Latest AI and machine learning research in head trauma for healthcare professionals.
Recovery from aphasia after stroke is thought to depend on functional reorganization of language pro...
Cardiac allograft rejection (CAR) remains the leading cause of early graft failure after heart trans...
Hospital readmissions represent a persistent challenge for healthcare systems, often stemming from i...
Irritable bowel syndrome (IBS) is a prevalent disorder whose most debilitating symptom is pain. The ...
Falls among elderly residents in assisted living facilities (ALFs) are prevalent, costly, and freque...
Accurate cerebrospinal fluid (CSF) and brain volume estimation are important components for evaluati...
Accurate clinical and pathological diagnoses are essential in neurodegenerative diseases, especially...
Mild traumatic brain injury (mTBI) is a heterogeneous condition with long-term sequelae, yet diagnos...
Clinical machine learning (CML)for brain MRI often assumes that more data guarantees better performa...
Structural changes following pediatric intracerebral hemorrhage (ICH) caused by ruptured brain vascu...
BACKGROUND: Traumatic brain injury (TBI) is associated with increased dementia risk. This may be dri...
Venezuelan, eastern, and western equine encephalitis viruses (collectively referred to as equine enc...
BACKGROUND: While liver transplantation saves lives from irreversible liver damage, it poses challen...
CONTEXT AND BACKGROUND: Depression has affected millions of people worldwide and has become one of t...
Post-traumatic stress disorder (PTSD) presents with complex and diverse clinical manifestations, mak...
Post-disaster assessments of buildings and infrastructure are crucial for both immediate recovery ...
Due to its efficiency, Post-Training Quantization (PTQ) has been widely adopted for compressing Vi...
Social media users articulate their opinions on a broad spectrum of subjects and share their exper...
Artificial Intelligence (AI) is a broad field that is upturning mental health care in many ways, f...
Deep hash-based retrieval techniques are widely used in facial retrieval systems to improve the ef...
Accurate segmentation of brain tumors from 3D multimodal MRI is vital for diagnosis and treatment ...