Communicating neurological prognosis in the prenatal period: a narrative review and practice guidelines

Pediatric Research, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 14, 2025

Language: Английский

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Assessing the Role of Ultrasound Scanning in Improving Pregnancy Outcomes in Potiskum and Neighboring Rural Communities in Yobe State, Nigeria

Cureus, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 27, 2025

Background Accurate pregnancy dating is vital for timely prenatal interventions that reduce maternal and neonatal risks. In underserved areas such as Potiskum, Yobe State, Nigeria, limited awareness, poor healthcare access, cultural barriers hinder early detection, gestational age estimation, monitoring. While ultrasound, the gold standard pregnancies, could address these challenges, its impact in regions remains underexplored. Methods This retrospective cross-sectional study analyzed five years of data (2019-2023) from electronic health records (EHRs) Potiskum Medical Center. The included 15,862 women who resided within a 20-km radius underwent ultrasound scanning during pregnancy. Descriptive statistics were carried out to understand characteristics population, logistic regression models used evaluate associations between outcomes factors including scan frequency, age, educational attainment, socioeconomic status, parity, marital status. Results revealed first-trimester with one or two additional scans had significantly higher odds improved (adjusted ratio (AOR) = 2.26, 95% confidence interval (CI) 1.22-2.46, AOR 3.84, CI 0.34-0.58, respectively, p < 0.0001). contrast, third-trimester-only lower favorable (AOR 0.42, 0.31-0.52, 0.001). Maternal was also significant factor, younger (21-30 years) demonstrating highest 4.24, 0.28-0.86, Higher attainment status positively associated outcomes, tertiary education 2.84, 2.96-3.47, 0.001) high income 3.23-4.06, 0.0001) showing strongest effects. Moderate parity better while showed weaker 0.65, 1.28-2.86, Conclusion findings highlight transformative potential all-trimester use improving rural communities. Factors education, influence emphasizing need targeted promote equitable access quality antenatal care. Addressing gaps can improve contributing global efforts child mortality resource-limited settings. Further research needed explore develop strategies enhance care utilization regions.

Language: Английский

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Progress in the Application of Artificial Intelligence in Ultrasound-Assisted Medical Diagnosis

Bioengineering, Journal Year: 2025, Volume and Issue: 12(3), P. 288 - 288

Published: March 13, 2025

The integration of artificial intelligence (AI) into ultrasound medicine has revolutionized medical imaging, enhancing diagnostic accuracy and clinical workflows. This review focuses on the applications, challenges, future directions AI technologies, particularly machine learning (ML) its subset, deep (DL), in diagnostics. By leveraging advanced algorithms such as convolutional neural networks (CNNs), significantly improved image acquisition, quality assessment, objective disease diagnosis. AI-driven solutions now facilitate automated analysis, intelligent assistance, education, enabling precise lesion detection across various organs while reducing physician workload. AI’s error capabilities further enhance accuracy. Looking ahead, with is expected to deepen, promoting trends standardization, personalized treatment, healthcare, underserved areas. Despite potential, comprehensive assessments ethical implications remain limited, necessitating rigorous evaluations ensure effectiveness practice. provides a systematic evaluation technologies medicine, highlighting their transformative potential improve global healthcare outcomes.

Language: Английский

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Ensemble machine learning framework for predicting maternal health risk during pregnancy

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Sept. 14, 2024

Language: Английский

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Revolutionizing cleft lip and palate management through artificial intelligence: a scoping review

Oral and Maxillofacial Surgery, Journal Year: 2025, Volume and Issue: 29(1)

Published: April 10, 2025

Abstract Purpose Not much is known about the applications of artificial intelligence (AI) in cleft lip and/or palate. We aim to perform a scoping review synthesize literature last 10 years on integrating AI approach this condition and highlight aspects research into its prediction, diagnosis treatment. Methods A search was performed via PubMed, Science Direct, Scopus, LILACS from 2014 2024, which 649 articles were identified, 3 studies identified snowball method; title abstract 35 obtained for full reading. Finally, 25 selected after applying inclusion exclusion criteria execute review. Results The reviewed included different types studies, with observational experimental being frequent systematic reviews narratives less frequent. Similarly, there evidence generalized distribution, greater concentration United States. These analyzed according use applied lip/palate, obtaining 6 subcategories, including diagnosis, treatment, education, models included, most frequently using deep learning machine learning. Conclusion technologies promise optimize care patients condition. Although current advances are promising, further essential expand refine their beneficial use. has driven significant various stages palate approach, tools such as assisted algorithms, genetics-based predictive models, advanced surgical planning.

Language: Английский

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Biomimetic Robotics and Intelligence: A Survey

Published: April 15, 2025

ABSTRACT Biomimetic robotics and intelligence, which draws inspiration from biological systems, is an emerging field that bridges biology, engineering, artificial intelligence. By replicating structures, behaviors, sensory biomimetic are designed to operate effectively in diverse environments, such as humanoid robots for domestic use, quadruped uneven terrains, aerial navigation through confined spaces. grounded the study of natural cognitive processes, has led development advanced algorithms like genetic neural networks, optimize problem‐solving decision‐making robotic systems. These innovations enhance capabilities robots, enabling them perform complex tasks autonomously adapt dynamic conditions. This survey provides overview latest advancements focusing on key areas sensors sensing technologies, intelligence algorithms. It also discusses current challenges outlines potential directions future research.

Language: Английский

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Research advancements in the Use of artificial intelligence for prenatal diagnosis of neural tube defects

Frontiers in Pediatrics, Journal Year: 2025, Volume and Issue: 13

Published: April 17, 2025

Artificial Intelligence is revolutionizing prenatal diagnostics by enhancing the accuracy and efficiency of procedures. This review explores AI machine learning (ML) in early detection, prediction, assessment neural tube defects (NTDs) through ultrasound imaging. Recent studies highlight effectiveness techniques, such as convolutional networks (CNNs) support vector machines (SVMs), achieving detection rates up to 95% across various datasets, including fetal images, genetic data, maternal health records. SVM models have demonstrated 71.50% on training datasets 68.57% testing for NTD classification, while advanced deep (DL) methods report patient-level prediction 94.5% an area under receiver operating characteristic curve (AUROC) 99.3%. integration with genomic analysis has identified key biomarkers associated NTDs, Growth Associated Protein 43 (GAP43) Glial Fibrillary Acidic (GFAP), logistic regression 86.67% accuracy. Current AI-assisted technologies improved diagnostic accuracy, yielding sensitivity specificity 88.9% 98.0%, respectively, compared traditional 81.5% 92.2% specificity. systems also streamlined workflows, reducing median scan times from 19.7 min 11.4 min, allowing sonographers prioritize critical patient care. Advancements DL algorithms, Oct-U-Net PAICS, achieved recall precision 0.93 0.96, identifying abnormalities. Moreover, AI's evolving role research supports personalized prevention strategies enhances public awareness AI-generated messages. In conclusion, significantly improves leading greater As continues advance, it potential further enhance healthcare raise about ultimately contributing better outcomes.

Language: Английский

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Current Applications of Artificial Intelligence in Reproductive Medicine (and Predominant OB/GYN and Andrologic Conditions)

European Journal of Theoretical and Applied Sciences, Journal Year: 2025, Volume and Issue: 3(3), P. 110 - 122

Published: April 28, 2025

Artificial intelligence (AI) has increasingly permeated clinical domains, including reproductive medicine, where its applications span from gamete assessment to population-level epidemiology. The convergence of machine learning, deep natural language processing, and computer vision enabled novel diagnostic, predictive, decision-support tools that enhance efficiency patient outcomes. This paper provides a review current AI technologies in encompassing assisted technologies, prenatal care, maternal health, sexual contraceptive epidemiology, low-resource settings. Ethical, legal, social implications, as well challenges related data quality, validation, integration, are explored. Future opportunities explainable AI, precision medicine real-world evidence generation, global collaboration discussed. analysis underscores AI’s transformative potential highlights pathways for responsible deployment advance medicine.

Language: Английский

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Enhancing Obstetric Ultrasonography With Artificial Intelligence in Resource-Limited Settings

JAMA, Journal Year: 2024, Volume and Issue: 332(8), P. 626 - 626

Published: Aug. 1, 2024

Our website uses cookies to enhance your experience. By continuing use our site, or clicking "Continue," you are agreeing Cookie Policy | Continue JAMA HomeNew OnlineCurrent IssueFor Authors Journals Network Open Cardiology Dermatology Health Forum Internal Medicine Neurology Oncology Ophthalmology Otolaryngology–Head & Neck Surgery Pediatrics Psychiatry Archives of (1919-1959) Podcasts Clinical Reviews Editors' Summary Medical News Author Interviews More JN Learning / CMESubscribeJobsInstitutions LibrariansReprints Permissions Terms Use Privacy Accessibility Statement 2024 American Association. All Rights Reserved Search Archive Input Term Sign In Individual inCreate an Account Access through institution Purchase Options: Buy this article Rent Subscribe the journal

Language: Английский

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Equity and timeliness as factors in the effectiveness of an ethical prenatal sequencing service: reflections from parents and professionals

European Journal of Human Genetics, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 3, 2024

Prenatal sequencing tests are being introduced into clinical practice in many developed countries. In part due to its greater ability detect genetic variation, offering prenatal can present ethical challenges. Here we review issues arising following the implementation of English National Health Service (NHS). We analysed semi structured interviews conducted with 48 parents offered and 63 health professionals involved delivering service identify raised. Two main themes were identified: (1) Equity access (including around eligibility criteria, laboratory analytical processes, awareness education clinicians, fear litigation, geography, parental travel costs, private healthcare), (2) Timeliness impact on decision-making pregnancy (in context law termination pregnancy, absence results, "importance" results). Recognising both practical systemic that arise out a national is crucial. Although specific context, identified applicable services more broadly. Education will help mitigate some these issues.

Language: Английский

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