Targeted generative data augmentation for automatic metastases detection from free-text radiology reports by Maede Ashofteh Barabadi, Xiaodan Zhu, Wai Yip Chan, Amber L. Simpson, Richard K. G. Do

“…In this study, we demonstrate how advancements in natural language processing, namely the instruction-following capability of recent large language models and extensive model pretraining, made it possible to automate metastases detection from radiology reports texts with a limited amount of gold-labeled data. …”
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Sensor-controlled fertigation management for higher yield and quality in greenhouse hydroponic strawberries by George Kerrigan Hutchinson, Lan Xuan Nguyen, Zilfina Rubio Ames, Krishna Nemali, Rhuanito Soranz Ferrarezi

“…The use of soil moisture sensors coupled with automated controllers that apply water when the substrate moisture drops below a set threshold has been proven efficient for select ornamental crops and citrus nursery crops but not for strawberries yet. …”
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Analysis of spatio-temporal fungal growth dynamics under different environmental conditions by Liselotte De Ligne, Guillermo Vidal-Diez de Ulzurrun, Jan M. Baetens, Jan Van den Bulcke, Joris Van Acker, Bernard De Baets

“…Abstract Traditionally, fungal growth dynamics were assessed manually, limiting the research to a few environmental conditions and/or fungal species. Fortunately, more automated ways of measurement are gaining momentum due to the availability of cheap imaging and processing equipment and the development of dedicated image analysis algorithms. …”
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Impact of lens autofluorescence and opacification on retinal imaging by Frank G Holz, Maximilian Pfau, Monika Fleckenstein, Raffael Liegl, Geena C Rennen, Marc Vaisband, Jan Hasenauer

“…Here, we report both lens opacification and AF metrics and the effect on automated image quality assessment.Methods 227 subjects (range: 19–89 years old) received quantitative AF of the lens (LQAF), Scheimpflug, anterior chamber optical coherence tomography as well as blue/green FAF (BAF/GAF), and infrared (IR) imaging. …”
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Enhanced Disc Herniation Classification Using Grey Wolf Optimization Based on Hybrid Feature Extraction and Deep Learning Methods by Yasemin Sarı, Nesrin Aydın Atasoy

“…The aim of this study was to classify lumbar disc herniations in a computer-aided, fully automated manner using magnetic resonance images (MRIs). …”
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Effects of Covid-19 Pandemic on School Dropout in Selected Primry Schools in Nyarusiza Sub-County Kisoro District. by Sibo, Dusabe Chris Jackson

“…Innovative approaches could be used such as applications of artificial intelligence in high-risk/high-traffic sites to enhance COVID-19 detection efficiency while protecting medical staff and the general public from cross-infections The government should establish a physical and automated platform for coordination and resource mobilization for support to the poor pupils and the most vulnerable groups affected by COVID-19-related lockdown.…”
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Korelasi Kadar Protein C-Reaktif dengan Rasio Kolesterol Total / HDL pada Penyandang Obes di RSUP Dr M Djamil Padang by Nanda Oktavia, Ellyza Nasrul, Efrida Efrida

“…Total cholesterol and HDL levels were measured using automated clinical chemicals with the enzymatic colorimetric method. …”
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Cutting-edge: bionanomaterial solutions in the battle against Severe Acute Respiratory Syndrome Coronavirus 2 by U. Saeed, R. Uppal, M. H. Najmi, I. Fazal, A. A. Khan, Z. Z. Piracha, M. R. Uppal, H. N. Ijaz, D. U. Ozsahin, B. Uzun, I. Ozsahin

“…Meanwhile, the domain of diagnostics has been revolutionized by the advent of Magnetic Nanoparticles (MNPs). Their role in automating nucleic acid extraction and purification has proven indispensable, particularly in the diagnostic milieu of SARS-CoV-2. …”
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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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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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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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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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