Search Results - "Academic radiology"

Deep Learning in Radiology by McBee, Morgan P., Awan, Omer A., Colucci, Andrew T., Ghobadi, Comeron W., Kadom, Nadja, Kansagra, Akash P., Tridandapani, Srini, Auffermann, William F.

“…As radiology is inherently a data-driven specialty, it is especially conducive to utilizing data processing techniques. One such technique, deep learning (DL),…”
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Coronavirus Disease (COVID-19): Spectrum of CT Findings and Temporal Progression of the Disease by Li, Mingzhi, Lei, Pinggui, Zeng, Bingliang, Li, Zongliang, Yu, Peng, Fan, Bing, Wang, Chuanhong, Li, Zicong, Zhou, Jian, Hu, Shaobo, Liu, Hao

“…Coronavirus disease is an emerging infection caused by a novel coronavirus that is moving rapidly. High resolution computed tomography (CT) allows objective…”
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Olfactory Bulb MRI and Paranasal Sinus CT Findings in Persistent COVID-19 Anosmia by Kandemirli, Sedat Giray, Altundag, Aytug, Yildirim, Duzgun, Tekcan Sanli, Deniz Esin, Saatci, Ozlem

“…There is limited literature consisting of case reports or series on olfactory bulb imaging in COVID-19 olfactory dysfunction. An imaging study with objective…”
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Medical 3D Printing Cost-Savings in Orthopedic and Maxillofacial Surgery: Cost Analysis of Operating Room Time Saved with 3D Printed Anatomic Models and Surgical Guides by Ballard, David H., Mills, Patrick, Duszak, Richard, Weisman, Jeffery A., Rybicki, Frank J., Woodard, Pamela K.

“…Three-dimensional (3D) printed anatomic models and surgical guides have been shown to reduce operative time. The purpose of this study was to generate an…”
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Deep Learning Reconstruction at CT: Phantom Study of the Image Characteristics by Higaki, Toru, Nakamura, Yuko, Zhou, Jian, Yu, Zhou, Nemoto, Takuya, Tatsugami, Fuminari, Awai, Kazuo

“…Noise, commonly encountered on computed tomography (CT) images, can impact diagnostic accuracy. To reduce the image noise, we developed a deep-learning…”
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Exploring Large-scale Public Medical Image Datasets by Oakden-Rayner, Luke

“…Medical artificial intelligence systems are dependent on well characterized large-scale datasets. Recently released public datasets have been of great interest…”
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Imaging Features of Coronavirus disease 2019 (COVID-19): Evaluation on Thin-Section CT by Guan, Chun Shuang, Lv, Zhi Bin, Yan, Shuo, Du, Yan Ni, Chen, Hui, Wei, Lian Gui, Xie, Ru Ming, Chen, Bu Dong

“…To retrospectively analyze the chest imaging findings in patients with coronavirus disease 2019 (COVID-19) on thin-section CT. Fifty-three patients with…”
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Artificial Intelligence in Medicine: Where Are We Now? by Kulkarni, Sagar, Seneviratne, Nuran, Baig, Mirza Shaheer, Khan, Ameer Hamid Ahmed

“…Artificial intelligence in medicine has made dramatic progress in recent years. However, much of this progress is seemingly scattered, lacking a cohesive…”
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Olfactory Bulb Magnetic Resonance Imaging in SARS-CoV-2-Induced Anosmia: The First Report by Galougahi, Mahboobeh Karimi, Ghorbani, Jahangir, Bakhshayeshkaram, Mehrdad, Naeini, Ali Safavi, Haseli, Sara

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Contrast-Enhanced Abdominal CT with Clinical Photon-Counting Detector CT: Assessment of Image Quality and Comparison with Energy-Integrating Detector CT by Higashigaito, Kai, Euler, André, Eberhard, Matthias, Flohr, Thomas G., Schmidt, Bernhard, Alkadhi, Hatem

“…To determine quantitative and qualitative image quality of contrast-enhanced abdominal photon-counting detector CT (PCD-CT) compared to energy-integrating…”
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Influence of Artificial Intelligence on Canadian Medical Students' Preference for Radiology Specialty: ANational Survey Study by Gong, Bo, Nugent, James P., Guest, William, Parker, William, Chang, Paul J., Khosa, Faisal, Nicolaou, Savvas

“…Artificial intelligence (AI) has the potential to transform the clinical practice of radiology. This study investigated Canadian medical students’ perceptions…”
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CT Quantification and Machine-learning Models for Assessment of Disease Severity and Prognosis of COVID-19 Patients by Cai, Wenli, Liu, Tianyu, Xue, Xing, Luo, Guibo, Wang, Xiaoli, Shen, Yihong, Fang, Qiang, Sheng, Jifang, Chen, Feng, Liang, Tingbo

“…This study was to investigate the CT quantification of COVID-19 pneumonia and its impacts on the assessment of disease severity and the prediction of clinical…”
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INbreast: toward a full-field digital mammographic database by Moreira, Inês C, Amaral, Igor, Domingues, Inês, Cardoso, António, Cardoso, Maria João, Cardoso, Jaime S

“…Computer-aided detection and diagnosis (CAD) systems have been developed in the past two decades to assist radiologists in the detection and diagnosis of…”
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Structured Reporting in Radiology by Ganeshan, Dhakshinamoorthy, Duong, Phuong-Anh Thi, Probyn, Linda, Lenchik, Leon, McArthur, Tatum A., Retrouvey, Michele, Ghobadi, Emily H., Desouches, Stephane L., Pastel, David, Francis, Isaac R.

“…Radiology reports are vital for patient care as referring physicians depend upon them for deciding appropriate patient management. Traditional narrative…”
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Addressing Burnout in Radiologists by Chetlen, Alison L., Chan, Tiffany L., Ballard, David H., Frigini, L. Alexandre, Hildebrand, Andrea, Kim, Shannon, Brian, James M., Krupinski, Elizabeth A., Ganeshan, Dhakshinamoorthy

“…Burnout is a global health problem affecting physicians across all medical specialties. Radiologists, in particular, experience high rates of burn out, and…”
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The Effects of Changes in Utilization and Technological Advancements of Cross-Sectional Imaging on Radiologist Workload by McDonald, Robert J., MD, PhD, Schwartz, Kara M., MD, Eckel, Laurence J., MD, Diehn, Felix E., MD, Hunt, Christopher H., MD, Bartholmai, Brian J., MD, Erickson, Bradley J., MD, PhD, Kallmes, David F., MD

“…Rationale and Objectives To examine the effect of changes in utilization and advances in cross-sectional imaging on radiologists' workload. Materials and…”
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Noninterpretive Uses of Artificial Intelligence in Radiology by Richardson, Michael L., Garwood, Elisabeth R., Lee, Yueh, Li, Matthew D., Lo, Hao S., Nagaraju, Arun, Nguyen, Xuan V., Probyn, Linda, Rajiah, Prabhakar, Sin, Jessica, Wasnik, Ashish P., Xu, Kali

“…We deem a computer to exhibit artificial intelligence (AI) when it performs a task that would normally require intelligent action by a human. Much of the…”
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A Machine Learning Algorithm to Estimate Sarcopenia on Abdominal CT by Burns, Joseph E., Yao, Jianhua, Chalhoub, Didier, Chen, Joseph J., Summers, Ronald M.

“…To assess whether a fully-automated deep learning system can accurately detect and analyze truncal musculature at multiple lumbar vertebral levels and muscle…”
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Creating Artificial Images for Radiology Applications Using Generative Adversarial Networks (GANs) – A Systematic Review by Sorin, Vera, Barash, Yiftach, Konen, Eli, Klang, Eyal

“…Generative adversarial networks (GANs) are deep learning models aimed at generating fake realistic looking images. These novel models made a great impact on…”
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Lymphadenopathy Following COVID-19 Vaccination: Imaging Findings Review by Keshavarz, Pedram, Yazdanpanah, Fereshteh, Rafiee, Faranak, Mizandari, Malkhaz

“…Despite all the benefits and effectiveness of the coronavirus disease 2019 (COVID-19) vaccines mentioned in recent clinical trials, some post-vaccination side…”
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