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    West Virginia University Reports Findings in Artificial Intelligence (Clinical A pplications of Artificial Intelligence in Occupational Health: A Systematic Lite rature Review)

    28-29页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Artificial Intelligenc e is the subject of a report. According to news reporting originating in Morgant own, West Virginia, by NewsRx journalists, research stated, "To identify and cri tically analyze studies using artificial intelligence (AI) in occupational healt h. A systematic search of PubMed, IEEE Xplore, and Web of Science was conducted to identify relevant articles published in English between January 2014-January 2024." The news reporters obtained a quote from the research from West Virginia Univers ity, "Quality was assessed with the validated APPRAISE-AI tool. The 27 included articles were categorized as follows: health risk assessment (n = 17), return to work and disability duration (n = 5), injury severity (n = 3), and injury manag ement (n = 2). 47 AI algorithms were utilized, with artificial neural networks, support vector machines, and random forest being most common. Model accuracy ran ged from 0.60-0.99 and AUC from 0.7-1.0. Most studies (n = 15) were of moderate quality."
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    Third Hospital of Shanxi Medical University Reports Findings in Artificial Intel ligence (Application of artificial intelligence in rheumatic disease: a bibliome tric analysis)

    29-30页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Artificial Intelligenc e is the subject of a report. According to news reporting out of Taiyuan, People 's Republic of China, by NewsRx editors, research stated, "The utilization of ar tificial intelligence (AI) in rheumatic diseases has enhanced the diagnostic acc uracy of rheumatic diseases, enabled the prediction of patient outcomes, expande d treatment options, and facilitated the provision of individualized medical sol utions. The research in this field has been progressively growing in recent year s." Our news journalists obtained a quote from the research from the Third Hospital of Shanxi Medical University, "Consequently, there is a need for bibliometric an alysis to elucidate the current state of advancement and predominant research fo ci in AI applications within rheumatic diseases. Additionally, it is crucial to identify key contributors and their interrelations in this field. This study aim ed to conduct a bibliometric analysis to investigate the current research hotspo ts and collaborative networks in the application of AI in rheumatic disease in r ecent years. A comprehensive search was conducted in Web of Science for articles on artificial intelligence in rheumatic diseases, published in SSCI and SCI-EXP ANDED until January 1, 2024. Utilizing software tools like VOSviewers and CiteSp ace, we analyzed various pa-rameters including publication year, journal, country , institution, and authorship. This analysis extended to examining cited authors , generating reference and citation network graphs, and creating co-citation net work and keyword maps. Additionally, research hotspots and trends in this domain were evaluated. As of January 1, 2024, atotal of 3508 articles have been publi shed on the application of artificial intelligence (AI) in rheumatic disease, ex hibiting a steady rise in both the annual publication frequency and rate. ‘Scien tific Reports' emerged as the leading journal in terms of relevant publications. The United States stood out as the predominant country in terms of the volume o f published papers, with the University of California, San Francisco (UCSF) bein g the most prolific and frequently cited institution. Among authors, Young Ho Le e and Valentina Pedoia were noted for their significant contributions, with Pedo ia achieving the highest average citation count per publication. Machine learnin g emerged as a prominent and central keyword. The trend indicates a growing inte rest in AI research within rheumatologic diseases, with its role expected to bec ome increasingly pivotal in the field. This study presents a comprehensive summa ry of research trends and developments in the application of artificial intellig ence (AI) in rheumatic diseases. It offers insights into potential collaboration s and prospects for future research, clarifying the research frontiers and emerg ing directions in recent years."
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    Researcher at Al Ain University Releases New Data on Machine Learning (Evaluatin g the influence of digital strategy on the interplay between quality certificati on and sales performance using data science and machine learning algorithms)

    30-31页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Research findings on artificial intelligence are discussed in a new report. According to news reporting out of Al Ain University by NewsRx editors, research stated, "In the context of international trade with information asymmetries, business certifications can serve as signals of product quality and reliability for customers and stakeholders." Our news reporters obtained a quote from the research from Al Ain University: "R ecognizing this, the current study unbraces ‘signalling theory' to explore the i mpact of digital transformation strategy (DTS) on firm's international quality c ertification status and sales performance in the global economy. To this end, tr eating quality certification endogenously, the study relies on bivariate copula regression modeling of 121429 firms' responses data extracted from the World Ban k's Enterprise Surveys. Consistent with the hypothesized theoretical predictions , the findings revealed that DTS, in the form of website ownership, has a signif icantly positive impact on sales performance due to increasing firm's reach, vis ibility, engagement, conversion, and retention of customers across different cha nnels and touchpoints. As theoretically conjectured, quality certification is al so found to positively impact sales performance by enhancing the firm's reputati on, trustworthiness, and attractiveness in the global marketplace. Most importan tly, the study found empirical evidence that DTS significantly moderates the rel ationship between quality certification and sales performance, such that quality certification has a stronger effect on sales performance for firms with a well- defined DTS (web=1) than those without (web=0); leading therefore to the conclus ion that DTS can amplify the signal of quality certification by making it more v isible, transparent, and consistent across different digital channels and touchp oints."
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    Findings from Al-Azhar University Advance Knowledge in Machine Learning (Predict ive Machine Learning Model to Assess the Adsorption Efficiency of Biochar-Heavy Metals for Effective Remediation of Soil-Plant Environment)

    31-32页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on artificial intelligence is now available. According to news reporting out of Assiut, Egypt, by NewsRx e ditors, research stated, "Biochar is crucial for agricultural output and plays a significant role in effectively eliminating heavy metals (HMs) from the soil, w hich is essential for maintaining a soil-plant environment. This work aimed to a ssess machine learning models to analyze the impact of soil parameters on the tr ansformation of HMs in biochar-soil-plant environments, considering the intricat e non-linear relationships involved." Financial supporters for this research include National Nature Science Foundatio n of China; Low Carbon Agriculture And Carbon Neutralization Research Center; Ag ricultural Competitive Industry Discipline Team Building Project of Guangdong Ac ademy of Agricultural Sciences; Science And Technology Planning Project of Guang dong Province China.
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    Data from Medical University Innsbruck Provide New Insights into Robotics (Robot -Assisted 2D Fluoroscopic Needle Placement-A Phantom Study)

    32-33页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on robotics have been pr esented. According to news originating from Innsbruck, Austria, by NewsRx editor s, the research stated, "Rationale and To evaluate the targeting accuracy of an ovel robot-assisted guidance technique relying on one pair of 2D C-arm images. I n total, 160 punctures were carried out semi-automatically by using a novel robo tic device." Financial supporters for this research include Stiftung Propter Homines, Vaduz, Liechtenstein. Our news reporters obtained a quote from the research from Medical University In nsbruck: "The needle's paths were planned based on one pair of 2D fluoroscopic i mages from different angles. Conically shaped aluminum tips inside a gelatin-fil led plexiglass phantom served as targets. The accuracy of the needle placement w as assessed by taking control CTs and measuring the Euclidean distance (ED) and normal distance (ND) between the needle and the target point. In addition, the p rocedural time per needle placement was evaluated. The accomplished mean NDs at the target for the 45°, 60°, 75° and 90° angles were 1.86 mm (SD ± 0.19), 2.68 m m (SD ± 0.18), 2.19 mm (SD ± 0.18) and 1.86 mm (SD ± 0.18), respectively. The co rresponding mean EDs were 2.32 mm (SD ± 0.16), 2.68 mm (SD ± 0.18), 2.65 mm (SD ± 0.16) and 2.44 mm (SD ± 0.15). The mean duration of the total procedure, inclu ding image acquisition, trajectory planning and placement of four needles sequen tially, was 12.7 min."
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    Neu-Ulm University of Applied Sciences Reports Findings in Robotics (Opportuniti es, Risks, Strengths and Weaknesses of Robotic Systems in Early Neurological Reh abilitation)

    33-34页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Robotics is the subjec t of a report. According to news reporting originating in Neu-Ulm, Germany, by N ewsRx journalists, research stated, "Given the conference's focus on innovative healthcare solutions, our investigation into robotic assistance systems highligh ts crucial advancements in early motor rehabilitation, aligning closely with eme rging healthcare priorities. In combination with conventional therapy, the assis tance systems offer new possible therapy programs." The news reporters obtained a quote from the research from the Neu-Ulm Universit y of Applied Sciences, "They can be used to mobilize and move patients as early as possible. The paper discusses the possibilities that arise from their use and considers the obstacles that arise. As part of a qualitative survey, nine exper t interviews from different fields were conducted to guide them on robotic assis ted living systems. The results obtained were summarized by coding into categori es and evaluated. Our analysis of 148 coding points from nine expert interviews reveals significant insights into the strengths and weaknesses of robotic system s in neurorehabilitation. Each point was meticulously categorized to reflect its impact on both practice and patient outcomes, highlighting the practical implic ations of our findings. The results of the survey and the literature indicate a positive effect of robotic assistance systems in early rehabilitation."
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    Yangzhou University Reports Findings in Machine Learning (Machine learning-aided understanding of the structure-activity relationship: a case study of MoS2 supp orted metal-nonmetal pairs for the hydrogen evolution reaction)

    34-35页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news reporting from Yangzhou, People's Repub lic of China, by NewsRx journalists, research stated, "Understanding the structu re-performance relationship is crucial for designing highly active electrocataly sts, yet this remains a challenge. Using MoS supported metal-nonmetal atom pairs (XTM@MoS, TM = Sc-Ni, and X = B, C, N, O, P, Se, Te, and S) for the hydrogen ev olution reaction (HER) as an example, we successfully uncovered the structure-ac tivity relationship with the help of density functional theory (DFT) calculation s and integrated machine learning (ML) methods." Funders for this research include Six Talent Peaks Project in Jiangsu Province, Southeast University, National Natural Science Foundation of China.
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    Institute of General Practice Reports Findings in Artificial Intelligence (Physi cians' Attitudes Towards Artificial Intelligence: Results of the PEAK Project)

    35-35页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Artificial Intelligenc e is the subject of a report. According to news reporting out of Halle Saale, Ge rmany, by NewsRx editors, research stated, "Artificial intelligence (AI) is rapi dly reshaping the medical field. This study aimed to investigate the attitudes o f physicians towards AI in medical care using focus groups." Our news journalists obtained a quote from the research from the Institute of Ge neral Practice, "Most participants seemed to be open to the use of AI in medicin e if transparency in AI systems is ensured, regulatory barriers are addressed an d personal contact to the patient is maintained. This qualitative study allows i nsights into how German physicians perceive the use of AI in medical care."
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    University of West Attica Researcher Publishes New Studies and Findings in the A rea of Automation Control and Intelligent Systems (Encoder-Decoder Transformers for Textual Summaries on Social Media Content)

    35-36页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on automation control and intelligent systems is the subject of a new report. According to news originati ng from Athens, Greece, by NewsRx editors, the research stated, "Social media ha s a leading role to our lives due to radical upgrade of internet and smart techn ology." The news journalists obtained a quote from the research from University of West Attica: "It is the primary way of informing, advertising, exchanging opinions an d expressing feelings. Posts and comments under each post shape public opinion o n different but important issues making social media's role in public life cruci al. It has been observed that people's opinions expressed through social network s are more direct and representative than those expressed in face-to-face commun ication. Data shared on social media is a cornerstone of research because patter ns of social behavior can be extracted that can be used for government, social, and business decisions. When an event breaks out, social networks are flooded wi th posts and comments, which are almost impossible for someone to read all of th em. A system that would generate summarization of social media contents is neces sary."
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    Sapienza University of Rome Reports Findings in Robotics (Should Doctor Robot po ssess moral empathy?)

    36-37页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Robotics is the subjec t of a report. According to news originating from Rome, Italy, by NewsRx editors , the research stated, "Critics of clinical artificial intelligence (AI) suggest that the technology is ethically harmful because it may lead to the dehumanizat ion of the doctorpatient relationship (DPR) by eliminating moral empathy, which is viewed as a distinctively human trait. The benefits of clinical empathy-that is, moral empathy applied in the clinical context-are widely praised, but this praise is often unquestioning and lacks context."
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