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Commercially-available AI algorithm improves radiologists’ sensitivity for wrist and hand fracture detection on X-ray, compared to a CT-based ground truth
Jacques, Thibaut, Cardot, Nicolas, Ventre, Jeanne, Demondion, Xavier, Cotten, Anne
Published in European radiology (01.05.2024)
Published in European radiology (01.05.2024)
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Journal Article
Optimizing Disease Diagnosis and Treatment Through AI and Deep Learning Algorithms
Vedula, Jagadeesh, Kakani, Tapankumar A., Gupta, Rahul, Mohammed, Muneeruddin, Hudani, Karim, Logeshwaran, J.
Published in 2025 6th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV) (17.06.2025)
Published in 2025 6th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV) (17.06.2025)
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Conference Proceeding
8.G. Skills building seminar: AI for public health dummies – overview and a benchmark algorithm: Random Forests
Published in European journal of public health
(20.10.2021)
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Journal Article
A Pilot Study on Using an Artificial Intelligence Algorithm to Identify Urolith Composition through Abdominal Radiographs in the Dog
Canejo‐Teixeira, Rute, Carvalho, Mariana, Semião Teixeira, Gil, Lima, Ana, Crowell, Chris, Kwok, Jack, Lulich, Jody, Kirpensteijn, Jolle, Grosso, Federico Vilaplana
Published in Veterinary radiology & ultrasound (01.03.2025)
Published in Veterinary radiology & ultrasound (01.03.2025)
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Journal Article
Integrating AI and ML in Myelodysplastic Syndrome Diagnosis: State-of-the-Art and Future Prospects
Elshoeibi, Amgad Mohamed, Badr, Ahmed, Elsayed, Basel, Metwally, Omar, Elshoeibi, Raghad, Elhadary, Mohamed Ragab, Elshoeibi, Ahmed, Attya, Mohamed Amro, Khadadah, Fatima, Alshurafa, Awni, Alhuraiji, Ahmad, Yassin, Mohamed
Published in Cancers (22.12.2023)
Published in Cancers (22.12.2023)
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Journal Article
Validation of a machine learning algorithm for early severe sepsis prediction: a retrospective study predicting severe sepsis up to 48 h in advance using a diverse dataset from 461 US hospitals
Burdick, Hoyt, Pino, Eduardo, Gabel-Comeau, Denise, Gu, Carol, Roberts, Jonathan, Le, Sidney, Slote, Joseph, Saber, Nicholas, Pellegrini, Emily, Green-Saxena, Abigail, Hoffman, Jana, Das, Ritankar
Published in BMC medical informatics and decision making (27.10.2020)
Published in BMC medical informatics and decision making (27.10.2020)
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Journal Article
New hybrid features extracted from US images for breast cancer classification
Tăbăcaru, Gigi, Moldovanu, Simona, Munteanu, Dan, Barbu, Marian
Published in Scientific reports (16.07.2025)
Published in Scientific reports (16.07.2025)
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Journal Article
Automated AI detection of thoracic aortic dissection on CT imaging
Norajitra, Tobias, Baumgartner, Michael A., Cusumano, Lucas R., Ulloa, Jesus G., Rizzo, Christian S., Haag, Florian, Hertel, Alexander, Rathmann, Nils A., Diehl, Steffen J., Schoenberg, Stefan O., Maier-Hein, Klaus H., Rink, Johann S.
Published in European radiology experimental (22.10.2025)
Published in European radiology experimental (22.10.2025)
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Journal Article
Unveiling Genetic Disorders: Machine Learning and Deep Learning Approaches in Gene Expression Analysis
Revathi, K., Karthikeyan, V. V., Priyanka, S., Prakash, S. Jaya
Published in 2024 Second International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI) (28.08.2024)
Published in 2024 Second International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI) (28.08.2024)
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Conference Proceeding
Artificial intelligence algorithms aimed at characterizing or detecting prostate cancer on MRI: How accurate are they when tested on independent cohorts? – A systematic review
Rouvière, Olivier, Jaouen, Tristan, Baseilhac, Pierre, Benomar, Mohammed Lamine, Escande, Raphael, Crouzet, Sébastien, Souchon, Rémi
Published in Diagnostic and interventional imaging (01.05.2023)
Published in Diagnostic and interventional imaging (01.05.2023)
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Journal Article
Development of an automated combined positive score prediction pipeline using artificial intelligence on multiplexed immunofluorescence images
Vahadane, Abhishek, Sharma, Shreya, Mandal, Devraj, Dabbeeru, Madan, Jakthong, Josephine, Garcia-Guzman, Miguel, Majumdar, Shantanu, Lee, Chung-Wein
Published in Computers in biology and medicine (01.01.2023)
Published in Computers in biology and medicine (01.01.2023)
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Journal Article
Machine learning models identify ferroptosis-related genes as potential diagnostic biomarkers for Alzheimer’s disease
Deng, Yanyao, Feng, Yanjin, Lv, Zhicheng, He, Jinli, Chen, Xun, Wang, Chen, Yuan, Mingyang, Xu, Ting, Gao, Wenzhe, Chen, Dongjie, Zhu, Hongwei, Hou, Deren
Published in Frontiers in aging neuroscience (28.09.2022)
Published in Frontiers in aging neuroscience (28.09.2022)
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Journal Article
An artificial intelligence based on a convolutional neural network allows a precise analysis of the alignment of the lower limb
Bernard de Villeneuve, Florent, Jacquet, Christophe, El Kadim, Bilal, Donnez, Mathias, Coue, Olivier, Poujade, Thibault, Khakha, Raghbir, Argenson, Jean-Noel, Ollivier, Matthieu
Published in International orthopaedics (01.02.2023)
Published in International orthopaedics (01.02.2023)
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Journal Article
Semantic segmentation of cerebrospinal fluid and brain volume with a convolutional neural network in pediatric hydrocephalus—transfer learning from existing algorithms
Grimm, Florian, Edl, Florian, Kerscher, Susanne R., Nieselt, Kay, Gugel, Isabel, Schuhmann, Martin U.
Published in Acta neurochirurgica (01.10.2020)
Published in Acta neurochirurgica (01.10.2020)
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Journal Article
Development and validation of multivariable machine learning algorithms to predict risk of cancer in symptomatic patients referred urgently from primary care: a diagnostic accuracy study
Savage, Richard, Messenger, Mike, Neal, Richard D, Ferguson, Rosie, Johnston, Colin, Lloyd, Katherine L, Neal, Matthew D, Sansom, Nigel, Selby, Peter, Sharma, Nisha, Shinkins, Bethany, Skinner, Jim R, Tully, Giles, Duffy, Sean, Hall, Geoff
Published in BMJ open (01.04.2022)
Published in BMJ open (01.04.2022)
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Journal Article
Can Machine Learning Algorithms Predict Which Patients Will Achieve Minimally Clinically Important Differences From Total Joint Arthroplasty?
Fontana, Mark Alan, Lyman, Stephen, Sarker, Gourab K., Padgett, Douglas E., MacLean, Catherine H.
Published in Clinical orthopaedics and related research (01.06.2019)
Published in Clinical orthopaedics and related research (01.06.2019)
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Journal Article