Latest AI and machine learning research in head trauma for healthcare professionals.
The distribution of produced isotopes during proton therapy can be imaged with Positron Emission Tom...
BACKGROUND: Post-COVID Fatigue (PCF) is one of the most common issues people face after recovering f...
BACKGROUND: Surgical decisions for severe traumatic brain injury (TBI) are often made under prognost...
Malignant stroke is a life-threatening condition, with mortality rates reaching up to 80% among pati...
Post-translational modification (PTM) plays a crucial role in head and neck squamous cell carcinoma ...
BACKGROUND: Deep learning enables the extraction of ischemic lesion size and hypodensity imaging mar...
PURPOSE: Childhood trauma can disrupt communication, yet early signs often go unrecognized in region...
Patients undergoing cardiothoracic and vascular surgery are at uniquely high risk for postoperative ...
OBJECTIVE: We used machine learning (ML) to develop firearm risk prediction models for injured child...
Drug-induced liver injury (DILI) remains one of the leading causes of drug development failure and p...
BACKGROUND: Post-contrast liver MRI often requires long breath-holds, risking motion artifacts that ...
BACKGROUND: Peripheral nerve injury with deficits has poor functional prognosis, making motor functi...
BACKGROUND: The adult mammalian cerebral cortex has a vertical laminar organization consisting of si...
Rapid post-event assessment of earthquake damage is essential for resilient emergency response and r...
Traumatic brain injury (TBI) remains a formidable clinical, neuropathological, and forensic challeng...
Neoadjuvant therapy (NAT) has demonstrated considerable effectiveness in treating locally advanced n...
Despite extensive research, traumatic brain injury (TBI) imposes significant mortality and morbidity...
BACKGROUND: Post-implantation syndrome (PIS) is recognized as a systemic inflammatory response follo...
BACKGROUND: Accurate prediction of facial aesthetics after orthodontic treatment is crucial for clin...
BACKGROUND: Predicting the final infarct after an extended time window mechanical thrombectomy (MT) ...
This study explores the use of GPT-5 and traditional machine learning by scholars such as Tu et al. ...