Results 91 to 100 of about 484,548 (372)

Mobile Facial Recognition System for Patient Identification in Medical Emergencies for Developing Economies [PDF]

open access: yes, 2016
Medical emergencies are part of the common daily lives of people in developing and under-developed economies. Frequently, some of these medical emergencies end up tragically for many people in these countries due to many reasons, among which is the ...
Nwosu, Kingsley C.
core   +3 more sources

Pre-hospital response to traffic accidents with mass casualties: qualitative content analysis [PDF]

open access: yesArmaghane Danesh Bimonthly Journal, 2023
Background & aim: One of the biggest challenges of the emergency medical system is to respond to accidents with a large number of injured people. In Iran, despite the great progress made in pre-hospital emergency services, there are many problems and ...
A Afrasiabi Far   +3 more
doaj  

Establishment and biological characterization of radioresistant colorectal cancer cell lines

open access: yesFEBS Open Bio, EarlyView.
Under ionizing radiation exposure, radiation‐sensitive cancer cells exhibit oxidative stress and DNA damage, while radiation‐resistant cancer cells exhibit strong antioxidant properties and DNA damage repair. Radiotherapy resistance is a major cause of recurrence and metastasis in colorectal cancer (CRC).
Tian‐Yin Qu   +10 more
wiley   +1 more source

Penalties for Emergency Medical Treatment and Labor Act Violations Involving Obstetrical Emergencies [PDF]

open access: yes, 2020
Introduction: The Emergency Medical Treatment and Labor Act (EMTALA) was intended to prevent inadequate, delayed, or denied treatment of emergent conditions by emergency departments (ED). While controversies exist regarding the scope of the law, there is
Arora, Sanjay   +4 more
core  

Avoiding medical emergencies [PDF]

open access: yesBritish Dental Journal, 2013
Medical emergencies can occur at any time in any location. This article and associated presentation at the forthcoming British Dental Conference Exhibition provide key advice on avoiding medical emergencies in dental practice; including advice on risk assessing all patients, understanding the importance of a checklist, and using a National Early ...
openaire   +3 more sources

Deep AUC Maximization for Medical Image Classification: Challenges and Opportunities [PDF]

open access: yesarXiv, 2021
In this extended abstract, we will present and discuss opportunities and challenges brought about by a new deep learning method by AUC maximization (aka \underline{\bf D}eep \underline{\bf A}UC \underline{\bf M}aximization or {\bf DAM}) for medical image classification.
arxiv  

Understanding and Overcoming Immunotherapy Resistance in Skin Cancer: Mechanisms and Strategies

open access: yesAging and Cancer, EarlyView.
This narrative review explores the mechanisms driving immunotherapy resistance in skin cancer, including tumor microenvironment factors, genetic mutations, and immune evasion strategies. It highlights potential strategies to overcome resistance, offering insights for improving therapeutic outcomes and guiding future research in personalized ...
Shreya Singh Beniwal   +8 more
wiley   +1 more source

THE PREVENTION OF MEDICAL EMERGENCY IN DENTAL PRACTICE

open access: yesRomanian Journal of Oral Rehabilitation, 2018
The diagnosis and management of medical emergencies represents a current issue for dental practitioners, considering the high prevalence of medical disorders, patients receiving polypharmacy as well as the preoperative fear and anxiety among patients ...
Forna Norin   +2 more
doaj  

Adrenal Crisis [PDF]

open access: yes, 2019
Glucocorticoid replacement therapy, available since the 1950s, has prolonged the survival of patients with adrenal insufficiency. However, adrenal crises, which are life-threatening medical emergencies, still develop in many affected patients.
Falhammar, Henrik   +2 more
core   +1 more source

Medical Image Segmentation with Domain Adaptation: A Survey [PDF]

open access: yesarXiv, 2023
Deep learning (DL) has shown remarkable success in various medical imaging data analysis applications. However, it remains challenging for DL models to achieve good generalization, especially when the training and testing datasets are collected at sites with different scanners, due to domain shift caused by differences in data distributions.
arxiv  

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