Prof. Dr. med. Jens Eckstein

Eckstein, Jens. (2023). Artificial intelligence in internal medicine [Journal-article]. Die Innere Medizin, 64(11), 1017–1022. https://doi.org/10.1007/s00108-023-01604-z

Etienne, Samuel, Oliveras, Ruben, Schiboni, Giovanni, Durrer, Lukas, Rochat, Fabien, Eib, Philipp, Zahner, Michele, Osthoff, Michael, Bassetti, Stefano, & Eckstein, Jens. (2023). Free-living core body temperature monitoring using a wrist-worn sensor after COVID-19 booster vaccination: a pilot study. BioMedical Engineering Online, 22. https://doi.org/10.1186/s12938-023-01081-3

Reissenberger, Pamela, Serfözö, Peter, Piper, Diana, Juchler, Norman, Glanzmann, Sara, Gram, Jasmin, Hensler, Karina, Tonidandel, Hannah, Börlin, Elena, D’Souza, Marcus, Badertscher, Patrick, & Eckstein, Jens. (2023). Determine atrial fibrillation burden with a photoplethysmographic mobile sensor: the atrial fibrillation burden trial: detection and quantification of episodes of atrial fibrillation using a cloud analytics service connected to a wearable with photoplethysmographic sensor. European Heart Journal - Digital Health, 4, 402–410. https://doi.org/10.1093/ehjdh/ztad039

Timiliotis J., Blumke B., Serfozo P.D., Gilbert S., Ondresik M., Turk E., Hirsch M.C., & Eckstein J. (2022). A Novel Diagnostic Decision Support System for Medical Professionals: Prospective Feasibility Study. JMIR Formative Research, 6(3). https://doi.org/10.2196/29943

Dorr M., Weber S, Birkemeyer R., Leonardi L., Winterhalder C., Raichle C.J., Brasier N., Burkard T, & Eckstein J. (2021). iPhone App compared with standard blood pressure measurement -The iPARR trial. American Heart Journal, 233, 102–108. https://doi.org/10.1016/j.ahj.2020.12.003