Results 211 to 220 of about 162,021 (290)

Research progress on the depth of anesthesia monitoring based on the electroencephalogram

open access: yesIbrain, Volume 11, Issue 1, Page 32-43, Spring 2025.
Electroencephalogram (EEG) can noninvasive, continuous, and real‐time monitor the state of brain electrical activity, and the monitoring of EEG can reflect changes in the depth of anesthesia (DOA). The development of artificial intelligence can enable anesthesiologists to extract, analyze, and quantify DOA from complex EEG data.
Xiaolan He, Tingting Li, Xiao Wang
wiley   +1 more source

A rare case of postpartum paraplegia due to spinal intradural hematoma. [PDF]

open access: yesSurg Neurol Int
Randhawa AS   +6 more
europepmc   +1 more source

Magnesium Silicate Composite Patch With Neurovascular Regenerative Properties Promotes Diabetic Wound Healing in Mice

open access: yesInterdisciplinary Materials, EarlyView.
The PCL‐PLLA‐MgSiO3 composite patch fabricated via electrospinning demonstrates superior therapeutic effects on diabetic wound healing compared to commercially available products, especially neurovascular network recovery. This will provide a promising bioactive patch for future clinical diabetic wound management.
Shunxiang Xu   +10 more
wiley   +1 more source

Anesthetic Management for Delivery in Parturients with Heart Disease: A Narrative Review. [PDF]

open access: yesBiomedicines
Ahmadzadeh S   +6 more
europepmc   +1 more source

5‐HT3 receptor antagonists for preventing postoperative nausea and vomiting after gynecological surgery: A systematic review and network meta‐analysis

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract Background Gynecological surgery is generally associated with a high risk of postoperative nausea and vomiting (PONV), for which a combination of antiemetic therapies is advised, but adherence to these protocols is often low. Given the current reality, a preferred 5‐HT3 receptor antagonist for preventing PONV as a result of gynecological ...
Hongxia Xu   +7 more
wiley   +1 more source

Dynamic machine learning models for predicting cesarean delivery risk in women with no prior cesarean delivery: A retrospective nationwide cohort analysis

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective To develop and validate advanced machine learning (ML) models for predicting unplanned intrapartum cesarean deliveries in women with no previous cesarean delivery, using both static and dynamic clinical data. Methods A retrospective cohort study was conducted using nationwide data from a large integrated healthcare provider ...
Ido Givon   +7 more
wiley   +1 more source

Cancer in pregnancy: FIGO Best practice advice and narrative review

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract Cancer during pregnancy is relatively rare. The incidence is underestimated due to the lack of international registries covering both high‐income and low‐ and middle‐income countries, and is expected to rise with increasing maternal age and increasing global adoption of cell‐free DNA testing for aneuploidy.
Surabhi Nanda   +29 more
wiley   +1 more source

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