Results 201 to 210 of about 18,375 (295)

Improving the consistency and reproducibility of first-trimester nasal bone assessment: a new classification in a low-risk population. [PDF]

BMC Pregnancy Childbirth
Song WL, Ma HO, Han L, Li HR, Cui MY, Yang QW, Huang QW, Zhang LY, Xu X, Nan Y, Zhu C.   +10 more
europepmc   +1 more source

"<i>Inter inextricabiles... difficultatum tenebras</i>": Ficino's <i>Pimander</i> and the Gendering of Cartesian Subjectivity

, 1998
Michael H. Keefer
openalex   +2 more sources

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

Artificial Intelligence Research as a Continuous Clinical Service. [PDF]

Mayo Clin Proc Digit Health
Xu Y, Dodhia R, Lavista Ferres JM, Weeks WB.   +3 more
europepmc   +1 more source

Inter-brain desynchronization in social interaction: a consequence of subjective involvement? [PDF]

Tom Froese, Chen Lam Loh, Finda Putri
openalex   +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

Standardizing Prostate MRI Reporting in Active Surveillance for Prostate Cancer: The PRECISE Framework. [PDF]

J Korean Soc Radiol
Kim MJ, Kang KA, Kim CK.
europepmc   +1 more source

A dam‐inspired textile patch with layer‐by‐layer isovolumetric water transport for sweat loss monitoring

InfoMat, EarlyView.
A dam‐inspired textile patch for controllable and quantitative sweat transport (as in dams transporting ships) and sweat loss monitoring. Unlike the conventional Janus‐structured textile of directional water transport model, this textile patch features a multi‐laminated all‐porous fabric structure with an unprecedented layer‐by‐layer isovolumetric ...
Mengyuan Liu, Tong Zhang, Hao Shen, Yujie Liu, Siyuan Liu, Changlei Ge, Dengfeng Zhou, Yongfeng Wang, Mingxu Wang, Feng Wen, Qiang Gao, Lianhui Li, Zuoping Xiong, Shuqi Wang, Ting Zhang   +14 more
wiley   +1 more source

Tool for Nursing Acuity Measurement - Swedish version (NAM-S) for somatic in-patient care: development, validity, and reliability. [PDF]

BMC Health Serv Res
Dellesjö K, Engström M, Björkman A, Myrberg K.   +3 more
europepmc   +1 more source

Implicit sequence learning: Inter-stimulus interval and subjective experience

, 2018
Emese Hallgató, Gáspár Lukács, Katalin Huszár   +2 more
openalex   +2 more sources