Issues of diagnosis and treatment of metastases in the spine and long bones by A. V. Bukharov, D. A. Erin, V. A. Derzhavin, A. V. Yadrina

“…The review included data from randomized clinical trials evaluating various diagnostic algorithms for detecting bone metastases, the frequency of metastases to the vertebral column and long bones, their number, and options for surgical or radiation treatment published over the past 10 years. …”
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Dynamic Routing Method over Hybrid SDN for Flying Ad Hoc Networks by Baghdad Science Journal

“…Comparison of the proposed method performance and two other algorithms is simulated. The simulation results show that the proposed method has better results than traditional algorithms in the package delivery ratio, average end to end delay, packet loss, throughput and normalized routing Load.…”
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Vibration-based gait analysis via instrumented buildings by Ellis Kessler, Vijaya VN Sriram Malladi, Pablo A Tarazaga

“…Signal-energy-based algorithms detect the heel strike of each step during trials. …”
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Evaluating anti-VEGF responses in diabetic macular edema: A systematic review with AI-powered treatment insights by S Tamilselvi, M Suchetha, Dhanashree Ratra, Janani Surya, S Preethi, Rajiv Raman

“…According to a review of 50 relevant papers published between 2016 and 2023, the algorithms achieved an average automated sensitivity of 74% (95% CI: 0.55–0.92) in detecting treatment responses.…”
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Diagnosis of knee meniscal injuries using artificial intelligence: A systematic review and meta-analysis of diagnostic performance. by Soheil Mohammadi, Ali Jahanshahi, Mohammad Shahrabi Farahani, Mohammad Amin Salehi, Negin Frounchi, Ali Guermazi

“…<h4>Aim of the study</h4>The aim was to systematically review the literature and perform a meta-analysis to estimate the performance of artificial intelligence (AI) algorithms in detecting meniscal injuries.<h4>Materials and methods</h4>A systematic search was performed in the Scopus, PubMed, EBSCO, Cinahl, Web of Science, IEEE Xplore, and Cochrane Central databases on July, 2024. …”
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DNA familial binding profiles made easy: comparison of various motif alignment and clustering strategies. by Shaun Mahony, Philip E Auron, Panayiotis V Benos

“…Various comparison metrics and alignment algorithms are evaluated (a total of 105 combinations). …”
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Performance Evaluating of Honeyword Generation Methods: Traditional versus AI by Shahad Abdulkhalik Alkazzaz, Saja Jasim Mohammed

“…The benefit of this technique is its ability to detect unauthorized access attempts to the systems. …”
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Digital Methods to Study (and Reduce) the Impact of Disinformation by Miriam Di Lisio, Domenico Trezza

“…The second is that algorithms could be sources of bias. Social media companies need to be very careful about relying on automated classification. …”
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Sample Entropy on Multidistance Signal Level Difference for Epileptic EEG Classification by Achmad Rizal, Sugondo Hadiyoso

“…Many algorithms have been applied to achieve high performance for the EEG classification of epileptic. …”
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Role of clinical evaluation in the identification of coronary obstructive disorders in patients with stable coronary artery disease. Part I by A. N. Sumin

“…The review discusses the use for diagnostic purposes more complete set of routine assessment methods and the expanded use of laboratory tests using memetic algorithms.…”
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Fuzzy trust model for wireless sensor networks with intrusion tolerance by WANG Liang-min1, GUO Yuan-bo2, ZHAN Yong-zhao1

“…To protect key services of wireless sensor networks of data fusion and package forward,a fuzzy trust model based on trust and confidence and its evaluation algorithms were presented,in which the value of confidence was used to describe the impreciseness of the value of the trust.Then the simulation and the example were given to show the per-formances of using the model to detect or tolerate the insidious attacks.Finally,the package drop ration of the networks with the trust evaluation system was simulated and the comparison with the related work was discussed.…”
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Deep Learning-Based Pulmonary Nodule Screening: A Narrative Review by Abhishek Mahajan, Ujjwal Agarwal, Rajat Agrawal, Aditi Venkatesh, Shreya Shukla, K S. S. Bharadwaj, M L. V. Apparao, Vivek Pawar, Vivek Poonia

“…Given its capacity to generate three-dimensional pictures, computed tomography is the most effective means of detecting lung nodules with more excellent resolution of detected nodules. …”
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Automated Analysis of Fluorescence Microscopy Images to Identify Protein-Protein Interactions by S. Venkatraman, M. J. Doktycz, H. Qi, J. L. Morrell-Falvey

“…Algorithms were implemented using MATLAB and the software developed is available on request from the authors.…”
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PANEL STUDY OF THE EFFECTIVENESS OF LOW-DOSE COMPUTED TOMOGRAPHY AND TRANSTHORACIC CORE BIOPSY IN EARLY DIAGNOSTICS OF LUNG CANCER by A. I. Arseniev, A. A. Barchuk, K. A. Kostitsin, A. V. Nefedova, A. S. Barchuk, A. V. Chernaja, E. V. Levchenko, S. A. Tarkov, A. O. Nefedov, K. E. Gagua

“…The modern lung cancer diagnostics allows detecting the disease on the early stage and collecting the morphologic materials sufficiently enough for personalization of management algorithms.…”
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Role of artificial intelligence in healthcare insurance: systematic literature review by Ahmed Ali Alkhelb, Salah Alshagrawi

“…For claim processes, virtual agents, chatbots, customer engagement, telematics, and underwriting, algorithms were essential. However, technical skill is needed to create and deploy AI systems, and privacy was an issue due to massive data and algorithms that could abuse user data. …”
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Capturing drug use patterns at a glance: An n-ary word sufficient statistic for repeated univariate categorical values. by Gabriel J Odom, Laura Brandt, Clinton Castro, Sean X Luo, Daniel J Feaster, Raymond R Balise, CTN-0094 Team

“…As examples, we provide three algorithms to define primary endpoints from seminal SUD clinical trials.…”
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Diabetes Mellitus Disease Prediction Using Machine Learning Classifiers with Oversampling and Feature Augmentation by B. Shamreen Ahamed, Meenakshi S. Arya, Auxilia Osvin V. Nancy

“…There are many algorithms that have played a critical role in the prediction of diseases. …”
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Video Pulses: User-Based Modeling of Interesting Video Segments by Markos Avlonitis, Konstantinos Chorianopoulos

“…We present a user-based method that detects regions of interest within a video in order to provide video skims and video summaries. …”
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Digital augmentation of aftercare for patients with anorexia nervosa: the TRIANGLE RCT and economic evaluation by Janet Treasure, Katie Rowlands, Valentina Cardi, Suman Ambwani, David McDaid, Jodie Lord, Danielle Clark Bryan, Pamela Macdonald, Eva Bonin, Ulrike Schmidt, Jon Arcelus, Amy Harrison, Sabine Landau

“…Sample size An a priori sample size calculation of n = 380 dyads was computed as being sufficient to detect a standardised effect size of Cohen’s d = 0.4 for patient DASS-21 at 12 months post randomisation. …”
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Microcontroller Unit-Based Gesture Recognition System by Jakub Grabarczyk, Agnieszka Lazarowska

“…This article describes the design, construction, and programming of a microcontroller-based system, which uses hand gestures with machine learning algorithms to control an unmanned aerial vehicle (UAV). …”
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