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Your search keyword '"Krestin, Gabriel P."' showing total 11 results
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11 results on '"Krestin, Gabriel P."'

2. FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

Author

Lekadir, Karim, Feragen, Aasa, Fofanah, Abdul Joseph, Frangi, Alejandro F, Buyx, Alena, Emelie, Anais, Lara, Andrea, Porras, Antonio R, Chan, An-Wen, Navarro, Arcadi, Glocker, Ben, Botwe, Benard O, Khanal, Bishesh, Beger, Brigit, Wu, Carol C, Cintas, Celia, Langlotz, Curtis P, Rueckert, Daniel, Mzurikwao, Deogratias, Fotiadis, Dimitrios I, Zhussupov, Doszhan, Ferrante, Enzo, Meijering, Erik, Weicken, Eva, González, Fabio A, Asselbergs, Folkert W, Prior, Fred, Krestin, Gabriel P, Collins, Gary, Tegenaw, Geletaw S, Kaissis, Georgios, Misuraca, Gianluca, Tsakou, Gianna, Dwivedi, Girish, Kondylakis, Haridimos, Jayakody, Harsha, Woodruf, Henry C, Mayer, Horst Joachim, Aerts, Hugo JWL, Walsh, Ian, Chouvarda, Ioanna, Buvat, Irène, Tributsch, Isabell, Rekik, Islem, Duncan, James, Kalpathy-Cramer, Jayashree, Zahir, Jihad, Park, Jinah, Mongan, John, Gichoya, Judy W, Schnabel, Julia A, Kushibar, Kaisar, Riklund, Katrine, Mori, Kensaku, Marias, Kostas, Amugongo, Lameck M, Fromont, Lauren A, Maier-Hein, Lena, Alberich, Leonor Cerdá, Rittner, Leticia, Phiri, Lighton, Marrakchi-Kacem, Linda, Donoso-Bach, Lluís, Martí-Bonmatí, Luis, Cardoso, M Jorge, Bobowicz, Maciej, Shabani, Mahsa, Tsiknakis, Manolis, Zuluaga, Maria A, Bielikova, Maria, Fritzsche, Marie-Christine, Camacho, Marina, Linguraru, Marius George, Wenzel, Markus, De Bruijne, Marleen, Tolsgaard, Martin G, Ghassemi, Marzyeh, Ashrafuzzaman, Md, Goisauf, Melanie, Yaqub, Mohammad, Abadía, Mónica Cano, Mahmoud, Mukhtar M E, Elattar, Mustafa, Rieke, Nicola, Papanikolaou, Nikolaos, Lazrak, Noussair, Díaz, Oliver, Salvado, Olivier, Pujol, Oriol, Sall, Ousmane, Guevara, Pamela, Gordebeke, Peter, Lambin, Philippe, Brown, Pieta, Abolmaesumi, Purang, Dou, Qi, Lu, Qinghua, Osuala, Richard, Nakasi, Rose, Zhou, S Kevin, Napel, Sandy, Colantonio, Sara, Albarqouni, Shadi, Joshi, Smriti, Carter, Stacy, Klein, Stefan, Petersen, Steffen E, Aussó, Susanna, Awate, Suyash, Raviv, Tammy Riklin, Cook, Tessa, Mutsvangwa, Tinashe E M, Rogers, Wendy A, Niessen, Wiro J, Puig-Bosch, Xènia, Zeng, Yi, Mohammed, Yunusa G, Aquino, Yves Saint James, Salahuddin, Zohaib, and Starmans, Martijn P A

Subjects
Computer Science - Computers and Society, Computer Science - Artificial Intelligence, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, I.2.0, I.4.0, I.5.0
Abstract

Despite major advances in artificial intelligence (AI) for medicine and healthcare, the deployment and adoption of AI technologies remain limited in real-world clinical practice. In recent years, concerns have been raised about the technical, clinical, ethical and legal risks associated with medical AI. To increase real world adoption, it is essential that medical AI tools are trusted and accepted by patients, clinicians, health organisations and authorities. This work describes the FUTURE-AI guideline as the first international consensus framework for guiding the development and deployment of trustworthy AI tools in healthcare. The FUTURE-AI consortium was founded in 2021 and currently comprises 118 inter-disciplinary experts from 51 countries representing all continents, including AI scientists, clinicians, ethicists, and social scientists. Over a two-year period, the consortium defined guiding principles and best practices for trustworthy AI through an iterative process comprising an in-depth literature review, a modified Delphi survey, and online consensus meetings. The FUTURE-AI framework was established based on 6 guiding principles for trustworthy AI in healthcare, i.e. Fairness, Universality, Traceability, Usability, Robustness and Explainability. Through consensus, a set of 28 best practices were defined, addressing technical, clinical, legal and socio-ethical dimensions. The recommendations cover the entire lifecycle of medical AI, from design, development and validation to regulation, deployment, and monitoring. FUTURE-AI is a risk-informed, assumption-free guideline which provides a structured approach for constructing medical AI tools that will be trusted, deployed and adopted in real-world practice. Researchers are encouraged to take the recommendations into account in proof-of-concept stages to facilitate future translation towards clinical practice of medical AI.

Published
2023

5. A Prospective Multicenter Comparison Study of Risk-adapted Ultrasound-directed and Magnetic Resonance Imaging–directed Diagnostic Pathways for Suspected Prostate Cancer in Biopsy-naïve Men

Author

Wagensveld, Ivo M., Osses, Daniel F., Groenendijk, Pieter M., Zijta, Frank M., Busstra, Martijn B., Rociu, Elena, Barentsz, Jelle O., Michiel Sedelaar, J.P., Arbeel, Berber, Roeleveld, Ton, Geenen, Remy, Koeter, Ingrid, van der Meer, Saskia A., Cappendijk, Vincent, Somford, Rik, Klaver, Sjoerd, Van der Lely, Hans, Wolters, Tineke, Hellings, Willem, Leter, Maicle R., Van der Poel, Henk G., Heijmink, Stijn W.T.P.J., Debruyne, Frans, Immerzeel, Jos, Leijte, Joost, van Roermund, Joep, Miclea, Razvan, Planken, Erik, Vis, André N., Jan de Jong, Igle, Tijsterman, Jasper, Wolterbeek, Derk, Claessen, Anoesjka, Vrijhof, Eric, Nederend, Joost, Van Leenders, Geert J.L.H., Bangma, Chris H., Krestin, Gabriel P., Remmers, Sebastiaan, and Schoots, Ivo G.

Published
2022
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7. Effect of routine preoperative screening for aortic calcifications using noncontrast computed tomography on stroke rate in cardiac surgery: the randomized controlled CRICKET study

Author

Knol, Wiebe G., Simon, Judit, Den Harder, Annemarie M., Bekker, Margreet W. A., Suyker, Willem J. L., de Heer, Linda M., de Jong, Pim A., Leiner, Tim, Merkely, Béla, Pólos, Miklós, Krestin, Gabriel P., Boersma, Eric, Koudstaal, Peter J., Maurovich-Horvat, Pál, Bogers, Ad J. J. C., and Budde, Ricardo P. J.

Published
2022
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8. Integrative diagnostics:the time is now—a report from the International Society for Strategic Studies in Radiology

Author

Beauchamp, Norman J., Bryan, R. Nick, Bui, Marilyn M., Krestin, Gabriel P., McGinty, Geraldine B., Meltzer, Carolyn C., Neumaier, Michael, Beauchamp, Norman J., Bryan, R. Nick, Bui, Marilyn M., Krestin, Gabriel P., McGinty, Geraldine B., Meltzer, Carolyn C., and Neumaier, Michael

Abstract

Abstract: Enormous recent progress in diagnostic testing can enable more accurate diagnosis and improved clinical outcomes. Yet these tests are increasingly challenging and frustrating; the volume and diversity of results may overwhelm the diagnostic acumen of even the most dedicated and experienced clinician. Because they are gathered and processed within the “silo” of each diagnostic discipline, diagnostic data are fragmented, and the electronic health record does little to synthesize new and existing data into usable information. Therefore, despite great promise, diagnoses may still be incorrect, delayed, or never made. Integrative diagnostics represents a vision for the future, wherein diagnostic data, together with clinical data from the electronic health record, are aggregated and contextualized by informatics tools to direct clinical action. Integrative diagnostics has the potential to identify correct therapies more quickly, modify treatment when appropriate, and terminate treatment when not effective, ultimately decreasing morbidity, improving outcomes, and avoiding unnecessary costs. Radiology, laboratory medicine, and pathology already play major roles in medical diagnostics. Our specialties can increase the value of our examinations by taking a holistic approach to their selection, interpretation, and application to the patient’s care pathway. We have the means and rationale to incorporate integrative diagnostics into our specialties and guide its implementation in clinical practice. Graphic abstract: [Figure not available: see fulltext.].

Published
2023

9. Incidental findings on routine preoperative noncontrast chest computed tomography and chest radiography prior to cardiac surgery in the multicenter randomized controlled CRICKET study

Author

Researchgr. Cardiovasculaire Radiologie, CTC, MS Radiologie, Circulatory Health, Knol, Wiebe G, den Harder, Annemarie M, de Heer, Linda M, Benke, Kálmán, Maurovich-Horvat, Pál, Leiner, Tim, Merkely, Béla, Krestin, Gabriel P, Bogers, Ad J J C, Budde, Ricardo P J, Researchgr. Cardiovasculaire Radiologie, CTC, MS Radiologie, Circulatory Health, Knol, Wiebe G, den Harder, Annemarie M, de Heer, Linda M, Benke, Kálmán, Maurovich-Horvat, Pál, Leiner, Tim, Merkely, Béla, Krestin, Gabriel P, Bogers, Ad J J C, and Budde, Ricardo P J

Published
2023

11. Incidental findings on routine preoperative noncontrast chest computed tomography and chest radiography prior to cardiac surgery in the multicenter randomized controlled CRICKET study

Author

Knol, Wiebe G., primary, den Harder, Annemarie M., additional, de Heer, Linda M., additional, Benke, Kálmán, additional, Maurovich-Horvat, Pál, additional, Leiner, Tim, additional, Merkely, Béla, additional, Krestin, Gabriel P., additional, Bogers, Ad J.J.C., additional, and Budde, Ricardo P.J., additional

Published
2022
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