Physics-informed deep learning reconstruction for ultrafast clinical 3D fluid-attenuated inversion recovery brain MRI

Deep learning diagnosis of adult tibial plateau fractures: multicenter study with external validation

Intervertebral disc degeneration of the lumbar spine assessed in vivo with 3T magnetic resonance tomoelastography

Quantifying changes in steatotic liver disease after bariatric surgery using ultrasound-derived fat fraction

Mitigating overtreatment of ductal carcinoma in situ

Comparison of robotic versus manual needle insertion for CT-guided intervention: prospective randomized trial

Cross-institutional automated multilabel segmentation for acute intracerebral hemorrhage, intraventricular hemorrhage, and perihematomal edema on CT

Autoria: Jawed Nawabi, Georg Lukas Baumgaertner, Sophia Schulze-Weddige, Andrea Dell’Orco, Andrea Morotti, Federico Mazzacane, Helge Kniep, Frieder Schlunk, Maik Franz Hermann Boehmer, Burak Han Akkurt, Tobias Orth, Jana-Sofie Weissflog, Maik Schumann, Peter B. Sporns, Michael Scheel, Uta Hanning, Jens Fiehler, Tobias Penzkofer
Fonte: Radiology Advances
Tipo: Publicação Científica | Formato: PDF | Idioma: Inglês | Acesso: Aberto | Ano: 2025
Palavras-chave: cardiologia/ angiologia, inteligência artificial, neurologia, tecnologia da informaçãotomografia computadorizada, transtorno cerebrovascular

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Mitigation of T1 impact for unbiased tumor magnetic resonance amide proton transfer imaging at 3T

Improving radiologist detection of meniscal abnormality on undersampled, deep learning reconstructed knee MRI

Climate resilient and environmentally sustainable radiology: a framework for implementation

Artificial intelligence software for detecting unsuspected lung cancer on chest radiographs in an asymptomatic population

Fetal MRI deep learning segmentation of body and lung in congenital diaphragmatic hernia

Autoria: Leon M. Bischoff, Sebastian Nowak, Maximilian Mader, Maike Theis, Thomas Vollbrecht, Alexander Isaak, Daniel Kuetting, Claus C. Pieper, Annegret Geipel, Florian Kipfmueller, Brigitte Strizek, Alois M. Sprinkart, Julian A. Luetkens
Fonte: Radiology Advances
Tipo: Publicação Científica | Formato: PDF | Idioma: Inglês | Acesso: Aberto | Ano: 2025
Palavras-chave: anatomia e fisiologia, ginecologia/ obstetrícia, inteligência artificial, malformação fetal, ressonância magnética, tecnologia da informação

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Artificial intelligence model for automatic 3-dimensional reconstruction of ossicular chain and bony labyrinth from high-resolution CT

Comparing quantitative imaging biomarker alliance volumetric CT classifications with RECIST response categories

MRAnnotator: multi-anatomy and many-sequence MRI segmentation of 44 structures

Autoria: Alexander Zhou, Zelong Liu, Andrew Tieu, Nikhil Patel, Sean Sun, Anthony Yang, Peter Choi, Hao-Chih Lee, Mickael Tordjman, Louisa Deyer, Yunhao Mei, Valentin Fauveau, Georgios Soultanidis, Bachir Taouli, Mingqian Huang, Amish Doshi, Zahi A Fayad, Timothy Deyer, Xueyan Mei
Fonte: Radiology Advances
Tipo: Publicação Científica | Formato: PDF | Idioma: Inglês | Acesso: Aberto | Ano: 2025
Palavras-chave: anatomia e fisiologia, inteligência artificial, ressonância magnética, tecnologia da informação

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DeepSeek is open-access and the next AI disrupter for radiology

Estimating time-to-total knee replacement on radiographs and MRI: a multimodal approach using self-supervised deep learning

Quantifying lower extremity blood flow using low-dose CT perfusion: validation in a swine model

Fractional flow reserve measurement using dynamic CT perfusion imaging in patients with coronary artery disease

Quantification of myocardial oxygen extraction fraction on noncontrast MRI enabled by deep learning

Reducing motion artifacts in craniocervical background subtraction angiography with deformable registration and unsupervised deep learning

Pulmonary embolism detection without intravenous contrast using electron density and Z-effective maps from dual-energy CT

Autoria: Tommaso D’Angelo, Simone Barbera, Velio Ascenti, Giuseppe Cicero, Simone Terrani, Damiano Caruso, Andrea Laghi, Federico Fontana, Massimo Venturini, Filippo Piacentino, Christian Booz, Thomas J. Vogl, Ibrahim Yel, Maria Adele Marino, Silvio Mazziotti, Giorgio Ascenti
Fonte: Radiology Advances
Tipo: Publicação Científica | Formato: PDF | Idioma: Inglês | Acesso: Aberto | Ano: 2024
Palavras-chave: cardiologia/ angiologia, CECT, DECT, exames contrastados, obstrução vascular, tomografia computadorizadatromboembolismo

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Deep learning assessment of disproportionately enlarged subarachnoid-space hydrocephalus in Hakim’s disease or idiopathic normal pressure hydrocephalus

An image-domain deep-learning denoising technique for accelerated parallel brain MRI: prospective clinical evaluation

18F-FDG-PET-based deep learning for predicting cognitive decline in non-demented elderly across the Alzheimer’s disease clinical spectrum

Autoria: Beomseok Sohn, Seok Jong Chung, Jeong Ryong Lee, Dosik Hwang, Wanying Xie, Ling Ling Chan, Yoon Seong Choi, Harvard Brain Imaging Study, Japanese Alzheimer’s Disease Neuroimaging Initiative, Alzheimer’s Disease Neuroimaging Initiative
Fonte: Radiology Advances
Tipo: Publicação Científica | Formato: PDF | Idioma: Inglês | Acesso: Aberto | Ano: 2024
Palavras-chave: alzheimer, doença neurodegenerativa, inteligência artificial, medicina nuclear, neurologia, PET, tecnologia da informação

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Different sodium concentrations of noncancerous and cancerous prostate tissue seen on MRI using an external coil

Magnetic particle imaging enables nonradioactive quantitative sentinel lymph node identification: feasibility proof in murine models

Photon counting detector computed tomography in pediatric cardiothoracic CT imaging

Deep generative model of the distal tibial classic metaphyseal lesion in infants: assessment of synthetic images

Deep learning-based amyloid PET harmonization to predict cognitive decline in non-demented elderly

Autoria: Yoon Seong Choi, Pei Ing Ngam, Jeong Ryong Lee, Dosik Hwang, Eng-King Tan, Harvard Aging Brain Study, Australian Imaging Biomarkers and Lifestyle Study of Aging, Japanese Alzheimer’s Disease Neuroimaging Initiative, Alzheimer’s Disease Neuroimaging Initiative
Fonte: Radiology Advances
Tipo: Publicação Científica | Formato: PDF | Idioma: Inglês | Acesso: Aberto | Ano: 2024
Palavras-chave:  doença neurodegenerativa, inteligência artificial, medicina nuclear, neurologia, PET, tecnologia da informação

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Platelet-rich plasma for patellar tendinopathy: a randomized controlled trial correlating clinical outcomes and quantitative imaging

Cerenkov luminescence imaging and flexible autoradiography for specimen margin assessment during breast-conserving cancer surgery

Autoria: Aaditya Sinha, Zhane Peterson, Belul Shifa, Hannah Jeffery, Patriek Jurrius, Sarah Allen, Eugene Lee, Mohammed Azmat, Rachel Barrass, Damion Bailey, Jessica Johnson, Kathryn Adamson, Vasileios Karydakis, Elina Shaari, Mangesh Thorat, Hisham Hamed, Georgina Bitsakou, Sarah Pinder, Padma Menon, Wen Ng, Gary Cook, John Joemon, Armidita Jacob, Sofia Pereira, Jocelyn Thomas, Ruheana Begum, Karim El-Boghdadly, Mieke Van Hemelrijck, Ashutosh Kothari, Arnie Purushotham
Fonte: Radiology Advances
Tipo: Publicação Científica | Formato: PDF | Idioma: Inglês | Acesso: Aberto | Ano: 2024
Palavras-chave: medicina nuclear, neoplasia mamáriaoncologia

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Deep learning-based liver cyst segmentation in MRI for autosomal dominant polycystic kidney disease

Autoria: Mina Chookhachizadeh Moghadam, Mohit Aspal, Xinzi He, Dominick J. Romano, Arman Sharbatdaran, Zhongxiu Hu, Kurt Teichman, Hui Yi Ng He, Usama Sattar, Chenglin Zhu, Hreedi Dev, Daniil Shimonov, James M. Chevalier, Akshay Goel, George Shih, Jon D. Blumenfeld, Mert R. Sabuncu, Martin R. Prince
Fonte: Radiology Advances
Tipo: Publicação Científica | Formato: PDF | Idioma: Inglês | Acesso: Aberto | Ano: 2024
Palavras-chave: cisto, doença renal policística, gastroenterologia, inteligência artificial, ressonância magnéticatecnologia da informação, urologia

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Atrial anatomical variations on computed tomography angiography associated with atrial fibrillation and those predicting recurrence following pulmonary vein isolation

Cardiac MRI T2 mapping with heart phase acquisition and improved motion‐sensitized driven equilibrium blood suppression

Artificial intelligence as a second reader for screening mammography

Autoria: Etsuji Nakai, Yumi Miyagi, Kazuhiro Suzuki, Alessandro Scoccia Pappagallo, Hiroki Kayama, Takehito Matsuba, Lin Yang, Shawn Xu, Christopher Kelly, Ryan Najafi, Timo Kohlberger, Daniel Golden, Akib Uddin, Yusuke Nakamura, Yumi Kokubu, Yoko Takahashi, Takayuki Ueno, Masahiko Oguchi, Shinji Ohno, Joseph R. Ledsam
Fonte: Radiology Advances
Tipo: Publicação Científica | Formato: PDF | Idioma: Inglês | Acesso: Aberto | Ano: 2024
Palavras-chave: inteligência artificiallaudo radiológico, mamografia, mastologia, tecnologia da informação

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CT trachea surface roughness is associated with chronic obstructive pulmonary disease symptoms

Awake pediatric brain-MRI: a fast multi-sequence scan augmented with motion compensated single-shot 2D acquisitions

Seven tesla knee MRI T2*-mapping detects intrasubstance meniscus degeneration in patients with posterior root tears

Pathologic outcome of incidentally detected tracer-avid lesions in 68Ga-PSMA-11 PET/CT for prostate cancer

Incidental pulmonary embolism in abdominal CT: detection rate and characteristics with artificial intelligence

Explainable AI to identify radiographic features of pulmonary edema

Prognostic significance of CAD-RADS for patients with suspected coronary artery disease: A systematic review and meta-analysis

Super-resolution deep learning reconstruction to improve image quality of coronary CT angiography

Autoria: Nobuo Tomizawa, Yui Nozaki, Hideyuki Sato, Yuko Kawaguchi, Ayako Kudo, Daigo Takahashi, Kazuhisa Takamura, Makoto Hiki, Shinichiro Fujimoto, Iwao Okai, Seiji Koga, Shinya Okazaki, Kanako K Kumamaru, Tohru Minamino, Shigeki Aoki
Fonte: Radiology Advances
Tipo: Publicação Científica | Formato: PDF | Idioma: Inglês | Acesso: Aberto | Ano: 2024
Palavras-chave: cardiologia/ angiologia, CECTexames contrastados, inteligência artificial, processamento de imagem, tecnologia da informação, tomografia computadorizada

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ChatGPT-4: a breakthrough in ultrasound image analysis