Search Results - "Veldhuizen, Gregory P."

The future landscape of large language models in medicine by Clusmann, Jan, Kolbinger, Fiona R., Muti, Hannah Sophie, Carrero, Zunamys I., Eckardt, Jan-Niklas, Laleh, Narmin Ghaffari, Löffler, Chiara Maria Lavinia, Schwarzkopf, Sophie-Caroline, Unger, Michaela, Veldhuizen, Gregory P., Wagner, Sophia J., Kather, Jakob Nikolas

“…Large language models (LLMs) are artificial intelligence (AI) tools specifically trained to process and generate text. LLMs attracted substantial public…”
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Confounders of the aldosterone‐to‐renin ratio when used as a screening test in hypertensive patients: A critical analysis of the literature by Veldhuizen, Gregory P., Alnazer, Rawan M., Kroon, Abraham A., Leeuw, Peter W.

“…The aldosterone‐to‐renin ratio (ARR) is a common screening test for primary aldosteronism in hypertensives. However, there are many factors which could…”
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The effect of medication on the aldosterone‐to‐renin ratio. A critical review of the literature by Alnazer, Rawan M., Veldhuizen, Gregory P., Kroon, Abraham A., Leeuw, Peter W.

“…The aldosterone‐to‐renin ratio (ARR) is a common screening test for primary aldosteronism in hypertensives. However, patients often use medications that could…”
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Reporting guidelines in medical artificial intelligence: a systematic review and meta-analysis by Kolbinger, Fiona R., Veldhuizen, Gregory P., Zhu, Jiefu, Truhn, Daniel, Kather, Jakob Nikolas

“…Background The field of Artificial Intelligence (AI) holds transformative potential in medicine. However, the lack of universal reporting guidelines poses…”
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The effect of age, sex and BMI on the aldosterone-to-renin ratio in essential hypertensive individuals by Alnazer, Rawan M., Veldhuizen, Gregory P., de Leeuw, Peter W., Kroon, Abraham A.

“…The aldosterone-to-renin ratio (ARR) is widely used as a screening test for primary aldosteronism, but its determinants in patients with essential hypertension…”
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Reply to 'Could we be missing something when calculating the aldosterone-to-renin ratio?' by Alnazer, Rawan M, Veldhuizen, Gregory P, de Leeuw, Peter W, Kroon, Abraham A

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Variability of aldosterone, renin and the aldosterone-to-renin ratio in hypertensive patients without primary aldosteronism by Veldhuizen, Gregory P., Alnazer, Rawan M., Kroon, Abraham A., de Leeuw, Peter W.

“…Objectives: The aldosterone-to-renin ratio (ARR) is commonly used in the screening of primary aldosteronism. However, limited information is available with…”
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Variable effect of the post-partum menstrual cycle on aldosterone and renin in women with recent preeclampsia by Veldhuizen, Gregory P., Alnazer, Rawan M., Kroon, Abraham A., Spaanderman, Marc E. A., de Leeuw, Peter W.

“…The purpose of the present study is to identify the impact of the postpartum menstrual cycle on aldosterone, renin, and their ratio of women with and without a…”
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The Effects of Verapamil, Hydralazine, and Doxazosin on Renin, Aldosterone, and the Ratio Thereof by Veldhuizen, Gregory P., Alnazer, Rawan M., de Leeuw, Peter W., Kroon, Abraham A.

“…Purpose Hydralazine, doxazosin, and verapamil are currently recommended by the Endocrine Society as acceptable bridging treatment in those in whom full…”
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AI in Computational Pathology of Cancer: Improving Diagnostic Workflows and Clinical Outcomes? by Cifci, Didem, Veldhuizen, Gregory P., Foersch, Sebastian, Kather, Jakob Nikolas

“…Histopathology plays a fundamental role in the diagnosis and subtyping of solid tumors and has become a cornerstone of modern precision oncology…”
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Generalizable biomarker prediction from cancer pathology slides with self-supervised deep learning: A retrospective multi-centric study by Niehues, Jan Moritz, Quirke, Philip, West, Nicholas P., Grabsch, Heike I., van Treeck, Marko, Schirris, Yoni, Veldhuizen, Gregory P., Hutchins, Gordon G.A., Richman, Susan D., Foersch, Sebastian, Brinker, Titus J., Fukuoka, Junya, Bychkov, Andrey, Uegami, Wataru, Truhn, Daniel, Brenner, Hermann, Brobeil, Alexander, Hoffmeister, Michael, Kather, Jakob Nikolas

“…Deep learning (DL) can predict microsatellite instability (MSI) from routine histopathology slides of colorectal cancer (CRC). However, it is unclear whether…”
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Using histopathology latent diffusion models as privacy-preserving dataset augmenters improves downstream classification performance by Niehues, Jan M., Müller-Franzes, Gustav, Schirris, Yoni, Wagner, Sophia Janine, Jendrusch, Michael, Kloor, Matthias, Pearson, Alexander T., Muti, Hannah Sophie, Hewitt, Katherine J., Veldhuizen, Gregory P., Zigutyte, Laura, Truhn, Daniel, Kather, Jakob Nikolas

“…Latent diffusion models (LDMs) have emerged as a state-of-the-art image generation method, outperforming previous Generative Adversarial Networks (GANs) in…”
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Direct image to subtype prediction for brain tumors using deep learning by Hewitt, Katherine J, Löffler, Chiara M L, Muti, Hannah Sophie, Berghoff, Anna Sophie, Eisenlöffel, Christian, van Treeck, Marko, Carrero, Zunamys I, El Nahhas, Omar S M, Veldhuizen, Gregory P, Weil, Sophie, Saldanha, Oliver Lester, Bejan, Laura, Millner, Thomas O, Brandner, Sebastian, Brückmann, Sascha, Kather, Jakob Nikolas

“…Deep Learning (DL) can predict molecular alterations of solid tumors directly from routine histopathology slides. Since the 2021 update of the World Health…”
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The effect of age, sex and BMI on the aldosterone-to-renin ratio in essential hypertensive individuals by Alnazer, Rawan M., Veldhuizen, Gregory P., de Leeuw, Peter W., Kroon, Abraham A.

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Variability of aldosterone, renin and the aldosterone-to-renin ratio in hypertensive patients without primary aldosteronism by Veldhuizen, Gregory P., Alnazer, Rawan M., Kroon, Abraham A., de Leeuw, Peter W.

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Deep learning trained on lymph node status predicts outcome from gastric cancer histopathology: a retrospective multicentric study by Muti, Hannah S., Röcken, Christoph, Behrens, Hans-Michael, Löffler, Chiara M.L., Reitsam, Nic G., Grosser, Bianca, Märkl, Bruno, Stange, Daniel E., Jiang, Xiaofeng, Veldhuizen, Gregory P., Truhn, Daniel, Ebert, Matthias P., Grabsch, Heike I., Kather, Jakob N.

“…Gastric cancer (GC) is a tumour entity with highly variant outcomes. Lymph node metastasis is a prognostically adverse biomarker. We hypothesised that GC…”
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