Internet-Based Abnormal Chromosomal Diagnosis During Pregnancy Using a Noninvasive Innovative Approach to Detecting Chromosomal Abnormalities in the Fetus: Scoping Review by Mega Obukohwo Sr Oyovwi, Ejiro Peggy Ohwin, Rume Arientare Rotu, Temitope Gideon Olowe

“… BackgroundChromosomal abnormalities are genetic disorders caused by chromosome errors, leading to developmental delays, birth defects, and miscarriages. …”
Get full text

Early Breast Cancer Detection Based on Deep Learning: An Ensemble Approach Applied to Mammograms by Youness Khourdifi, Alae El Alami, Mounia Zaydi, Yassine Maleh, Omar Er-Remyly

“…However, human interpretation of mammograms is often prone to diagnostic errors. This study addresses the challenge of improving the accuracy of breast cancer detection by leveraging advanced machine learning techniques. …”
Get full text

THE CONSTRUCTION OF A TYPOLOGY OF BRANCH BANKS ON THE BASIS OF CLUSTER ANALYSIS AND NEURAL NETWORKS by D. S. Kurushin, E. E. Vasilyeva

“…We implemented verification of a typology of banks by the neural network with the teacher: if the proposed typology is not true, the network will not be trained, or it will make errors corresponding to the ‘fallout’ from the classification. …”
Get full text

Measuring Surface Area of Skin Lesions with 2D and 3D Algorithms by Houman Mirzaalian Dastjerdi, Dominique Töpfer, Stefan J. Rupitsch, Andreas Maier

“…These errors are <1  cm2 and <5% for five test phantoms in our 3D case. …”
Get full text

EfficientNet-B0 outperforms other CNNs in image-based five-class embryo grading: a comparative analysis by Vincent Jaehyun Shim, Hosup Shim, Sangho Roh

“…Traditional methods, such as the Gardner grading system, rely on subjective human assessment of morphological features, leading to potential inconsistencies and errors. Artificial intelligence-powered grading systems offer a more objective and consistent approach by reducing human biases and enhancing accuracy and reliability. …”
Get full text

Mathematics Anxiety and Undergraduate Nursing Students: A Mixed Methods Study by Jen Austerberry, Thomas Mathew, Jacqueline Johnston, Maria Murphy, Kolsoom Safari, Christine Murray, Lisa McKenna

“…Around three‐quarters reported some level of fear of mathematics, while many lacked confidence, fear of making errors and/or harming patients and negative childhood experiences of mathematics. …”
Get full text

Fatigue life prediction and stresses applicability of TBCs by the virtual S-N curve method by Changcheng Xie, Chao Ma, Changhao Wang, Yudong Yao, Pinbo Huang

“…The minimum life area location for the morphology-related stresses is also located between the peak and middle. The maximum error in life prediction is minimized at 44.97% when the equivalent stress is used for life prediction of TBCs. …”
Get full text

Device Functionalities and Technology Acceptance for Innovations in Neonatal Ventilation and Enhanced, Immediate Newborn Care: International, Multicenter, Web-Based Survey Study by Anna-Sophie Käferböck, Meggy Hayotte, Daniel Sieber, Martin Pillei, Martin Wald

“…Perceived usefulness (β=.76, P ConclusionsThere is an evident willingness to integrate sophisticated support techniques into a neonatal ventilation device for immediate newborn care.…”
Get full text

Enhanced Forecasting of Groundwater Level Incorporating an Exogenous Variable: Evaluating Conventional Multivariate Time Series and Artificial Neural Network Models by Md Abrarul Hoque, Asib Ahmmed Apon, Md Arafat Hassan, Sajal Kumar Adhikary, Md Ariful Islam

“…The current study conclusively proves the superiority of ANN over the time series models for the enhanced forecasting of GWL in the study area.…”
Get full text

Applying Robotic Process Automation to Monitor Business Processes in Hospital Information Systems: Mixed Method Approach by Adam Park, Se Young Jung, Ilha Yune, Ho-Young Lee

“…The bots were particularly useful in detecting delays and errors immediately following system updates or interactions with external services. …”
Get full text

Unraveling Patient Safety Culture Trends in U.S. Hospital Settings: A Yearly Retrospective Analysis by Hassan Alabdullah, Waldemar Karwowski

“…Promoting a “Just Culture” that prioritizes learning from errors is critical for advancing patient safety in healthcare settings, and enhancing reporting systems is required.…”
Get full text

Outcome metrics in recommended performance measurement tools for emergency department performance evaluation: a systematic review by Tytti Kristiina Toukola, Reija Katri Kyllikki Mertanen, Johanna Marjut Kaartinen, Eeva Anneli Tuunainen, Maaret Kaarina Castrén, Paulus Mikael Torkki

“…The outcome metrics recommended can be divided into the following five dimensions: reattendances, mortality, diagnostic and procedural errors and complications, diagnosis-specific survival rates, and patient experience. …”
Get full text

Evaluation of a pragmatic approach to predicting COVID-19-positive hospital bed occupancy by Azeem Majeed, Thomas Woodcock, Paul Aylin, Julian Redhead, Derryn Lovett, Jacques Naude

“…However, this approach requires continual monitoring of errors to ensure that the periods of poor performance are identified quickly.…”
Get full text

Acute toxicity of S-derivatives of 4-R-5-(thiophen-2-ylmethyl)-4H-1,2,4-triazoles by O. A. Suhak, O. I. Panasenko, Ye. G. Knysh

“…The basis of this method is the use of test substances in doses located on a logarithmic scale with an interval of 0.1, and all possible reliable LD50 results and their errors are calculated by pre-program of the probit analysis. …”
Get full text

Differences in Language Impairment Between Developmental Language Disorder and Autism: Insights From Mandarin and Constructions by Chaowei Nie, Yi (Esther) Su, Stephanie Durrleman, Xiaowei He

“…Results The results show that children with DLD and children with ALI differ in the errors committed when producing these two constructions. …”
Get full text

Risk of Bias Assessment of Diagnostic Accuracy Studies Using QUADAS 2 by Large Language Models by Daniel-Corneliu Leucuța, Andrada Elena Urda-Cîmpean, Dan Istrate, Tudor Drugan

“…An extensive list of reasoning errors was documented. <b>Conclusions</b>: This study demonstrates that LLMs can achieve a moderate level of accuracy in evaluating the RoB in diagnostic accuracy studies. …”
Get full text

Disc Diffusion Reader: an AI-powered potential solution to combat antibiotic resistance in developing countries by Hoang B Nguyen, Thanh L Phan, Thi T Ung, Thi KL Nguyen

“…A Human-in-the-Loop (HITL) approach enabled technicians to correct errors and improve model performance through retraining. …”
Get full text

Assessing the reliability of automatic sentiment analysis tools on rating the sentiment of reviews of NHS dental practices in England. by Matthew Byrne, Lucy O'Malley, Anne-Marie Glenny, Iain Pretty, Martin Tickle

“…<h4>Conclusions</h4>There is good agreement between the sentiment of an online review assigned by a group of humans and by cloud-based sentiment analysis. …”
Get full text

False Discovery Rates in PET and CT Studies with Texture Features: A Systematic Review. by Anastasia Chalkidou, Michael J O'Doherty, Paul K Marsden

“…However, the investigation of multiple indices on a single data set can lead to significant inflation of type-I errors. We report a systematic review of the type-I error inflation in such studies and review the evidence regarding associations between patient outcome and texture features derived from positron emission tomography (PET) or computed tomography (CT) images.…”
Get full text

Non-coding glucometers among pediatric patients with diabetes: looking for the target population and an accuracy evaluation of no-coding personal glucometer Glukometry bez kodowani... by Wojciech Fendler, Anna Hogendorf, Agnieszka Szadkowska, Wojciech Młynarski

“…Conclusions: The Contour TS system showed sufficient accuracy to be safely used in monitoring of pediatric diabetic patients. …”
Get full text