A5026284593- Multiple Sclerosis Research Studies
- Radiomics and Machine Learning in Medical Imaging
- Glioma Diagnosis and Treatment
- Artificial Intelligence in Healthcare and Education
- COVID-19 diagnosis using AI
- Brain Tumor Detection and Classification
- Autism Spectrum Disorder Research
- Stress Responses and Cortisol
- Tryptophan and brain disorders
- Prostate Cancer Treatment and Research
- Genetics, Bioinformatics, and Biomedical Research
- Psychosomatic Disorders and Their Treatments
- Intracerebral and Subarachnoid Hemorrhage Research
- Psychometric Methodologies and Testing
- Cell Image Analysis Techniques
- Advanced X-ray and CT Imaging
- Neurology and Historical Studies
- Biomedical and Engineering Education
- Radiation Dose and Imaging
- Neurosurgical Procedures and Complications
- Radiology practices and education
- Artificial Intelligence in Healthcare
- Endometrial and Cervical Cancer Treatments
- Head and Neck Surgical Oncology
- Advances in Oncology and Radiotherapy
Mayo Clinic
2023-2025
Mayo Clinic in Arizona
2024-2025
The University of Texas at Austin
2025
WinnMed
2024-2025
Tehran University of Medical Sciences
2021-2024
“Just Accepted” papers have undergone full peer review and been accepted for publication in Radiology: Artificial Intelligence. This article will undergo copyediting, layout, proof before it is published its final version. Please note that during production of the copyedited article, errors may be discovered which could affect content. The integration large language models (LLMs) into health care offers tremendous opportunities to improve medical practice patient care. Besides being...
<h3>BACKGROUND AND PURPOSE:</h3> Spontaneous intracranial hypotension is an increasingly recognized condition. caused by a CSF leak, which commonly related to CSF-venous fistula. In patients with spontaneous hypotension, multiple abnormalities can be observed on brain MR imaging, including dural enhancement, "brain sag," and pituitary engorgement. This study seeks create deep learning model for the accurate diagnosis of fistulas via imaging. <h3>MATERIALS METHODS:</h3> A review clinically...
Thyroid Ultrasound (US) is the primary method to evaluate thyroid nodules. Deep learning (DL) has been playing a significant role in evaluating cancer. We propose DL-based pipeline detect and classify nodules into benign or malignant groups relying on two views of US imaging. Transverse longitudinal images from 983 patients were collected retrospectively. Eighty-one cases held out as testing set, rest data used five-fold cross-validation (CV). Two You Look Only Once (YOLO) v5 models trained...
<h3>ABSTRACT</h3> <h3>BACKGROUND AND PURPOSE:</h3> Diagnosis of tumefactive demyelination can be challenging. The diagnosis indeterminate brain lesions on MRI often requires tissue confirmation via biopsy. Noninvasive methods for accurate tumor and non-tumor etiologies allows tailored therapy, optimal control, a reduced risk iatrogenic morbidity mortality. Tumefactive has imaging features that mimic <i>isocitrate dehydrogenase</i>-wildtype glioblastoma (<i>IDH</i>wt GBM). We hypothesized...
Dual-energy CT (DECT) is a non-invasive way to determine the presence of monosodium urate (MSU) crystals in workup gout. Color-coding distinguishes MSU from calcium following material decomposition and post-processing. Most software labels as green blue. There are limitations current image processing methods segmenting green-encoded pixels. Additionally, identifying foci tedious, automated detection would improve workflow. This study aimed optimal deep learning (DL) algorithm for pixels on...
Glioblastoma is the most common primary adult brain tumor, with a grim prognosis - median survival of 12-18 months following treatment, and 4 otherwise. widely infiltrative in cerebral hemispheres well-defined by heterogeneous molecular micro-environmental histopathologic profiles, which pose major obstacle treatment. Correctly diagnosing these tumors assessing their heterogeneity crucial for choosing precise treatment potentially enhancing patient rates. In gold-standard...
Abstract Glioblastoma, the most common malignant primary adult brain tumor, poses significant diagnostic and treatment challenges due to its heterogeneous molecular micro-environmental profiles. To this end, we organize BraTS-Path challenge provide a public benchmarking environment comprehensive dataset develop validate AI models for identifying distinct histopathologic glioblastoma sub-regions in H&E-stained digitized tissue sections. We identified 188 multi-institutional slides of...
Abstract Background Autism spectrum disorder (ASD) represents a panel of conditions that begin during the developmental period and result in impairments personal, social, academic, or occupational functioning. Early diagnosis is directly related to better prognosis. Unfortunately, ASD requires long exhausting subjective process. Objective To review state art for automated autism diagnosis. Methods In February 2022, we searched multiple databases several sources grey literature eligible...