Results 191 to 200 of about 56,070 (265)

Incidence and pathophysiology of gastrointestinal bleeding during mechanical circulatory support: A retrospective analysis using machine learning algorithms. [PDF]

J Extra Corpor Technol
Gore K, Linder D, Duque JJM, Wang J, Rudnicki C, Alexis Ruiz A, Yockelson S, Nossaman B.   +7 more
europepmc   +1 more source

Lymphocyte Micronucleus Formation Is Driven by Inflammation‐Induced Oxidative DNA Damage in Oesophageal Cancer Development

International Journal of Cancer, EarlyView.
Chromosomal instability is a hallmark of cancer, but minimally invasive ways to detect systemic DNA damage and cancer risk remain limited. Here, using patient blood samples, the authors investigated lymphocyte micronuclei (MN) frequency as a potential marker of DNA damage across the progression from gastroesophageal reflux disease to Barrett's ...
Kathryn Munn, Rachel Lawrence, Hasan Haboubi, Hamsa Naser, Kate Hurlow, Ume‐Kulsoom Shah, Lisa Williams, Sarah Gwynne, Owen Bodger, Jiri Zavadil, Francois Virard, Shareen Doak, Laura E. Thomas, Gareth Jenkins   +13 more
wiley   +1 more source

Transforming lung transplantation with artificial intelligence: a narrative review from organ allocation to post-transplant management. [PDF]

J Thorac Dis
Luo W, Tang G, Yang F, Xu J, Yang C, Xu X, Wang S.   +6 more
europepmc   +1 more source

Obstetrics and gynecology devices designed for low‐ and middle‐income countries: A narrative review

International Journal of Gynecology &Obstetrics, Volume 169, Issue 1, Page 71-80, April 2025.
Abstract There are many barriers contributing to poor health outcomes for women in low‐ and middle‐income countries (LMICs), one of which is the lack of necessary medical devices. Presently, the development of various kinds of devices intended to improve women's health outcomes specifically in LMICs remains underrepresented in the literature; therefore,
Dhanalakshmi Thiyagarajan, Enaam A. Adanu, K. Rivet Amico   +2 more
wiley   +1 more source

Computer-assisted analysis of pleural and subpleural lung ultrasound correlates with oxygenation in preterm infants. [PDF]

Sci Rep
Zhang SKX, Foo GWC, Rogerson SR, Abraham N, Kee P, Zayegh A, Tingay DG, Davis PG, Manley BJ, Sett A.   +9 more
europepmc   +1 more source

Predicting the frequent exacerbator phenotype in COPD: development and validation of a multicenter real-world prediction model. [PDF]

BMC Med Inform Decis Mak
Peng H, Zhou Y, Lu S, Nie Y, Zhang J, Yang J.   +5 more
europepmc   +1 more source

Can algorithms come to the rescue of a failing heart? Machine learning, artificial intelligence, and decision-making in cardiogenic shock. [PDF]

J Anesth Analg Crit Care
Bottussi A, Wieruszewski PM, Bignami EG, Swol J, Buda KG, Cheungpasitporn W, Elmadhoun O, D'Andria Ursoleo J.   +7 more
europepmc   +1 more source

Organ cross-talk in anaesthesia: Heart, brain, kidney, lung interactions, and the emerging role of artificial intelligence. [PDF]

Indian J Anaesth
Vijapurkar S, Singha SK, Sravani J, Sandeep G.   +3 more
europepmc   +1 more source

Prediction of Chronic Obstructive Pulmonary Disease Using Machine Learning, Clinical Summary Notes, and Vital Signs: A Single-Center Retrospective Cohort Study in the United States. [PDF]

Adv Respir Med
Meng S, Sagreiya H, Orangi-Fard N.
europepmc   +1 more source