Results 181 to 190 of about 194,487 (259)

Breastfeeding in term and preterm infants with and without growth restriction: A 50‐year analysis of incidence and duration

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective The aim of the present study was to analyze breastfeeding rates and duration in relation to preterm birth, fetal growth restriction, and demographics over five decades. Methods This retrospective cohort study included 1559 individuals (aged 4–52 years) and their parents from the University Medical Center Mainz, Germany.
Achim Fieß, Alica Hartmann, Eva Mildenberger, Julia Winter, Mareike Ernst, Jonas Tesarz, Michael S. Urschitz, Norbert Pfeiffer, Alexander K. Schuster, Sandra Gißler, Dirk Wackernagel   +10 more
wiley   +1 more source

Artificial intelligence after the bedside: co-design of AI-based clinical informatics workflows to routinely analyse patient-reported experience measures in hospitals. [PDF]

BMJ Health Care Inform
Canfell OJ, Chan W, Pole JD, Engstrom T, Saul T, Daly J, Sullivan C.   +6 more
europepmc   +1 more source

Enhancing agreement in cardiotocography interpretation between midwives and obstetricians through a rule‐based AI program: A comparative cross‐sectional study

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective To evaluate whether a rule‐based artificial intelligence (AI) program can enhance interrater agreement in cardiotocography (CTG) interpretation between nurse–midwives and obstetricians. Methods CTG data from 50 singleton pregnancies at ≥32 weeks of gestation were used to develop a rule‐based AI program based on National Institute of ...
Sriwipa Kaewsrinual, Nutta Homdee, Thanapa Rekhawasin Pinnington, Supitchaya Surasereewong, Pharuhas Chanprapaph   +4 more
wiley   +1 more source

Managing maternity: Moving care, not patients, using artificial intelligence (AI), internet‐of‐things (IOT) and point‐of‐care testing (POCT) devices

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract The integration of artificial intelligence (AI) into healthcare is accelerating and maternity care is at a pivotal moment for the strategic implementation of these technologies. This article explores how AI‐assisted women's health innovations, often termed “FemTech,” may transform pregnancy care by addressing long‐standing disparities ...
Lin Foo, Mahesh Choolani, Aris Papageorghiou, Hema Divakar, Hassan Shehata, Nir Melamed, Gabriel Jones, Vyta Senikas, Eline M. Van der Beek, Nandita Palshetkar, Gabrielle Saccone, Vincenzo Berghella, Justin Konje, Bhaskar Bhatt, Augusto Cam, Moses Obimbo, Anne Beatrice Kihara, Moshe Hod   +17 more
wiley   +1 more source

Clinical Informatics Shared Resource [PDF]

, 2020
openaire   +1 more source

Investigate the Effects of Preeclampsia Severity, Race and Fetal Sex on Subsequent Maternal Complications Using EHR Data From Over 100,000 Pregnancies

iMetaMed, EarlyView.
We examined Preeclampsia‐associated comorbidities in the UM Discovery Cohort using confounder‐adjusted models, validated across UK Biobank, Cedars‐Sinai, and Vanderbilt, revealing condition‐specific risks supported by OR estimates and KM survival curves.
Xiaotong Yang, Haoming Zhu, Leyang Tao, Raelynn Chen, Jui‐Hsuan Chang, Zhiping P. Wang, Elizabeth S. Langen, Ashley M. Hesson, Cosmin A. Bejan, Ruowang Li, Lana X. Gamire   +10 more
wiley   +1 more source

Clinical Trials Informatics System [PDF]

, 2020
openaire   +1 more source

Bizard: A Community‐Driven Platform for Accelerating and Enhancing Biomedical Data Visualization

iMetaMed, EarlyView.
Bizard is an open‐source platform that consolidates customizable biomedical data visualization scripts, providing an intuitive interface, tutorials, and community support to enhance analysis and accelerate progress in precision medicine. https://openbiox.github.io/Bizard/ ABSTRACT Biomedical research increasingly relies on heterogeneous, high ...
Kexin Li, Hu Zheng, Kexin Huang, Yinying Chai, Yujie Peng, Chunyang Wang, Xuyang Yi, Zilun Jin, Hong Yang, Yun Peng, Ying Shi, Xinhe Lu, Jiarui Bian, Yirun Wang, Rongao Kou, Demin Gao, Hanbo Zhao, Juan Zhang, Dan Huang, Kaiyu Zhu, Chenxu Wu, Zeruo Yang, Zheng Kuang, Bin Yan, Mo Liu, Zhiwei Bao, Yuzhong Peng, Benben Miao, Jianming Zeng, Jianfeng Li, Peng Luo, Shixiang Wang   +31 more
wiley   +1 more source

Bridging clinical informatics and implementation science to improve cancer symptom management in ambulatory oncology practices: experiences from the IMPACT consortium. [PDF]

JAMIA Open
McCleary NJ, Merle JL, Richardson JE, Bass M, Garcia SF, Cheville AL, Mitchell SA, Jensen R, Minteer S, Austin JD, Tesch N, DiMartino L, Hassett MJ, Osarogiagbon RU, Wong S, Schrag D, Cella D, Smith AW, Smith JD, IMPACT Consortium .   +19 more
europepmc   +1 more source

Chromatin unwinding state for in situ identification and lineage tracing of circulating tumor cells

iMeta, EarlyView.
The detection of circulating tumor cells (CTCs) through liquid biopsy offers a non‐invasive approach for accurately monitoring cancer dissemination and evaluating therapeutic efficiency. However, their rarity and heterogeneity limit conventional tumor antigen labelling‐based methods in identifying and tracing CTCs.
Bin Ye, Zhen Wang, Yinqi Bai, Xu Zhang, Rui Zhang, Jingru Lian, Xuefei Liu, Yan Zhang, Zhiyuan Xu, Li Yang, Haiman Jin, Fang Chen, Zhihao Xie, Ping Zhou, Jun Tan, Shan Zeng, Changzheng Du, Yang Min, Xiaomin Ni, Jingxian Duan, Zhicheng Li, Hui Yang, Yunpeng Cai, Hongyan Wu, Catherine C. Liu, Jing Cai, Yi Lu, Jian Zhang, Hao Wu, Hairong Zheng, Longqi Liu, Xin Hong, Hao Yu   +32 more
wiley   +1 more source