Using the phantom 4 RTK drone for photogrammetry to create topographic plan of road by El Atiq Jaouad, El Harti Abderrazak

“…This was followed by manual intervention to increase the accuracy of the desired output. …”
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An integrated deep learning model for early and multi-class diagnosis of Alzheimer’s disease from MRI scans by Emanuel Raju Vinukonda, B. N. Jagadesh

“…A novel feature selection method based on average correlation and error probability is employed to enhance classification efficiency. …”
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Effects of Pharmacotherapy on Combat-Related PTSD, Anxiety, and Depression: A Systematic Review and Meta-Regression Analysis. by Timothy W Puetz, Shawn D Youngstedt, Matthew P Herring

“…Hedges' d effect sizes were computed and random effects models estimated sampling error and population variance. The Johnson-Neyman procedure identified the critical points in significant interactions to define regions of significance.…”
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Making better clinical decisions: How doctors can recognise and reduce bias and noise in medical practice by Isaac KS Ng, Wilson GW Goh, Norshima Nashi, Satya Gollamudi, Manjari Lahiri, Daniel J Morgan, Tow Keang Lim

“…In this article, we highlight the importance of learning foundational principles of clinical reasoning and understanding how cognitive errors happen in medical training, and suggest a series of educational pedagogies and workplace-based interventions that could help to cultivate and optimise medical decision-making in real-world practice.…”
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Codesigning consumer engagement strategies with ethnic minority consumers in Australian cancer services: the CanEngage Project protocol by Reema Harrison, Elizabeth Manias, Afaf Girgis, Merrilyn Walton, Carlene Wilson, Holly Seale, Allan Ben Smith, Melvin Chin, Desiree Leone, Ashfaq Chauhan, Bronwyn Newman, Kathryn Joseph, Jiadai Li, Monika Latanik, Ramesh Walpola, Éidín Ní Shé, Thit Tieu

“…Strategies developed to enhance consumer engagement specifically in relation to preventing healthcare harm include questioning health professionals, raising concerns about possible mistakes or risks in care and encouraging patients and caregivers to report suspected errors. Patients from ethnic minority backgrounds are particularly vulnerable to unsafe care, but current engagement strategies have not been developed specifically for (and with) this population. …”
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АNALYSIS OF CLINICAL AND EXPERIMENTAL FORECASTING OF INFLUENCE OF ERGONOMICS OF DENTISTS WORK ON THE RESULT OF ENDONTIC TREATMENT by R.I. Ratushniy, N. Goderdzi, M.Yu. Goncharuk-Khomyn, S.B. Kostenko, I.V. Penzelyk, A.S. Chobeі

“…According to the results of modeling and theoretical justification of the implementation of the necessary ergonomic changes for each of the dentists of the study, the sample formulated a set of individual recommendations, the implementation of which in the workflow helped increase the effectiveness of endodontic interventions and reduce the number of errors. Conclusions. …”
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Enhanced data quality to improve malaria surveillance in Papua, Indonesia by Liony Fransisca, Faustina Helena Burdam, Enny Kenangalem, Annisa Rahmalia, Reynold Rizal Ubra, Christel H. A. van den Boogaard, Benedikt Ley, Nicholas M. Douglas, Jeanne Rini Poespoprodjo, Ric N. Price

“…The second CQI round reduced DHP prescribing errors from 17.1% (1111/6489) in the initial period to 5.7% (607/10,669) after the second CQI (Sep 2019–Jan 2020) and PQ prescribing errors from 17.4% (552/3175) to 3.4% (160/4659) over the same time interval, p < 001. …”
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Informed Consent for the Use of AI in the Process of Providing Medical Services by Katarzyna Wałdoch

“…The use of medical devices equipped with AI creates new types of risk, including the risk of algorithmic error, the risk of cyber-attack, and the risk of algorithmic mismatch (false-positive or false-negative results). …”
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A System for Surgeon Fatigue Monitoring in Robotic Surgery by Reenu Arikkat Paul, Abhilash Pandya

“…By identifying early signs of fatigue, the system facilitates immediate interventions, potentially preventing surgical errors. …”
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Artificial intelligence in breast oncology by Alexander Mundinger

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A Transformer-Based Multi-Scale Deep Learning Model for Lung Cancer Surgery Optimization by Pengfei Zhu, Tingmin Wang, Fan Yang, Meng Wang, Yunjie Zhang

“…Thorough evaluations, including ablation experiments, case analyses, and error analyses, prove the model&#x2019;s robustness and practical applicability in a clinical setting. …”
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Disorders of the Female Reproductive Tract in Chelonians: A Review by Emanuele Lubian, Giulia Palotti, Francesco Di Ianni, Alessandro Vetere

“…Diagnostic procedures include physical exams, imaging techniques (ultrasound, radiography, CT, endoscopy), and surgical interventions. A shared feature of many pathologies is the influence of management errors and the presence of non-specific clinical signs.…”
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The Guadaira Greenbelt (Seville): analysis and evaluation of a peri-urban rehabilitation proposal by David Cristell Gómez Montblanch, Manuel Jesús Marchena Gómez, Rafael Cámara Artigas

“…The conclusions highlight the errors related to the Mediterranean riparian plant formations, which is one of the most important weaknesses of the proposal. …”
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Influence of Treatment with Sodium Benzoate and Packaging on quality of Catla (Catla catla) steaks during Chilled Storage by Jaydip G Kedar, Asif U Pagarkar, Nikheel Bhojraj Rathod, Taufin E Baug

“…Sensory evaluation scores had high correlation with storage period and low relative error (P0) for control samples under AP and VP. Therefore, combination of SB at 2.0% and VP can be used effectively as an intervention for the preservation of chilled stored Catla steaks.…”
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Evaluating Assistive Technology Outcomes in Boccia Athletes with Disabilities Using AI-Based Kinematic Analysis by Wann-Yun Shieh, Yan-Ying Ju, Shiu-Yuan Yang, I-Chun Chen, Hsin-Yi Kathy Cheng

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Compared motor learning effects of motor cortical and cerebellar repetitive transcranial magnetic stimulation during a serial reaction time task in older adults by Saeid Khanmohammadi, Fatemeh Ehsani, Rasool Bagheri, Shapour Jaberzadeh

“…Reaction time (RT) and error rate (ER) were recorded before, immediately, and 48 h post-task. …”
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Medication reconciliation role and value in Alzheimer's disease treatment by Xueqian Shen, Qun Zhang, Wenliang Shao, Jianying Shi, Bing Liu

“…The number of medications prescribed, the quantity of the medication, medication error rate, therapeutic effect, adverse drug reactions, and satisfaction levels of family members and main caregivers were compared between the two groups. …”
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Dietary factors and predominant eye diseases in sub-Saharan African populations: A systematic review protocol. by Isaiah Osei Duah Junior, Kwadwo Owusu Akuffo, Josephine Ampong, David Owiredu, Bridget Senya Boateng, Anthony Danso-Appiah

“…The proposed review will systematically synthesize evidence on dietary factors associated with predominant eye disorders (cataracts, refractive error, glaucoma, diabetic retinopathy, age-related macular degeneration, and dry eye disease) in the sub-Saharan African population. …”
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Practice patterns in pediatric myopia management: Insights from a 2023 survey among Indian ophthalmologists by Lav Kochgaway, Anuradha Chandra, Ipsita Basu, Debarpita Chaudhury, Jitendra Jethani, Arup Bhaumik

“…These findings indicate a shift towards early intervention and evidence-based strategies in myopia control. …”
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Effects of pragmatics awareness instruction (PAI) in enhancing EFL learners’ communicative competence by Mihretu Yihunie Yalew, Dawit Amogne, Birhanu Simegn Chanie

“…The result from the IG participants was found statistically significant with a p-value, of p < 0.001; which is statistically significant with more than 99% probability of confidence and 1% probability of error. Similarly, the effect size of the IG was reported as d = 0.8 and above; which implies there was a strong positive effect relationship between PAI intervention and learners’ communicative competence improvement. …”
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