Deep learning biomarker of chronometric and biological ischemic stroke lesion age from unenhanced CT

Autor: Adam Marcus, Grant Mair, Liang Chen, Charles Hallett, Claudia Ghezzou Cuervas-Mons, Dylan Roi, Daniel Rueckert, Paul Bentley

Publikováno v: npj Digital Medicine, Vol 7, Iss 1, Pp 1-10 (2024)

Abstract Estimating progression of acute ischemic brain lesions – or biological lesion age - holds huge practical importance for hyperacute stroke management. The current best method for determining lesion age from non-contrast computerised tomogra

Externí odkaz: https://doaj.org/article/06ea3c666d5d48edbee71a41b4f6e4bc

Digitalising the past decades: automated ICD-10 coding of unstructured free text dermatological diagnoses

Autor: Sebastian Sitaru, Fabian Nhan, Christine Gasteiger, Daniel Rueckert, Tilo Biedermann, Alexander Zink

Publikováno v: BMC Health Services Research, Vol 24, Iss 1, Pp 1-8 (2024)

Abstract Background Current digital medical databases record systematically coded diagnoses, but many legacy databases are full of hand-written, free text diagnoses, which can only be meaningfully analysed after mapping them to a coding system. While

Externí odkaz: https://doaj.org/article/5004d057914e4b25be5de7dfa4df66e8

Genetic vulnerability and adverse mental health outcomes following mild traumatic brain injury: a meta-analysis of CENTER-TBI and TRACK-TBI cohortsResearch in context

Autor: Mart Kals, Lindsay Wilson, Daniel F. Levey, Livia Parodi, Ewout W. Steyerberg, Sylvia Richardson, Feng He, Xiaoying Sun, Sonia Jain, Aarno Palotie, Samuli Ripatti, Jonathan Rosand, Geoff T. Manley, Andrew I.R. Maas, Murray B. Stein, David K. Menon, Cecilia Ackerlund, Hadie Adams, Krisztina Amrein, Nada Andelic, Lasse Andreassen, Audny Anke, Anna Antoni, Gérard Audibert, Philippe Azouvi, Maria Luisa Azzolini, Ronald Bartels, Pál Barzó, Romuald Beauvais, Ronny Beer, Bo-Michael Bellander, Antonio Belli, Habib Benali, Maurizio Berardino, Luigi Beretta, Morten Blaabjerg, Peter Bragge, Alexandra Brazinova, Vibeke Brinck, Joanne Brooker, Camilla Brorsson, Andras Buki, Monika Bullinger, Manuel Cabeleira, Alessio Caccioppola, Emiliana Calappi, Maria Rosa Calvi, Peter Cameron, Guillermo Carbayo Lozano, Marco Carbonara, Ana M. Castaño-León, Simona Cavallo, Giorgio Chevallard, Arturo Chieregato, Giuseppe Citerio, Hans Clusmann, Mark Steven Coburn, Jonathan Coles, Jamie D. Cooper, Marta Correia, Amra Čović, Nicola Curry, Endre Czeiter, Marek Czosnyka, Claire Dahyot-Fizelier, Paul Dark, Helen Dawes, Véronique De Keyser, Vincent Degos, Francesco Della Corte, Hugo den Boogert, Bart Depreitere, Đula Đilvesi, Abhishek Dixit, Emma Donoghue, Jens Dreier, Guy-Loup Dulière, Ari Ercole, Patrick Esser, Erzsébet Ezer, Martin Fabricius, Valery L. Feigin, Kelly Foks, Shirin Frisvold, Alex Furmanov, Pablo Gagliardo, Damien Galanaud, Dashiell Gantner, Guoyi Gao, Pradeep George, Alexandre Ghuysen, Lelde Giga, Ben Glocker, Jagoš Golubović, Pedro A. Gomez, Johannes Gratz, Benjamin Gravesteijn, Francesca Grossi, Russell L. Gruen, Deepak Gupta, Juanita A. Haagsma, Iain Haitsma, Raimund Helbok, Eirik Helseth, Lindsay Horton, Jilske Huijben, Peter J. Hutchinson, Bram Jacobs, Stefan Jankowski, Mike Jarrett, Ji-yao Jiang, Faye Johnson, Kelly Jones, Mladen Karan, Angelos G. Kolias, Erwin Kompanje, Daniel Kondziella, Lars-Owe Koskinen, Noémi Kovács, Ana Kowark, Alfonso Lagares, Linda Lanyon, Steven Laureys, Fiona Lecky, Didier Ledoux, Rolf Lefering, Valerie Legrand, Aurelie Lejeune, Leon Levi, Roger Lightfoot, Hester Lingsma, Marc Maegele, Marek Majdan, Alex Manara, Hugues Maréchal, Costanza Martino, Julia Mattern, Charles McFadyen, Catherine McMahon, Béla Melegh, Tomas Menovsky, Ana Mikolic, Benoit Misset, Visakh Muraleedharan, Lynnette Murray, Ancuta Negru, David Nelson, Virginia Newcombe, Daan Nieboer, József Nyirádi, Matej Oresic, Fabrizio Ortolano, Olubukola Otesile, Paul M. Parizel, Jean-François Payen, Natascha Perera, Vincent Perlbarg, Paolo Persona, Wilco Peul, Anna Piippo-Karjalainen, Matti Pirinen, Dana Pisica, Horia Ples, Suzanne Polinder, Inigo Pomposo, Jussi P. Posti, Louis Puybasset, Andreea Rădoi, Arminas Ragauskas, Rahul Raj, Malinka Rambadagalla, Veronika Rehorčíková, Isabel Retel Helmrich, Jonathan Rhodes, Sophie Richter, Saulius Rocka, Cecilie Roe, Olav Roise, Jeffrey Rosenfeld, Christina Rosenlund, Guy Rosenthal, Rolf Rossaint, Sandra Rossi, Daniel Rueckert, Martin Rusnák, Juan Sahuquillo, Oliver Sakowitz, Renan Sanchez-Porras, Janos Sandor, Nadine Schäfer, Silke Schmidt, Herbert Schoechl, Guus Schoonman, Rico Frederik Schou, Elisabeth Schwendenwein, Charlie Sewalt, Ranjit D. Singh, Toril Skandsen, Peter Smielewski, Abayomi Sorinola, Emmanuel Stamatakis, Simon Stanworth, Robert Stevens, William Stewart, Nino Stocchetti, Nina Sundström, Riikka Takala, Viktória Tamás, Tomas Tamosuitis, Mark Steven Taylor, Braden Te Ao, Olli Tenovuo, Alice Theadom, Aurore Thibaut, Matt Thomas, Dick Tibboel, Marjolijn Timmers, Christos Tolias, Tony Trapani, Cristina Maria Tudora, Andreas Unterberg, Peter Vajkoczy, Egils Valeinis, Shirley Vallance, Zoltán Vámos, Mathieu van der Jagt, Joukje van der Naalt, Gregory Van der Steen, Jeroen T.J.M. van Dijck, Inge A. van Erp, Thomas A. van Essen, Wim Van Hecke, Caroline van Heugten, Dominique Van Praag, Ernest van Veen, Roel van Wijk, Thijs Vande Vyvere, Alessia Vargiolu, Emmanuel Vega, Kimberley Velt, Jan Verheyden, Paul M. Vespa, Anne Vik, Rimantas Vilcinis, Victor Volovici, Nicole von Steinbüchel, Daphne Voormolen, Peter Vulekovic, Daniel Whitehouse, Eveline Wiegers, Guy Williams, Stefan Wolf, Zhihui Yang, Peter Ylén, Alexander Younsi, Frederick A. Zeiler, Agate Ziverte, Tommaso Zoerle, Opeolu Adeoye, Neeraj Badjatia, Jason Barber, Michael Bergin, Kim Boase, Yelena Bodien, Randall Chesnut, John Corrigan, Karen Crawford, Ramon Diaz-Arrastia, Sureyya Dikmen, Ann-Christine Duhaime, Richard Ellenbogen, Venkata Feeser, Adam R. Ferguson, Brandon Foreman, Etienne Gaudette, Joseph Giacino, Luis Gonzalez, Shankar Gopinath, Ramesh Grandhi, Rao Gullapalli, Claude Hemphill, Gillian Hotz, Russell Huie, Ruchira Jha, Dirk C. Keene, Ryan Kitagawa, Frederick Korley, Joel Kramer, Natalie Kreitzer, Harvey Levin, Chris Lindsell, Joan Machamer, Christopher Madden, Alastair Martin, Thomas McAllister, Michael McCrea, Randall Merchant, Pratik Mukherjee, Lindsay Nelson, Laura B. Ngwenya, Florence Noel, Amber Nolan, David Okonkwo, Eva Palacios, Daniel Perl, Ava Puccio, Miri Rabinowitz, Claudia Robertson, Richard Ben Rodgers, Eric Rosenthal, Angelle Sander, Danielle Sandsmark, Andrea Schneider, David Schnyer, Seth Seabury, Mark Sherer, Gabriella Sugar, Nancy Temkin, Arthur Toga, Abel Torres-Espin, Alex Valadka, Mary Vassar, Kevin Wang, Vincent Wang, John K. Yue, Esther Yuh, Ross Zafonte

Publikováno v: EClinicalMedicine, Vol 78, Iss , Pp 102956- (2024)

Summary: Background: Post-traumatic stress disorder (PTSD) and depression are common after mild traumatic brain injury (mTBI), but their biological drivers are uncertain. We therefore explored whether polygenic risk scores (PRS) derived for PTSD and

Externí odkaz: https://doaj.org/article/f0d8ef2d159d4becaeed193a67757155

Development and evaluation of machine-learning methods in whole-body magnetic resonance imaging with diffusion weighted imaging for staging of patients with cancer: the MALIBO diagnostic test accuracy study

Autor: Andrea Rockall, Xingfeng Li, Nicholas Johnson, Ioannis Lavdas, Shalini Santhakumaran, A Toby Prevost, Dow-Mu Koh, Shonit Punwani, Vicky Goh, Nishat Bharwani, Amandeep Sandhu, Harbir Sidhu, Andrew Plumb, James Burn, Aisling Fagan, Alf Oliver, Georg J Wengert, Daniel Rueckert, Eric Aboagye, Stuart A Taylor, Ben Glocker

Publikováno v: Efficacy and Mechanism Evaluation, Vol 11, Iss 15 (2024)

Background Whole-body magnetic resonance imaging is accurate, efficient and cost-effective for cancer staging. Machine learning may support radiologists reading whole-body magnetic resonance imaging. Objectives To develop a machine-learning algorithm

Externí odkaz: https://doaj.org/article/5a61b27803d3457d9c3dd18ad9686696

Preserving fairness and diagnostic accuracy in private large-scale AI models for medical imaging

Autor: Soroosh Tayebi Arasteh, Alexander Ziller, Christiane Kuhl, Marcus Makowski, Sven Nebelung, Rickmer Braren, Daniel Rueckert, Daniel Truhn, Georgios Kaissis

Publikováno v: Communications Medicine, Vol 4, Iss 1, Pp 1-12 (2024)

Abstract Background Artificial intelligence (AI) models are increasingly used in the medical domain. However, as medical data is highly sensitive, special precautions to ensure its protection are required. The gold standard for privacy preservation i

Externí odkaz: https://doaj.org/article/5debbebf04fd4e9d94555bf1fa6d9f67