Neurology

Machine learning-based prediction of unplanned readmission and construction of an online calculator for elderly patients with mild ischemic stroke.

OBJECTIVE: To screen for independent risk factors for unplanned readmission in elderly patients with mild ischemic stroke, and to construct and validate an online risk prediction calculator based on an interpretable machine learning model, thereby providing a promising practical tool for accurate clinical assessment of 30‑day all‑cause unplanned readmission risk in this population. METHODS: A pros...

Deep Learning-Driven Computational Imaging for Noninvasive Monitoring System of Brain Temperature and Metabolism: A Hypothermia Validation for Acute Ischemic Stroke.

Brain temperature (BT) is a critical physiological indicator closely associated with neurological function and disease progression. However, real-time, noninvasive monitoring of BT remains a challenge due to the limitations of current technologies. Here, we present a novel multimodal framework combining bioheat transfer modeling, deep learning, and computational thermography for accurate BT predic...

Automated sleep scoring in hibernating and non-hibernating American black bears.

Hibernating bears show remarkable metabolic suppression. Their decline in core body temperature (Tb) is moderate (from 38°C to 30-35°C), but their met...

Machine learning-based prediction of postoperative nausea and vomiting after spinal anesthesia: A retrospective observational study.

Postoperative nausea and vomiting (PONV) is a frequent and serious complication after surgery. PONV also reduces patient satisfaction with surgery und...

Uncertainty-aware personalized estimation of Parkinson's disease severity from longitudinal speech.

Parkinson's disease (PD) is a progressive neurological disorder characterized by motor impairments whose severity is commonly assessed using the Unifi...

Timely Surgical Approaches for Pediatric Epilepsy Resistant to Medication.

Meckel's Pediatric drug-resistant epilepsy (DRE) is a significant neurological disorder that develops when seizures persist despite treatment with two...

A Generalized Approach to Solving Deep Learning-Based Quantitative Susceptibility Mapping and Quantitative Blood Oxygen Level Dependent Magnitude (QSM + qBOLD or QQ) for Oxygen Extraction Fraction (OEF) Mapping Across Diverse Acquisition Schemes.

PURPOSE: QQ, a recently proposed oxygen extraction fraction (OEF) mapping technique combining quantitative susceptibility mapping (QSM) and quantitati...

Wood-Inspired Bioadaptable Material with Neurite Outgrowth Guidance Structures, Superior Cell Microenvironment, and Long-Term Structural Stability.

Nerve injuries present serious clinical challenges worldwide. Autologous nerve transplantation is recognized as the gold standard to treat long-gap pe...

Selective Neurectomy and Masseteric-to-Zygomatic Nerve Transfer With Processed Nerve Allograft for Postparalytic Ocular Sequelae: Preliminary Results.

Oro-ocular synkinesis is a debilitating sequela of facial nerve injury. While selective neurectomy (SN) offers a surgical alternative to botulinum tox...

Toward the prevention of clinically manifest Parkinson's disease.

Parkinson's disease (PD) is the fastest growing neurological disorder worldwide and is projected to affect unprecedented numbers of individuals by 205...

Long-term prediction of epilepsy following traumatic brain injury among veterans using routine clinical data.

OBJECTIVE: Despite elevated risk for epilepsy following traumatic brain injury (TBI), there are limited tools to assess epilepsy risk following TBI us...

Plasma proteomics linking primary and secondary diseases: Insights into molecular mediation from UK Biobank data.

BACKGROUND: Diabetes, hypertension, and dyslipidemia are major risk factors for cardiovascular, neurological, renal, and pulmonary diseases, yet clini...

Music emotion recognition with cEEGrid.

OBJECTIVE: Emotion decoding is a growing field of electroencephalography (EEG) research with numerous applications in areas such as healthcare, partic...

Nonlinear neurodynamics of N2 sleep EEG predict outcomes of anterior nucleus of the thalamus deep brain stimulation in epilepsy: A pilot study.

OBJECTIVE: Anterior nucleus of the thalamus deep brain stimulation (ANT-DBS) is an effective therapeutic option for drug-resistant epilepsy (DRE); how...

Multi-class severity classification of peripheral nerve impairment using multimodal electrodiagnostic features and explainable machine learning.

OBJECTIVES: Peripheral nerve injuries impose substantial functional morbidity and long-term neurological impairment, yet electrodiagnostic severity as...

Synergistic EEG signal processing for brain-computer interfaces using hybrid MothCray optimization and deep learning.

Electroencephalography (EEG) based brain-computer interface (BCI) systems require optimal channel selection to achieve high signal quality, reduced se...

AfriTickID: An AI-Assisted Image-Based Approach for Tick Species Identification in Kenya.

Tick-borne diseases such as Lyme disease, tick-borne encephalitis and Crimean-Congo haemorrhagic fever in humans, and East Coast Fever and anaplasmosi...

Super-Resolution of Through-Plane Undersampled MRIs in Alzheimer's Disease Diagnosis.

Alzheimer's disease is a complex neurodegenerative disorder and the leading cause of dementia worldwide. Learning-based techniques applied to magnetic...

Predicting Outcomes of Traumatic Brain Injury Using Machine Learning Models Among Patients at Kilimanjaro Christian Medical Centre, Tanzania: A Registry-Based Cohort Study.

BACKGROUND: Traumatic brain injury (TBI) remains a major global health burden, disproportionately affecting low- and middle-income countries (LMICs) w...

Deep learning maps local brain aging in relation to cognition across human adulthood.

Brain aging, the strongest risk factor for Alzheimer's disease (AD), varies across cortical regions. Global brain age (GBA), an imaging-derived measur...