Neuromodulation after sleep deprivation alters olfactory brain activity in male participants
Sleep Deprivation Dulls Your Sense of Smell, But New Brain Stimulation Shows Promise
This randomized controlled trial in 90 male participants examined brain activity after 36 hours of sleep deprivation and a restorative sleep…
After 36 hours without sleep, your sense of smell can falter, but targeted brain stimulation may help restore key brain networks.
TIRADS and Bethesda systems predict thyroid malignancy in 70 patients at Baghdad Teaching Hospital
Family history and neck swelling signal higher risk of thyroid cancer
This prospective cross-sectional study evaluated 70 patients with thyroid complaints at Baghdad Teaching Hospital.
A new look at thyroid nodules shows that family history and neck swelling are key signs of cancer, helping doctors catch it sooner.
Pre-procedural testing reduced intraoperative strategy changes in complex unruptured intracranial aneurysm endovascular treatment
Doctors Test Brain Aneurysm Surgery on a 3D Model First
This cohort study evaluated patients who underwent pre-procedural testing (PPT) using patient-specific models versus a control group treated…
Practicing on a patient’s 3D brain model before surgery cuts surprises, shortens procedure time, and reduces wasted medical supplies.
Open-sourcing data and annotations for renal cell carcinoma yielded 142 annotated CT scans from 101 patients
Open-source CT scans aim to boost kidney cancer AI research
This cohort study involved 101 patients with renal cell carcinoma (RCC) and analyzed 142 annotated CT scans.
Researchers release 142 annotated CT scans from 101 kidney cancer patients to accelerate AI development.
Review of MRI radiomic features aids Alzheimer's disease classification and progression modeling in 382 participants
MRI Scan Finds Alzheimer's Signs Before Memory Loss Starts
This observational review synthesizes findings from 382 participants across three cognitive stages regarding MRI-derived radiomic features.
New imaging tools might catch Alzheimer's changes years before memory fades.
Preclinical deep learning framework shows improved dose prediction for unseen cancer sites
A Heavy Burden on Doctors
This is a preclinical development study of a deep learning framework for radiotherapy dose prediction.
A new AI tool can plan radiation doses for many different cancers at once.
TACE plus donafenib and camrelizumab shows improved outcomes in unresectable hepatocellular carcinoma
Liver Cancer Patients May Live Twice as Long With New Combo
This single-center retrospective cohort study compared TACE plus donafenib and camrelizumab to TACE plus donafenib alone in 116 patients wit…
A new combination therapy could nearly double survival time for advanced liver cancer patients.
MELD Graph and 3D-nnUNet Deep Learning Approaches Detect Focal Cortical Dysplasia in Pediatric Drug-Resistant Epilepsy
AI Spots Hidden Brain Lesions in Kids with Epilepsy
This retrospective single-center study evaluated MELD Graph and 3D-nnUNet deep-learning approaches against expert neuroradiological evaluati…
A 6-year-old has seizures. Doctors try two, then three medications.
3D-DXA imaging shows strong correlation with QCT for assessing femoral bone density in international cohorts
3D-DXA scans match the accuracy of more complex bone density tests
This cohort study of 537 subjects from Spain, the United States, and Japan compared 3D-DXA imaging to quantitative computed tomography (QCT)…
New data shows 3D-DXA scans match the accuracy of complex CT scans for measuring bone strength, offering a safer, easier way to check bone h…
Systematic evaluation of harmonisation methods reduces variability in multisite MRI volumetric imaging-derived phenotypes
New Scan Fix Helps Compare Brain Changes Across Clinics
This systematic evaluation reviews image-based and statistical harmonisation methods applied to a clinically realistic, multisite, multiscan…
Scientists found a better way to fix differences in brain scans so doctors can track changes accurately.
Deep learning model segments nasal cavity from CT scans with high accuracy in preclinical evaluation
New AI Maps Nasal Passages for Smarter Surgery
This preclinical study evaluates a deep learning model for segmenting nasal cavity structures from CT scans.
A new computer program helps doctors see inside the nose more clearly before surgery.
Secondary Analysis Review Quantifying Fiber Disconnections Predicts Outcomes in Basilar Artery Occlusion
New Scan Predicts Stroke Recovery Better Than Standard Tests
This secondary analysis review evaluates disconnected fiber volume versus conventional metrics in 201 patients with acute basilar artery occ…
A new imaging technique measures broken brain connections to predict stroke outcomes more accurately than traditional methods.