Isolation and Evaluation of Clinically Important Acinetobacter Baumannii From Intensive Care Unit Samples by Mohamed Mowfik Sehree, Hanaa N. Abdullah, Amani M. Jasim

“…The current findings suggest that automated Vitek 2 system is the most common method to accurately detect the isolates and evaluate multi-drug resistant A. baumannii among patients. …”
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Opening the digital doorway to sexual healthcare: Recommendations from a behaviour change wheel analysis of barriers and facilitators to seeking online sexual health information an... by Julie McLeod, Claudia S Estcourt, Jennifer MacDonald, Jo Gibbs, Melvina Woode Owusu, Fiona Mapp, Nuria Gallego Marquez, Amelia McInnes-Dean, John M Saunders, Ann Blandford, Paul Flowers

“…Barriers included low awareness of and familiarity with online information and support; perceptions that online information and support were unlikely to meet the needs of underserved populations; overwhelming volume of information sources; lack of personal relevancy; chatbots/automated responses; and response wait times. Facilitators included clarity about credibility and quality; inclusive content; and in-person assistance. …”
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Collaborative Development of Feedback Concept Maps for Virtual Patient–Based Clinical Reasoning Education: Mixed Methods Study by Anja Mayer, Inga Hege, Andrzej A Kononowicz, Anja Müller, Małgorzata Sudacka

“…When combined with virtual patients, automated feedback can be provided to the students’ concept maps. …”
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Using informative priors to account for identifiability issues in occupancy models with identification errors by Monchy, Célian, Etienne, Marie-Pierre, Gimenez, Olivier

“…When applied to passive bio-monitoring data, characterized by datasets requiring automated processing, this second source of error can no longer be ignored as misclassifications at both steps can lead to significant biases in ecological estimates. …”
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Development of a Robust UPLC Method for Simultaneous Determination of a Novel Combination of Sofosbuvir and Daclatasvir in Human Plasma: Clinical Application to Therapeutic Drug Mo... by Naser F. Al-Tannak, Ahmed Hemdan, Maya S. Eissa

“…A rapid and selective UPLC-DAD method was developed and validated for simultaneous analysis of the novel two-drug combination Darvoni® for the treatment of HCV: Sofosbuvir (SF)/Daclatasvir (DC) in human plasma using Ledipasvir as internal standard (IS) where the extraction process was conducted using automated SPE. Although the analysis of the combination after concomitant oral intake of two tablets of SF and DC individually was reported in literature, yet simultaneous analysis of this new combination in human plasma after a single oral dose was not previously reported. …”
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Natural Language Processing and Social Determinants of Health in Mental Health Research: AI-Assisted Scoping Review by Dmitry A Scherbakov, Nina C Hubig, Leslie A Lenert, Alexander V Alekseyenko, Jihad S Obeid

“…This LLM module was calibrated and tuned to automate many aspects of the review process. …”
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In Praise of Diversity in Participatory Heritage Planning Empowered by Artificial Intelligence: Windcatchers in Yazd by Mahda Foroughi, Tong Wang, Ana Pereira Roders

“…However, effectively involving diverse stakeholders and capturing the cultural significance they attribute to heritage remains a challenge, particularly when dealing with extensive datasets and multiple stakeholders. Although automated methods have shown potential in fields like digital humanities, their application in heritage planning is still limited. …”
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Classifying early apple scab infections in multispectral imagery using convolutional neural networks by Alexander J. Bleasdale, J. Duncan Whyatt

“…Early apple scab diagnosis based on NIR imagery may be automated using deep learning convolutional neural networks (CNNs). …”
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Using Deep Learning to Identify High-Risk Patients with Heart Failure with Reduced Ejection Fraction by Zhibo Wang, Xin Chen, Xi Tan, Lingfeng Yang, Kartik Kannapur, Justin L. Vincent, Garin N. Kessler, Boshu Ru, Mei Yang

“…**Discussion:** The DL approach can automate feature engineering during the model learning, which can increase the clinical applicability and lead to comparable or better model performance. …”
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SumGPT: A Multimodal Framework for Radiology Report Summarization to Improve Clinical Performance by Tipu Sultan, Mohammad Abu Tareq Rony, Mohammad Shariful Islam, Samah Alshathri, Walid El-Shafai

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The evolving roles of geophysics in environmental assessment, monitoring, and management of landfill leachate contaminant plumes: An overview by Joseph Omeiza Alao

“…Future research should focus on developing advanced data interpretation techniques, integrating geophysical data with other environmental monitoring data, and exploring the use of artificial intelligence for automated analysis and prediction of LLP behaviour, which ultimately aiding the environmental decision-makers in addressing ecological challenges and designing/managing landfill sites.…”
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A Framework for Early Detection of Acute Lymphoblastic Leukemia and Its Subtypes From Peripheral Blood Smear Images Using Deep Ensemble Learning Technique by Sajida Perveen, Abdullah Alourani, Muhammad Shahbaz, M. Usman Ashraf, Isma Hamid

“…Aiming at contribute to the early diagnoses of this life-threatening disease, we put forward automated platform for screening the presence of ALL concerning its specific subtypes (benign, Early Pro-B, Pro-B and Pre-B) using PBS images. …”
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Factors Associated with Midterm Visual Field Variability in Patients with Stable Glaucoma by Maria Emília V. Guimarães, Carolina P. B. Gracitelli, Syril Dorairaj, Fábio N. Kanadani, Tiago S. Prata

“…Baseline data assessed were age, gender, educational level, intraocular pressure (IOP), central corneal thickness, best-corrected visual acuity, spherical equivalent, number of hypotensive eye drops, type of glaucoma, number of VFs performed, follow-up in years, lens status, visual field index (VFI) values from the last 5 VF (standard automated perimetry (SAP)) tests, the presence or absence of central scotoma in the VF test, and the level of glaucomatous damage according to the VF mean deviation (MD) index of the last VFs. …”
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Automatic vessel segmentation and reformation of non-contrast coronary magnetic resonance angiography using transfer learning-based three-dimensional U-net with attention mechanism by Lu Lin, Yijia Zheng, Yanyu Li, Difei Jiang, Jian Cao, Jian Wang, Yueting Xiao, Xinsheng Mao, Chao Zheng, Yining Wang

“…This study aims to design and test an efficient artificial intelligence (AI) model capable of automating coronary artery segmentation and reformation from CMRA images for coronary artery disease (CAD) diagnosis. …”
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Continuous Speech-Based Fatigue Detection and Transition State Prediction for Air Traffic Controllers by Susmitha Vekkot, Surya Teja Chavali, Charan Tej Kandavalli, Rama Sai Abhishek Podila, Deepa Gupta, Mohammed Zakariah, Yousef Ajami Alotaibi

“…The continuous speech samples were prepared by the randomized concatenation of fatigue and non-fatigue chunks, each with a duration of approximately 15 seconds. Automated sequence labeling was performed on uniformly segmented continuous speech samples. …”
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The use of patient-generated health data in the management of low anterior resection syndrome: a qualitative study by Olivia Monton, Olivia Monton, Allister Smith, Sarah Sabboobeh, Marie Demian, Julie Cornish, Steven D. Wexner, Peter Christensen, Peter Christensen, Amandeep Ghuman, Liliana G. Bordeianou, Liliana G. Bordeianou, Liliana G. Bordeianou, Celia Keane, Celia Keane, Syed Husain, Alessandra Gasior, Alessandra Gasior, Natalie Leon, Julie Savard, Lieba R. Savitt, Margit Majgaard, Gitte Kjær Sørensen, Melanie Mills, Fateme Rajabiyazdi, Marylise Boutros, Marylise Boutros

“…Finally, some participants saw promise in leveraging PGHD to inform the creation of automated treatment algorithms for LARS management.ConclusionsThis study highlights many gaps in the processes of patient-generated LARS data collection and review. …”
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Developing an automatic treatment record review system for quality assurance of patient treatment delivery in radiation therapy by Peng Huang, Yingjie Xu, Fukui Huan, Yanxin Zhang, Min Ma, Kuo Men, Jianrong Dai

“…Tailored rules are designed for various review items to automate the review process. As a result, for each daily treatment record, a reviewed flag (pass, failure, warning, and N/A) is assigned by the TRRS. …”
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CAPTCHA as a Visual Performance Metric in Active Macular Disease by Gautam Vangipuram, Aaron Y. Lee, Kasra A. Rezaei, Lisa C. Olmos De Koo, Yewlin E. Chee, Jennifer R. Chao, Catherine Egan, Cecilia S. Lee

“…CAPTCHA (completely automated public turing test to tell computers and humans apart) was designed as a spam prevention test. …”
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Development and assessment of an intestinal tri-cellular model to investigate the pro/anti-inflammatory potential of digested foods by Marina Ramal-Sanchez, Chiara Bravo-Trippetta, Veronica D’Antonio, Elena Corvaglia, Angela A. M. Kämpfer, Roel P. F. Schins, Mauro Serafini, Donato Angelino

“…To test the model, different concentrations of in vitro digested broccoli (BD) were added to the apical section of the model.ResultsSupernatants from the basolateral compartment were collected and analyzed for cytokines production (IL-6, TNF-α, IL-12p70, IL-18 and IL-8) using automated ELISA (ELLA). Additionally, ZO-1 protein from the tight junctions of epithelial cells was analyzed by flow cytometry. …”
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Computing ecosystem risk hotspots: A mediterranean case study by Gianpaolo Coro, Laura Pavirani, Anton Ellenbroek

“…Traditional approaches evaluate single stressors, whereas complex models assess cumulative impacts of frequently interacting stressors and offer better accuracy at the expense of low cross-area re-applicability and long implementation times.We introduce a versatile, re-useable, and semi-automated workflow designed for big data-driven ecosystem risk assessment, utilising spatiotemporal data from open repositories. …”
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