Latest AI and machine learning research in head trauma for healthcare professionals.
BACKGROUND: Accurate prehospital trauma triage and communication determine morbidity, mortality, and...
Accurate segmentation of Crohn's disease (CD) lesions from computed tomography enterography (CTE) cr...
PURPOSE: Artificial intelligence (AI)-based text messaging, or "chat," in post-appendectomy care has...
Long-term outcomes of kidney allografts vary significantly among deceased donor kidney transplant re...
Introduced in 2014 and revised in 2018, the entropic brain hypothesis has accrued a wealth of suppor...
RATIONALE AND OBJECTIVES: Histotripsy is a noninvasive ultrasound therapy that mechanically disrupts...
OBJECTIVE: Acute kidney injury (AKI) is a severe complication following coronary artery bypass graft...
BACKGROUND AIMS: Computed tomography enterography (CTE) is a non-invasive cross-sectional imaging mo...
BACKGROUND: Interprofessional education (IPE) is vital for preparing pharmacy students for collabora...
INTRODUCTION: Chronic subdural hematoma (cSDH) predominantly affects older adults, often those with ...
Projectional radiography is vulnerable to artefacts that can impair image quality and obscure or mim...
Acute lung injury (ALI) is a significant post-operative complication of liver transplant (LT), with ...
PURPOSE: AI governance commonly emphasises procurement, validation, deployment and performance monit...
OBJECTIVE: Fetal head circumference (HC) measurement is a routine and indispensable examination duri...
The aim of this study is to develop and validate a machine learning-based predictive model to assess...
Cardiovascular magnetic resonance (CMR) has emerged as the reference noninvasive modality for a comp...
BACKGROUND AND AIMS: Endoscopists' colonoscopy adenoma detection rates (ADR) are inversely associate...
BACKGROUND: Acute respiratory distress syndrome (ARDS) is a severe complication after traumatic brai...
BACKGROUND: Dementia caregiving entails chronic, fluctuating stress with downstream risks to caregiv...
CONTEXT: This paper examines how artificial intelligence (AI) is reshaping diagnostic decision-makin...
Predicting the outcome of comatose patients in the intensive care unit (ICU) can inform decision mak...