查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Surgery-Urinary Dive rsion is the subject of a report.According to news reporting originating from L iverpool,United Kingdom,by NewsRx correspondents, research stated, "Cystectomy is the gold standard treatment for muscle invasive bladder cancer. Robotic cyst ectomy has become increasingly popular owing to quicker post- operative recovery, less blood loss and less postoperative pain." Our news editors obtained a quote from the research from Royal Liverpool and Bro adgreen University Hospitals NHS Foundation Trust, "Urinary diversion is increas ingly being performed with an intracorporeal technique. Uretero-enteric strictur es (UES) cause significant morbidity for patients. UES for open cystectomy is 3- 10%, but the range is much wider (0-25%) for robotic s urgery. We aim to perform systematic review for studies comparing all 3 techniqu es, to assess for ureteric stricture rates. A systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-a nalyses (PRISMA) statement (Page et al. in BMJ 29, 2021). PubMed, Scopus and Emb ase databases were searched for the period January 2003 to June 2023 inclusive f or relevant publications.The primary outcome was to identify ureteric stricture rates for studies comparing open cystectomy and urinary diversion, robotic cyste ctomy with extracorporeal urinary diversion (ECUD) and robotic cystectomy with i ntracorporeal urinary diversion (ICUD). Three studies were identified and includ ed 2185 patients in total. The open operation had the lowest stricture rate (9.6 %), compared to ECUD (12.4%) and ICUD (15% ). ICUD had the longest time to stricture (7.55 months), ECUD (4.85 months) and the open operation (4.75 months). Open operation had the shortest operating time . The Bricker anastomoses was the most popular technique. Open surgery has the l owest rates of UES compared to both robotic operations.There is a learning curv e involved with performing robotic cystectomy and urinary diversion, this may ne ed to be considered to decide whether the technique is comparable with open cyst ectomy UES rates."
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 support vector machines is now available. According to news originating from Kerman, Iran, by NewsRx co rrespondents, research stated, "This study aims to map the non-sulphide Zinc (Zn )-bearing gossans at the Gujer Zn deposit area, Central Iran, using Landsat 8 Op erational Land Imager (OLI) and GeoEye-1 satellites. The colour composites, Prin cipal Component Analysis (PCA), and Support Vector Machine (SVM) were adopted fo r image analysis." The news journalists obtained a quote from the research from Graduate University of Advanced Technology: "Zn-bearing gossans contain Fe-oxyhydroxide minerals di splaying spectral characteristics in visible and infrared (IR) wavelengths. The application of colour composites using GeoEye-1 images resulted in the delineati on of gossans (real target) and ferruginous sandstones (false targets) having th e same colour tone in the study area. IR spectroscopy of ore samples showed that hemimorphite exhibits low absorption in shortwave infrared (SWIR) wavelengths. Consequently, the Crosta-PC analysis was conducted using bands 4, 5, SWIR-1, and SWIR-2 of Landsat OLI to enhance only ore gossans. Five target zones were speci fied using the Crosta technique. The SVM method was performed to increase the ac curacy of image analysis using the Radial Basis Function (RBF) kernel. The SVM-R BF method accomplished enhancing ore gossans by defining a new target zone. Acco rding to the results, the application of the Crosta technique using bands 4, 5, SWIR-1, and SWIR-2 of Landsat OLI can specify ore gossans and eliminate the inte rfering effect of ferruginous sandstones in similar geological settings."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on artificial intelligen ce have been presented. According to news reporting from Qingdao, People's Repub lic of China, by NewsRx journalists, research stated, "As artificial intelligenc e (AI) advances, it is critical to give conventional electronics the capacity to "think," "analyze," and "advise." The need for intelligent, self-powered device s has increased due to recent significant developments in the computer field, na mely, in the fields of AI and machine learning (ML)." Financial supporters for this research include The Shandong University Youth Inn ovation Team Development Plan.Our news correspondents obtained a quote from the research from Qingdao Universi ty: "The use of nanogenerators in the area of acoustics is examined in this Revi ew, with an emphasis on how they might be integrated with ML and AI. Innovative energy-harvesting devices called nanogenerators are able to produce electrical p ower from outside sources, such as vibrations in the air or mechanical movements . The study examines a number of acoustic applications for nanogenerators, such as energy harvesting, sound detection, noise monitoring, and acoustic sensing."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Eye Diseases and Condi tions - Ocular Hypertension is the subject of a report. According to news origin ating from Boston, Massachusetts, by NewsRx correspondents, research stated, "Th e Ocular Hypertension Treatment Study (OHTS) identified risk factors for primary open-angle glaucoma (POAG) in patients with ocular hypertension, including patt ern standard deviation (PSD). Archetypal analysis, an unsupervised machine learn ing method, may offer a more interpretable approach to risk stratification by id entifying patterns in baseline visual fields (VFs)."
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 new report. According to news reporting from Florence, Ita ly, by NewsRx journalists, research stated, "The Fourth Industrial Revolution co nceptualizes the rapid change of industries resulting from the convergence of te chnologies such as artificial intelligence, genetic editing, and advanced roboti cs that enable increasing interconnectivity and machines that can analyze and di agnosing problems without human intervention, through intelligent automation." The news journalists obtained a quote from the research from University of Flore nce: "In this scenario, the use of augmented reality technologies is of great in terest. The paper aims to explore the use of augmented reality in support of tra ditional inspections for assisting textile experts in fabric defect detection." According to the news reporters, the research concluded: "The contribution of th is study consists of three main phases, necessary for the future development of the system: (1) the analysis of possible automatic defect detection techniques; (2) the analysis of hardware solutions for the realization of a system based on important criteria such as operator comfort, system footprint, and so on; (3) th e proposal of a possible comprehensive solution. Considering these aspects this paper identifies and investigate the best scenario for the introduction of artif icial intelligence and augmented reality technologies to help the operator in th e detection of textile defects."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ma chine Learning. According to news reporting from Milan, Italy, by NewsRx journal ists, research stated, "Machine learning (ML) is increasingly used to implement advanced applications with nondeterministic behavior, which operate on the cloud –edge continuum. The pervasive adoption of ML is urgently calling for assurance solutions to assess applications' nonfunctional properties (e.g., fairness, robu stness, and privacy) with the aim of improving their trustworthiness." Funders for this research include European Union (EU), SEcurity and RIghts In th e CyberSpace under the NRRP Ministero dell'Universita e della Ricerca program - EU-NextGenerationEU.
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 from Guang zhou, People's Republic of China, by NewsRx correspondents, research stated, "In accurate Forrest classification may significantly affect clinical outcomes, espe cially in high risk patients. Therefore, this study aimed to develop a real-time deep convolutional neural network (DCNN) system to assess the Forrest classific ation of peptic ulcer bleeding (PUB)." Our news editors obtained a quote from the research from Southern Medical Univer sity, "A training dataset (3868 endoscopic images) and an internal validation da taset (834 images) were retrospectively collected from the 900th Hospital, Fuzho u, China. In addition, 521 images collected from four other hospitals were used for external validation. Finally, 46 endoscopic videos were prospectively collec ted to assess the real-time diagnostic performance of the DCNN system, whose dia gnostic performance was also prospectively compared with that of three senior an d three junior endoscopists. The DCNN system had a satisfactory diagnostic perfo rmance in the assessment of Forrest classification, with an accuracy of 91.2 % (95%CI 89.5%-92.6%) and a macro-average a rea under the receiver operating characteristic curve of 0.80 in the validation dataset. Moreover, the DCNN system could judge suspicious regions automatically using Forrest classification in real-time videos, with an accuracy of 92.0% (95%CI 80.8%-97.8%). The DCNN system show ed more accurate and stable diagnostic performance than endoscopists in the pros pective clinical comparison test. This system helped to slightly improve the dia gnostic performance of senior endoscopists and considerably enhance that of juni or endoscopists. The DCNN system for the assessment of the Forrest classificatio n of PUB showed satisfactory diagnostic performance, which was slightly superior to that of senior endoscopists."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on artificial intell igence are discussed in a new report. According to news reporting out of Beijing, People's Republic of China, by NewsRx editors, research stated, "Accurately es timating the breast muscle weight of broilers is important for poultry productio n. However, existing related methods are plagued by cumbersome processes and lim ited automation." Funders for this research include National Key Research And Development Program of China; National Key R&D Program of China. Our news journalists obtained a quote from the research from China Agricultural University: "To address these issues, this study proposed an efficient method fo r predicting the breast muscle weight of broilers. First, because existing deep learning models struggle to strike a balance between accuracy and memory consump tion, this study designed a multistage attention enhancement fusion segmentation network (MAEFNet) to automatically acquire pectoral muscle mask images from X-r ay images. MAEFNet employs the pruned MobileNetV3 as the encoder to efficiently capture features and adopts a novel decoder to enhance and fuse the effective fe atures at various stages. Next, the selected shape features were automatically e xtracted from the mask images. Finally, these features, including live weight, w ere input to the SVR (Support Vector Regression) model to predict breast muscle weight. MAEFNet achieved the highest intersection over union (96.35% ) with the lowest parameter count (1.51 M) compared to the other segmentation mo dels."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Surgical Procedures - Thoracoscopy is the subject of a report. According to news reporting originating in Gansu, People's Republic of China, by NewsRx journalists, research stated, " Comparing the clinical efficacy of thoracoscopy and robotic surgery in the treat ment of mediastinal tumors using meta-analysis. Computer retrieval of PubMed, Em base, The Cochrane Library, and Web of Science databases for literature comparin g the clinical effects of video-assisted thoracic surgery (VATS) and robot-assis ted thoracic surgery (RATS) in treating mediastinal tumors, with the retrieval t ime limit from the establishment of the database to September 2023." Financial support for this research came from Gansu Province Key R& D Project.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Robotics have been published. According to news reporting out of Strasbourg, France, by NewsR x editors, research stated, "In this article, a macro-mini aerial manipulator wi th elastic suspension is introduced. The mini is an omnidirectional aerial manip ulator suspended from the macro by a spring." Financial support for this research came from Agence Nationale de la Recherche ( ANR). Our news journalists obtained a quote from the research from the University of S trasbourg, "The macro is a Cartesian robot that moves the anchoring point of the spring. This design combines the advantages of the large workspace of the macro robot with the high dynamics of aerial vehicles, while reducing energy consumpti on thanks to gravity compensation. A partitioned control scheme is first impleme nted to regulate the aerial manipulator and its carrier separately. The redundan cy resolution strategy positions the macrorobot to minimize the energy consumpti on of the aerial manipulator at steady state. Then, a nonlinear model predictive controller replaces the partitioned controller to improve further the efficienc y of the combined system, notably by anticipating the slow dynamics of the macro robot. A sufficient condition for offset-free tracking has been investigated the oretically. Experiments with a cable-driven parallel robot as macro are carried out to assess the added value of the carrier."
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