Latest AI and machine learning research in head trauma for healthcare professionals.
PURPOSE: Assess impact of artificial intelligence (AI) on radiologists' detection of cancer on digit...
PURPOSE: To clarify overlapping post-market obligations under the EU Artificial Intelligence Act (AI...
OBJECTIVE: Pathological High-Frequency Oscillations (HFOs) identify epileptogenic cortex, but their ...
Current methods for radiological classification in traumatic brain injury (TBI), such as the Marshal...
Our study investigates the effects of long-duration spaceflight on brain aging in spacefarers using ...
Autopsy-derived brain tissue analysis is crucial for understanding neurobiology, but post-mortem han...
BACKGROUND Acute lung injury (ALI) after liver transplantation (LT) is a critical complication negat...
Tranexamic acid (TXA) reduces mortality in patients with trauma; however, optimal patient selection ...
OBJECTIVE: Sepsis-associated liver injury (SALI) occurs in approximately 40% of sepsis cases and is ...
OBJECTIVE: To produce objective predictions of neurodevelopmental outcomes after perinatal hypoxic-i...
BACKGROUND: This study aimed to assess the value of blood plasma autofluorescence spectroscopy in cl...
BACKGROUND: Mechanical thrombectomy (MT) improves outcomes in acute ischemic stroke (AIS) but often ...
BACKGROUND: Artificial Intelligence (AI) is increasingly being introduced into clinical education, i...
BACKGROUND: Hematoma expansion or rebleeding after decompressive craniectomy (DC) is a critical dete...
PURPOSE: Cancer survivors often experience long-term consequences affecting their Health-Related Qua...
The men and women who worked in rescue and recovery operations at the 9/11 World Trade Center site a...
Transcranial Magnetic Stimulation with simultaneous Electroencephalogram (TMS-EEG) allows for the as...
Background: Mammographic artificial intelligence (AI) systems have been explored for future breast c...
BACKGROUND: Self-reported, computerized history taking (CHT) may enable efficient collection of medi...
An accurate prediction of the time since death, known as the post-mortem interval, remains a critica...
OBJECTIVES: This study proposes a deep learning framework and an annotation methodology for the auto...