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The Impact and Wider Implications of Remote Consultations for General Practice in Norway: Qualitative Study Among Norwegian Contract General Practitioners

The Impact and Wider Implications of Remote Consultations for General Practice in Norway: Qualitative Study Among Norwegian Contract General Practitioners

Gaining more knowledge about the potentials and pitfalls associated with the use of remote consultations in various clinical and organizational contexts is vital. This study is part of a larger project aimed at investigating the ramifications of remote consultations [55]. In an associated paper, we will explore the microlevel dynamics of doctor-patient communication in remote consultation.

Børge Lønnebakke Norberg, Bjarne Austad, Eli Kristiansen, Paolo Zanaboni, Linn Okkenhaug Getz

JMIR Form Res 2024;8:e63068

Hidden Variables in Deep Learning Digital Pathology and Their Potential to Cause Batch Effects: Prediction Model Study

Hidden Variables in Deep Learning Digital Pathology and Their Potential to Cause Batch Effects: Prediction Model Study

Our research on hidden variables aims to highlight that batch effects are not an unlikely occurrence, thereby reinforcing the importance of proper data set construction and experimental design, as well as sensitizing the community toward these and similar pitfalls for the emerging field of DL in DP. Using a proprietary dermatopathological data set of anonymized slides, a series of ML tasks were formulated, where each task investigated the learnability of a certain hidden variable.

Max Josef Schmitt, Roman Christoph Maron, Achim Hekler, Albrecht Stenzinger, Axel Hauschild, Michael Weichenthal, Markus Tiemann, Dieter Krahl, Heinz Kutzner, Jochen Sven Utikal, Sebastian Haferkamp, Jakob Nikolas Kather, Frederick Klauschen, Eva Krieghoff-Henning, Stefan Fröhling, Christof von Kalle, Titus Josef Brinker

J Med Internet Res 2021;23(2):e23436