Christoph Lippert
Source: check_circle
Crossref

“Similar performances but markedly different triaging thresholds in three CAD4TB versions risk systematic errors in TB screening programs”

2022-04-29 | Preprint
Contributors: Jana Fehr; Emily B. Wong
Source: check_circle
Crossref

Assessing the transportability of clinical prediction models for cognitive impairment using causal models

2022-03-02 | Preprint
Contributors: Jana Fehr; Marco Piccininni; Tobias Kurth; Stefan Konigorski
Source: check_circle
Crossref

Machine Learning for Health: Algorithm Auditing & Quality Control

Journal of Medical Systems
2021-10 | Journal article
Part of ISSN: 0148-5598
Part of ISSN: 1573-689X
Source: Self-asserted source
Jana Fehr

Computer-aided interpretation of chest radiography reveals the spectrum of tuberculosis in rural South Africa

npj Digital Medicine
2021-07-02 | Journal article
Contributors: Jana Fehr; Stefan Konigorski; Stephen Olivier; Resign Gunda; Ashmika Surujdeen; Dickman Gareta; Theresa Smit; Kathy Baisley; Sashen Moodley; Yumna Moosa et al.
Source: check_circle
Crossref
grade
Preferred source (of 4)‎

ML4H Auditing: From Paper to Practice

Proceedings of the Machine Learning for Health NeurIPS Workshop
2020-12-11 | Conference paper | Writing - review & editing, Formal analysis
Contributors: Jana Fehr
Source: Self-asserted source
Jana Fehr

Experimental and computational analyses reveal that environmental restrictions shape HIV-1 spread in 3D cultures

Nature communications
2019-05 | Journal article
Part of ISSN: 2041-1723
Source: Self-asserted source
Jana Fehr