Establishing an AI-based diagnostic framework for pulmonary nodules in computed tomography by Ruiting Jia, Baozhi Liu, Mohsin Ali

“…Abstract Background Pulmonary nodules seen by computed tomography (CT) can be benign or malignant, and early detection is important for optimal management. …”
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Computer-aided cholelithiasis diagnosis using explainable convolutional neural network by Dheeraj Kumar, Mayuri A. Mehta, Ketan Kotecha, Ambarish Kulkarni

“…Fourth, an exhaustive performance analysis of the proposed approach on ultrasound images collected from three different Indian hospitals is presented to showcase its efficacy for computer-aided cholelithiasis diagnosis. Fifth, a team of radiologists evaluates and validates the prediction and respective visual explanations made using the proposed approach. …”
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Research on Adaptive Discriminating Method of Brain–Computer Interface for Motor Imagination by Jifeng Gong, Huitong Liu, Fang Duan, Yan Che, Zheng Yan

“…(1) <b>Background</b>: Brain–computer interface (BCI) technology represents a cutting-edge field that integrates brain intelligence with machine intelligence. …”
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Patients’ effective doses assessment during low-dose computed tomography by P. S. Druzhinina, A. V. Vodovatov, I. K. Romanovich, L. A. Chipiga, G. V. Berkovich, A. D. Ushkov, A. O. Nefedov

“…To ensure the radiation safety of those individuals eligible for inclusion in screening programs or participating in biomedical research testing lung cancer screening, it is necessary to evaluate effective doses from low-dose computed tomography and compare these doses to established radiation dose limits. …”
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Kernel to computation: identifying optimal feature set for red rice classification by Suma D, Narendra V G, Darshan Holla M, Shreyas, Raviraja Holla M

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Benchmarking In-Sensor Machine Learning Computing: An Extension to the MLCommons-Tiny Suite by Fabrizio Maria Aymone, Danilo Pietro Pau

“…This paper proposes a new benchmark specifically designed for in-sensor digital machine learning computing to meet an ultra-low embedded memory requirement. …”
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MODERN ASPECTS OF THE DIAGNOSIS OF SEVERE COMBINED TRAUMA USING COMPUTED TOMOGRAPHY by I. E. Popova, L. T. Khamidova, R. S. Muslimov, T. G. Barmina, S. A. Badigov

“…Materials and methods. The results of computed tomography of 30 patients with severe concomitant trauma were analyzed. …”
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Periapical Lesions and Their Relationship to Schneider’s Membrane in Cone-Beam Computed Tomography by César F. Cayo-Rojas, Leidy A. Begazo-Jiménez, Luighy B. Romero-Solórzano, Miriam K. Nicho-Valladares, Andrea Gaviria-Martínez, Luis A. Cervantes-Ganoza

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Quantum Vulnerability Analysis to Guide Robust Quantum Computing System Design by Fang Qi, Kaitlin N. Smith, Travis LeCompte, Nian-feng Tzeng, Xu Yuan, Frederic T. Chong, Lu Peng

“…By evaluating the CQV with well-known benchmarks on three 27-qubit quantum computers, the CQV success estimation outperforms the estimated probability of success state-of-the-art prediction technique by achieving on average six times less relative prediction error, with best cases at 30 times, for benchmarks with a real SR rate above 0.1&#x0025;. …”
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Impact of emergency computed tomography on treatment and time to treatment for renal colic by Maria Utter, Fredrik Altmark, Marcin Popiolek, Andreas Forsvall, Karl-Johan Lundström, Tomas Thiel, Magnus Wagenius

“… Objective: The aim of this study was to evaluate the utilization and impact of emergency computed tomography (CT) on the management of renal colic, focusing on treatment decisions, time to treatment and the subsequent need for additional emergency department (ED) visits. …”
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Optimising after-hours workflow of computed tomography orders in the emergency department by Joseph Choi, Rajesh Bhayana, Chenhan D Wang, Ravi J Menezes, Eric S Bartlett

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Dental photon-counting computed tomography for the assessment of peri-implant structures by Maurice Ruetters, Christian Mertens, Holger Gehrig, Sinan Sen, Ti-Sun Kim, Hans-Peter Schlemmer, Stefan Schoenberg, Matthias Froelich, Marc Kachelrieß, Stefan Sawall

“…Abstract Purpose To assess the diagnostic performance of photon-counting computed tomography (PCCT) in the imaging of peri-implant bone structures and to compare it quantitatively and qualitatively to cone-beam computed tomography (CBCT). …”
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Size-Specific Dose Estimate and Effective Dose for Pediatric Computed Tomography by Rukhsar Khan, Mudasir Ashraf Shah, Shagufta Wahab, Rizwan Ahmad Khan

“…The water-equivalent diameter (Dw), SSDE, and E were computed for each examination using the dose report of CT console display computed tomography dose index (CTD1vol) and dose length product (DLP). …”
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Computer Program for Primer Design for Loop-Mediated Isothermal Amplification (LAMP) by L. U. Akhmetzianov

“…Therefore, there is a need to use modern computer technologies. More than 150 computer programs have been proposed for the design of PCR primers, while for LAMP-primers there are less than 10 of them, and each of them has a number of drawbacks, e.g., in terms of the length of the analyzed site. …”
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Diagnosis of gastrointestinal fistulas in pancreatic necrosis by X-ray and computed tomography by T. G. Barmina, L. T. Khamidova, O. A. Zabavskaya, I. E. Selina, P. A. Yartsev, F. A.-K. Sharifullin, I. E. Popova, E. A. Eletskaia, А. M. Kuzmin

“…All patients underwent computed tomography (CT) of the abdominal cavity and retroperitoneal space with bolus contrast enhancement and X-ray fistulography. …”
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Validation of Artificial Intelligence Computer-Aided Detection of Colonic Neoplasm in Colonoscopy by Hannah Lee, Jun-Won Chung, Kyoung Oh Kim, Kwang An Kwon, Jung Ho Kim, Sung-Cheol Yun, Sung Woo Jung, Ahmad Sheeraz, Yeong Jun Yoon, Ji Hee Kim, Mohd Azzam Kayasseh

“…In this study, we aimed to validate a previously developed artificial intelligence (AI) computer-aided detection (CADe) algorithm called ALPHAON^® and compare outcomes with previous studies that showed that AI outperformed and assisted endoscopists of diverse levels of expertise in detecting colon polyps. …”
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Evaluating machine learning accuracy in detecting significant coronary stenosis using CCTA-derived fractional flow reserve: Meta-analysis and systematic review by Danny van Noort, Liang Guo, Shuang Leng, Luming Shi, Ru-San Tan, Lynette Teo, Min Sen Yew, Lohendran Baskaran, Ping Chai, Felix Keng, Mark Chan, Terrance Chua, Swee Yaw Tan, Liang Zhong

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A real time monitoring system for accurate plant leaves disease detection using deep learning by Kazi Naimur Rahman, Sajal Chandra Banik, Raihan Islam, Arafath Al Fahim

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A Survey on Multi-User Conversational Interfaces by Nicolas Wagner, Matthias Kraus, Wolfgang Minker, David Griol, Zoraida Callejas

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Diagnostic modalities for ischemic heart disease: evaluating the role of stress echocardiography, cardiac CT, and myocardial perfusion scintigraphy in guiding coronary angiography by Marco Fabio Costantino, Francesca Cortese, Gianpaolo D’Addeo, Adriano Nicoletti, Stefano Mancino, Luisiana Stolfi

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