AI in medical imaging

BrainDx AI Framework for Brain Tumor Diagnosis

Revolutionizing Brain Tumor Diagnosis: How the BrainDx AI Framework is Setting a New Standard in Medical Imaging

In the high-stakes world of neuro-oncology, time is not just a factor—it’s a lifeline. The journey from an initial MRI scan to a definitive brain tumor diagnosis has long been fraught with delays, human error, and the immense cognitive load…

Revolutionizing Brain Tumor Diagnosis: How the BrainDx AI Framework is Setting a New Standard in Medical Imaging Read More »

HiPerformer: A New Benchmark in Medical Image Segmentation with Modular Hierarchical Fusion

HiPerformer: A New Benchmark in Medical Image Segmentation with Modular Hierarchical Fusion

In the high-stakes world of medical diagnostics, a pixel can make all the difference. Precise image segmentation—the process of outlining and identifying specific organs, tissues, or lesions in a medical scan—is the cornerstone of modern diagnosis and treatment planning. It…

HiPerformer: A New Benchmark in Medical Image Segmentation with Modular Hierarchical Fusion Read More »

Proposed DSCA NET for image Segmentation

DSANET Uses Full DSA Sequences to Segment Cerebral Arteries

Cerebrovascular diseases, stroke, moyamoya disease, and cerebral aneurysms among them, remain a major cause of death and disability, and diagnosing them accurately depends on understanding the geometry of the cerebral arteries. Digital subtraction angiography, often shortened to DSA, is the…

DSANET Uses Full DSA Sequences to Segment Cerebral Arteries Read More »

VibNet system detecting a nearly invisible needle in ultrasound using vibration-based deep learning. A red line highlights the predicted needle shaft and tip overlay on a grayscale ultrasound image

7 Revolutionary VibNet Breakthrough Detects Invisible Needles in Ultrasound – But Is It Too Good to Be True?

In the high-stakes world of ultrasound-guided medical procedures, one challenge has haunted clinicians for decades: the needle that disappears. Whether due to poor visibility, tissue artifacts, or suboptimal probe angles, losing sight of a needle tip can lead to serious…

7 Revolutionary VibNet Breakthrough Detects Invisible Needles in Ultrasound – But Is It Too Good to Be True? Read More »

knowledge distillation model for medical diagnosis

Incremental Learning for Medical AI — How Knowledge Distillation Stops Prostate MRI Models from Forgetting

Anyone who has worked on deep learning in healthcare quickly discovers that the academic benchmark setting — one big dataset, one train-test split, one model — rarely survives contact with the real world. Hospital systems accumulate data incrementally. Different sites…

Incremental Learning for Medical AI — How Knowledge Distillation Stops Prostate MRI Models from Forgetting Read More »

Weakly Supervised AI for Normal Pressure Hydrocephalus (NPH) Screening on CT Scans

Weakly Supervised AI for Normal Pressure Hydrocephalus (NPH) Screening on CT Scans

Normal pressure hydrocephalus, usually shortened to NPH, shows up mostly in older adults as a triad of gait impairment, urinary incontinence, and cognitive decline, caused by cerebrospinal fluid building up in the brain’s ventricular system. What makes it clinically important,…

Weakly Supervised AI for Normal Pressure Hydrocephalus (NPH) Screening on CT Scans Read More »