Use of Multimodal Artificial Intelligence in Surgical Instrument Recognition by Syed Ali Haider, Olivia A. Ho, Sahar Borna, Cesar A. Gomez-Cabello, Sophia M. Pressman, Dave Cole, Ajai Sehgal, Bradley C. Leibovich, Antonio Jorge Forte

“…Artificial Intelligence (AI) models have shown the potential to automate this process. This study evaluates the accuracy of publicly available Large Language Models (LLMs)—ChatGPT-4, ChatGPT-4o, and Gemini—and a specialized commercial mobile application, Surgical-Instrument Directory (SID 2.0), in identifying surgical instruments from images. …”
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Towards an ontology of mental health: Protocol for developing an ontology to structure and integrate evidence regarding anxiety, depression and psychosis [version 2; peer review: 1... by Jennifer Potts, Micaela Santilli, Claire Friedrich, Jaycee Kennett, Janna Hastings, Susan Michie, Paulina M. Schenk

“…By being computer readable, the ontology can also be harnessed within algorithms that support automated categorising, linking, retrieving and synthesising evidence.…”
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Climate change impact assessment on groundwater level changes: A study of hybrid model techniques by Stephen Afrifa, Tao Zhang, Xin Zhao, Peter Appiahene, Mensah Samuel Yaw

“…These three HMs are employed to help automate logical inference and decision‐making in business intelligence for groundwater management. …”
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Solving Truthfulness-Privacy Trade-Off in Mixed Data Outsourcing by Using Data Balancing and Attribute Correlation-Aware Differential Privacy by Abdul Majeed, Seong Oun Hwang

“…Our method first identifies quality-related issues in the data and solves them in an automated manner by adding the fewest possible good-quality synthetic records. …”
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Assessment of Body Composition, Bone Density, and Biochemical Markers of a Natural Bodybuilder During Contest Preparation by Konstantinos Michailidis, Nikolaos Zaras, Dimitrios Balampanos, Alexandra Avloniti, Theodoros Stampoulis, Maria Protopapa, Dimitrios Pantazis, Nikolaos-Orestis Retzepis, Ilias Smilios, Athanasios Chatzinikolaou

“…At the beginning (W31), in the middle (W18), and one week before the contest (W1), measurements included body composition via DEXA, testosterone and cortisol hormonal concentrations, and lipid, blood, and liver biochemical markers via an automated hematology analyzer. A gradual decrease in energy intake (−27.6%) and increased daily activity (169.0%) was found. …”
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IL PROGETTO PRIN 2022 PNRR “DIZIONARIO DELL’ITALIANO ACCADEMICO: FORME E FUNZIONI TESTUALI” (DIA): PRIME ACQUISIZIONI E PROSPETTIVE by Davide Mastrantonio, Abdelmagid Sakr, Michela Dota, Serena Nardella

“…It also presents some results of automated lexicometric surveys carried out on the corpus specially created for the project, whose physiognomy and composition criteria are thoroughly illustrated. …”
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An unbiased cell morphology-based screen for new, biologically active small molecules. by Masahiro Tanaka, Raynard Bateman, Daniel Rauh, Eugeni Vaisberg, Shyam Ramachandani, Chao Zhang, Kirk C Hansen, Alma L Burlingame, Jay K Trautman, Kevan M Shokat, Cynthia L Adams

“…We have implemented an unbiased cell morphology-based screen to identify small-molecule modulators of cellular processes using the Cytometrix (TM) automated imaging and analysis system. This assay format provides unbiased analysis of morphological effects induced by small molecules by capturing phenotypic readouts of most known classes of pharmacological agents and has the potential to read out pathways for which little is known. …”
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Functional Evaluation of the Visual Pathway in Patients with Multiple Sclerosis Using a Multifunction Stimulator Monitor by M. Satue, L. Jarauta, J. Obis, M. Cipres, M. J. Rodrigo, C. Almarcegui, I. Dolz, J. R. Ara, J. Martin, L. E. Pablo, E. Garcia-Martin

“…All participants underwent a complete functional evaluation of the visual pathway, which included low-contrast visual acuity (LCVA), contrast sensitivity vision (CSV), automated perimetry, multifocal visual evoked potentials (mfVEPs), and pattern electroretinogram (ERG). …”
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Mapping the Land Suitability for Paddy, Corn, and Soybean in Tropical Situation of Jombang District, Indonesia by Zainal Arifin, Dwi Setyorini, Donald Sihombing, Sugiono Sugiono, Evy Latifah, Mohammad Saeri, Catur Hermanto, Amik Krismawati, Nurul Istiqomah, Eni Fidiyawati

“…Information on climate characteristics, plant growth, and needs were obtained from field studies and literature studies and then the information was overlaid using a land use expert system with the ALES (automated land evaluation system) program to determine the ZAE class. …”
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Development and validation of a deep learning system for detection of small bowel pathologies in capsule endoscopy: a pilot study in a Singapore institution by Bochao Jiang, Michael Dorosan, Justin Wen Hao Leong, Marcus Eng Hock Ong, Sean Shao Wei Lam, Tiing Leong Ang

“…They serve as a decision support system, partially automating the diagnosis process by providing probability predictions for abnormalities. …”
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Using Radiogenic Noble Gas Nuclides to Identify and Characterize Rock Fracturing by W. Payton Gardner, Stephen J. Bauer, William M. Kibikas, Brynna Siluk, Scott Broome, Chris Strickland, Christine Johnson, Vince Vermeul

“…Real‐time, in situ noble gases and reactive gases were monitored using a field‐deployed mass spectrometer and automated sampling system in a multilevel borehole array. …”
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Blockchain-driven demand side management in P2P energy markets for islanded microgrid systems by Abdullah Umar, Sumit Kumar Jha, Deepak Kumar, Tirthadip Ghose, Subhransu Ranjan Samantaray

“…Furthermore, a blockchain-based system with smart contracts is integrated to automate critical processes, including registration, event detection, DSM actions, and incentive distribution. …”
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Automatic GPR detection of grouting defects behind the tunnel shield segments based on wavelet coherence analysis combined with modified Res-RCNN by Dengyi Wang, Ming Peng, Liu Liu, Xiongyao Xie, Zhenming Shi, Yaoying Liang, Jian Shen, Qiyu Wu

“…To address these, this paper introduces an automated approach using wavelet coherence and a modified Res-RCNN. …”
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A universal panel of STR loci for the study of polymorphism of the species <i>Canis lupus</i> and forensic identification of dog and wolf by A. E. Hrebianchuk, I. S. Tsybovsky

“…A computational tool was developed to automate the analysis of genetic data on the wolf and dog in the forensic examination; two guides were approved for practicing forensic experts. …”
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Identification and analysis of factors affecting the maturity of knowledge-based companies in the food industry with the approach of the fourth-generation industry by Ali Mohaghar, Fatemeh Saghafi, Mohammad Hasan Maleki, Daryamehr Keshani

“…Some suggestions were: the use of data-driven technologies such as business intelligence and big data to strengthen data-driven decision-making, the use of a hybrid approach in training and the application of new technologies in the field of training such as Metaverse, the use of Internet of Things and blockchain technologies to automate and intelligentize processes and finally Moving towards an open innovation policy.…”
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GAZE DIRECTION MONITORING MODEL IN COMPUTER SYSTEM FOR ACADEMIC PERFORMANCE ASSESSMENT by Olesia Barkovska, Yaroslav Liapin, Tetiana Muzyka, Ihor Ryndyk, Pavlo Botnar

“…The practical novelty of the proposed model of monitoring the direction of gaze in a computer-based knowledge control system lies in the possibility of automated remote control over a large audience of students. …”
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Machine Learning-Based Normal White Blood Cell Multi-Classification Optimization by Taeyeon Gil, Sukjun Lee, Onseok Lee

“…Therefore, many studies are being conducted to automate the classification of WBC types. Several studies have employed deep learning (DL) or machine learning (ML) methods; no significant difference in performance between the two methods has been demonstrated. …”
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A customized convolutional neural network-based approach for weeds identification in cotton crops by Hafiz Muhammad Faisal, Muhammad Aqib, Muhammad Aqib, Khalid Mahmood, Mejdl Safran, Sultan Alfarhood, Imran Ashraf

“…Smart farming is a hot research area for experts globally to fulfill the soaring demand for food. Automated approaches, based on convolutional neural networks (CNN), for crop disease identification, weed classification, and monitoring have substantially helped increase crop yields. …”
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Varying pixel resolution significantly improves deep learning-based carotid plaque histology segmentation by Yurim Lee, Rashid Al Mukaddim, Tenzin Ngawang, Shahriar Salamat, Carol C. Mitchell, Jenna Maybock, Stephanie M. Wilbrand, Robert J. Dempsey, Tomy Varghese

“…The likelihood of a plaque rupturing is thought to be associated with its composition (i.e. lipid, calcium, hemorrhage and inflammatory cell content) and the mechanical properties of the plaque. Automating and digitizing histopathological images of these plaques into tissue specific (lipid and calcified) regions can help us compare histologic findings to in vivo imaging and thereby enable us to optimize medical treatments or interventions for patients based on the composition of plaques. …”
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Comparative Evaluation and Measure of Accuracy of ELISAs, CLIAs, and ECLIAs for the Detection of HIV Infection among Blood Donors in China by Le Chang, Junpeng Zhao, Fei Guo, Huimin Ji, Lu Zhang, Xinyi Jiang, Lunan Wang

“…Enzyme-linked immunosorbent assay (ELISA) is the only serological method approved for blood screening in China. Automated chemiluminescence immunoassay (CLIA) and electrochemiluminescence immunoassay (ECLIA) had been used in clinical laboratories but not applied to screen HIV among blood donors. …”
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