Implementing Large Language Models in Health Care: Clinician-Focused Review With Interactive Guideline by HongYi Li, Jun-Fen Fu, Andre Python

“…With the rapid development of LLMs, clinicians face a growing challenge in determining the most suitable algorithms to support their work. ObjectiveWe aimed to provide clinicians and other health care practitioners with systematic guidance in selecting an LLM that is relevant and appropriate to their needs and facilitate the integration process of LLMs in health care. …”
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Sustainable Innovation: Harnessing AI and Living Intelligence to Transform Higher Education by Hesham Mohamed Allam, Benjamin Gyamfi, Ban AlOmar

“…However, while AI has the potential to improve education significantly, it also introduces challenges, such as ethical concerns, data privacy risks, and algorithmic bias. …”
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Mental health promotion in disasters: exploring the synergy of artificial intelligence, spirituality, and psychology: a SWOT analysis by Rasoul Fattahipour, Simintaj Sharififar, Fatemeh Teymouri, Maryam Azizi, Milad Ahmadi Marzaleh

“…Opportunities for improving the accuracy of care and integrating spiritual practices to accommodate diverse needs are also explored. In contrast, threats such as data privacy risks, algorithmic biases, and ethical concerns around informed consent and over-standardization of care are also addressed. …”
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Diagnostic Possibilities of Optical Coherent Tomography of the Retina during Compression in the Chiasm-Sellar Region by N. A. Gavrilova, E. E. Ioyleva, N. S. Gadzhieva, O. E. Tishchenko, N. Y. Kutrovskaya, A. V. Kuz’mina, A. V. Zinov’eva

“…In addition, a change in the thickness of GCC and RNFL can also be observed in the absence of chiasmatic compression in certain types of tumors and in the presence of comorbidities (arterial hypertension). …”
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A maChine and deep Learning Approach to predict pulmoNary hyperteNsIon in newbornS with congenital diaphragmatic Hernia (CLANNISH): Protocol for a retrospective study. by Ilaria Amodeo, Giorgio De Nunzio, Genny Raffaeli, Irene Borzani, Alice Griggio, Luana Conte, Francesco Macchini, Valentina Condò, Nicola Persico, Isabella Fabietti, Stefano Ghirardello, Maria Pierro, Benedetta Tafuri, Giuseppe Como, Donato Cascio, Mariarosa Colnaghi, Fabio Mosca, Giacomo Cavallaro

“…Moreover, we plan to produce a (semi)automatic fetus lung segmentation system in Magnetic Resonance Imaging (MRI), which will be useful during project implementation but will also be an important tool itself to standardize lung volume measures for CDH fetuses.…”
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Dataset of aerial photographs acquired with UAV using a multispectral (green, red and near-infrared) camera for cherry tomato (Solanum lycopersicum var. cerasiforme) monitoringDrya... by Osiris Chávez-Martínez, Sergio Alberto Monjardin-Armenta, Jesús Gabriel Rangel-Peraza, Zuriel Dathan Mora-Felix, Antonio Jesus Sanhouse-García

“…However, this multispectral imagery dataset can also have various uses, such as creating training datasets with accurate labels or classes which can then be used to develop, train, and/or validate machine learning algorithms for image classification, object detection tasks, or change detection analysis.…”
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A Heliocentric-orbiting Objects Processing System (HOPS) for the Wide Field Survey Telescope: Architecture, Processing Workflow, and Preliminary Results by Shao-Han Wang, Bing-Xue Fu, Jun-Qiang Lu, LuLu Fan, Min-Xuan Cai, Ze-Lin Xu, Xu Kong, Haibin Zhao, Bin Li, Ya-Ting Liu, Qing-feng Zhu, Xu Zhou, Zhen Wan, Jingquan Cheng, Ji-an Jiang, Feng Li, Ming Liang, Hao Liu, Wentao Luo, Zheng Lou, Hairen Wang, Jian Wang, Tinggui Wang, Yongquan Xue, Hongfei Zhang, Wen Zhao

“…HOPS integrates HelioLinC3D, an algorithm well suited for the WFST survey cadence, characterized by revisiting the same sky field twice on the majority of nights. …”
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Optical Characterization of Coastal Waters with Atmospheric Correction Errors: Insights from SGLI and AERONET-OC by Hiroto Higa, Masataka Muto, Salem Ibrahim Salem, Hiroshi Kobayashi, Joji Ishizaka, Kazunori Ogata, Mitsuhiro Toratani, Kuniaki Takahashi, Fabrice Maupin, Stephane Victori

“…These regions also tend to have lower <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>n</mi><msub><mrow><mi>L</mi></mrow><mrow><mi>w</mi></mrow></msub><mo>(</mo><mi>λ</mi><mo>)</mo><mo> </mo></mrow></semantics></math></inline-formula> values at shorter wavelengths. …”
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A comprehensive review of AI and machine learning techniques in antenna design optimization and measurement by Pradnya A. Gajbhiye, Satya P. Singh, Madan Kumar Sharma

“…It explores the use of various AI/ML algorithms such as neural networks, decision trees, genetic algorithms, and particle swarm optimization in this context. …”
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Gauge-fixing quantum density operators at scale by Amit Jamadagni, Eugene Dumitrescu

“…We provide a theory, algorithms, and simulations of nonequilibrium quantum systems using a one-dimensional (1D) completely positive (CP), matrix-product (MP) density-operator (ρ) representation. …”
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Human rights, vulnerability and artificial intelligence: an analysis in constitutional perspective by Jorge Castellanos Claramunt

“…It identifies areas where the advancement of AI may generate adverse effects on citizens’ rights, underlining the importance of adapting this technological progress to the protection of human rights. It also highlights the risk of algorithmic biases in the processing of personal data, highlighting the need to protect the privacy and data of individuals as fundamental elements to ensure an AI that respects human rights. …”
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An Improved Feedback Network Superresolution on Camera Lens Images for Blind Superresolution by Yuhao Liu

“…Due to different camera lens (smartphone and DSLR) databases, we perform two series of experiments under two camera lenses-based City100 databases, respectively, to choose the optimum network structures; experiments make it clear that different camera lens-based databases have different optimum network structures. We also compare our two ISRFNs with the state-of-the-art algorithms on performance; experiments show that our proposed ISRFN outperforms other state-of-the-art algorithms.…”
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A network-based approach for predicting missing pathway interactions. by Saket Navlakha, Anthony Gitter, Ziv Bar-Joseph

“…Unlike existing algorithms for predicting general protein interactions, by focusing on proteins involved in specific responses our approach homes-in on pathway-consistent interactions. …”
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Invertible networks-based method with dual-embedding and attack layer for robust audio watermarking by ZHANG Xulong, QU Xiaoyang, LI Pengcheng, XIAO Chunguang, WANG Jianzong

“…Traditional methods rely on algorithms designed based on expert experience to embed watermarks into the time domain or transform domain of signals. …”
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Computational Modeling of Ganglion Cell Bicolor Opponent Receptive Fields and FPGA Adaptation for Parallel Arrays by Hui Wei, Wenbo Yao

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Parallel development of social behavior in biological and artificial fish by Joshua D. McGraw, Donsuk Lee, Justin N. Wood

“…Abstract Our algorithmic understanding of vision has been revolutionized by a reverse engineering paradigm that involves building artificial systems that perform the same tasks as biological systems. …”
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Analysis of user interaction with virtual objects in augmented reality applications by M. V. Alpatova

“…Currently, there are many different algorithms that allow the recognition of anchor points in flat images and in space. …”
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Biobjective Scheduling for Joint Parallel Machines with Sequence-Dependent Setup by Taking Pareto-Based Approach by Wichai Srisuruk, Kanchala Sudtachat, Paramate Horkaew

“…The resultant manufacturing plans obtained by these algorithms are thoroughly assessed and discussed.…”
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An Overview of Application of Machine Learning Models in Urban Flood Simulation and Forecasting by CHEN Zeming, FANG Xuhong, LI Jiaye, WANG Mengyao, CHEN Aifang, YIN Ling

“…Additionally, this paper also focused on the research on urban flood simulation and forecasting models based on machine learning algorithms published in the recent five years, summarized the technical processes for urban flood simulation and forecasting models based on machine learning algorithms, and proposed several current technological bottlenecks and potential solutions. …”
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Technological Transformations in the Audiovisual Media Industry: A Case Study of Netflix by Nadir LAMARI & Ahmed Mahdi ZOUAOUI

“…The article also considers the social and cultural ramifications of these technological shifts, exploring how Netflix influences viewer preferences and public culture while navigating ethical considerations inherent in algorithmic recommendations. …”
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