Results 281 to 290 of about 395,110 (339)

The Optimal Emergency Department Management of Out‐of‐Hospital Supraglottic Airways

open access: yes
Academic Emergency Medicine, EarlyView.
Aaron E. Robinson   +3 more
wiley   +1 more source

Genetics of infertility and “assisted fertilization” in the Bible: The case of Abraham and his family

open access: yesAndrology, EarlyView.
Abstract Couple infertility is a very ancient medical condition. One of the first descriptions of familial infertility/subfertility is contained in the first book of the Bible, Genesis, written in the 10th century BC and reporting tales from the oral tradition even occurred about 800 years earlier.
Manuela Simoni   +2 more
wiley   +1 more source

Needle of Death Thromboelastography Tracings in Severely Bleeding Trauma Patients: A Novel Predictor of Hemorrhagic Blood Failure and Futile Resuscitation?

open access: yes
Academic Emergency Medicine, EarlyView.
Connor M. Bunch   +9 more
wiley   +1 more source

Medical education in obstetrics and gynecology: A global update from 2025

open access: yesActa Obstetricia et Gynecologica Scandinavica, EarlyView.
OB‐GYN education is undergoing a global transformation driven by simulation, competency‐based training, and digital innovations, while international standards aim to reduce persistent resource gaps and improve equitable learning. Abstract As medical knowledge and technologies rapidly evolve, curricula have become increasingly dense, and designing ...
Florian Recker   +5 more
wiley   +1 more source

Safe bedside percutaneous placement of a flexible microaxial flow pump for right ventricle failure: Case reportCentral Message

open access: yesJTCVS Techniques
John Levasseur, DO   +6 more
doaj   +1 more source

Defining and Measuring Emergency Physician Productivity: Development of a Consensus‐Based Productivity Index

open access: yes
Academic Emergency Medicine, EarlyView.
Rohit Gandhi   +4 more
wiley   +1 more source

Machine Learning‐Based Prediction of Life‐Threatening Complications During Hemodialysis in Hospitalized Patients With Poor General Conditions

open access: yesArtificial Organs, EarlyView.
A machine learning model using predialysis data predicted sudden events during or after hemodialysis with high accuracy (auROC: 0.889). The key predictors included emergency hospitalization, recent surgery, high heart rate, low albumin levels, and high CRP.
Naotaka Kato   +11 more
wiley   +1 more source

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