Radiology

Radiology

Latest AI and machine learning research in radiology for healthcare professionals.

15,602 articles

Subcategories: Diagnostic Radiology Nuclear Medicine Therapeutic Radiology

Showing 316-336 of 15,602 articles

Long-term recovery and microbiota-gut-brain axis disruption after traumatic brain injury (OVERCOME-TBI): protocol for a prospective, observational clinical study.

INTRODUCTION: Traumatic brain injury (TBI) is a major cause of long-term disability worldwide, but t...

(3)

Sep 2026 42778239

Attention-Guided 3D Residual Learning for Pulmonary Embolism Segmentation on CT Pulmonary Angiography.

Pulmonary embolism is a potentially life-threatening condition that requires timely and accurate dia...

(2)

Sep 2026 42778753

SSCA-DIPNet: structured sparse and channel-attentive deep image prior network for highly-accelerated MRI.

magnetic resonance imaging (MRI) aids diagnosis yet suffers slow scanning. k-space undersampling cau...

(1)

Sep 2026 42743952

[Oncology Society of Chinese Medical Association guideline for clinical diagnosis and treatment of lung cancer (2026 edition)].

To further standardize the prevention and management of lung cancer in China, improve the level of d...

(3)

Sep 2026 42764215

Imaging subtypes reveal distinct biological substrates and disability profiles in multiple sclerosis.

Multiple sclerosis is characterized by marked biological heterogeneity that is only partly captured ...

(3)

Sep 2026 42773544

SegmentAnyMuscle: A universal muscle segmentation model across different locations in MRI.

Muscle mass and muscle quality, characterized by intramuscular adiposity and fiber composition, are ...

(1)

Sep 2026 42784894

Evaluation of the image quality index with MRI motion artifacts on tumor segmentation using deep learning.

Motion artifacts substantially degrade magnetic resonance imaging (MRI) quality and can reduce diagn...

(3)

Sep 2026 42771087

ProtoSurv: prototype-guided adaptation of computed tomography foundation model for lung-cancer prognosis prediction.

Prognosis prediction is important for precision treatment in lung cancer. Chest computed tomography ...

(1)

Sep 2026 42771098

A Meta-Analysis of Deep-Learning-Based Fusion of Positron Emission Tomography and Computed Tomography in Oncologic Imaging.

The objective of the study is to assess whether deep-learning fusion of positron emission tomography...

(1)

Sep 2026 42771114

RadCoT: a Radiological Chain-of-Thought framework for enhanced error detection in radiology reports.

BACKGROUND: Errors in radiology reports are a major patient-safety concern and are difficult to dete...

(2)

Sep 2026 42771118

From Anatomy to Radiology to Imaging Science: How Images Become Biomarkers and Therapeutic Evidence.

INTRODUCTION: Anatomy provides concepts by which form, spatial relationships, and function are broug...

(1)

Sep 2026 42772604

Distinct neural networks for experiential and descriptive representations of natural hazard risk.

Environmental risks are communicated through experiential formats, such as pictures, videos, and vir...

Sep 2026 42772707

[Oncology Society of Chinese Medical Association guideline for clinical diagnosis and treatment of lung cancer (2026 edition)].

To further standardize the prevention and management of lung cancer in China, improve the level of d...

(3)

Sep 2026 42763208

From Hawai'i to the world: innovation, ultrasound, and leadership in perinatal medicine.

The Global Summit on Perinatal Medicine and Women's Health: Innovation, Ultrasound, and Leadership, ...

Sep 2026 42766030

Three-Dimensional Point-Cloud Learning for Patient-Specific Deep Brain Stimulation Motor Response Prediction in Parkinson Disease.

Objective: To develop a patient-specific 3-dimensional (3D) point-cloud deep learning framework for ...

(2)

Sep 2026 42774635

Sonomyography-Based Decoding of Attempted Hand Movements in Individuals with Spinal Cord Injury.

OBJECTIVE: Restoring hand function is critical for individuals with spinal cord injury (SCI). This s...

(1)

Sep 2026 42771611

An intensity-based end-to-end tree alignment method for 3D/2D coronary artery registration.

Objective.Real-time x-ray fluoroscopy (XRF) is widely used for navigating coronary interventions. X-...

(8)

Sep 2026 42765352

Radial wall strain for residual risk stratification after percutaneous coronary intervention.

BACKGROUND: Percutaneous coronary intervention effectively treats flow-limiting stenoses; however, u...

(3)

Sep 2026 42765400

[A brief discussion on the progress and development directions of clinical research in vascular surgery].

Vascular surgery has experienced rapid development over the past three decades. With the application...

(1)

Sep 2026 42765407

[Value of a CT angiography-based deep learning model for differentiating SVS grade Ⅱ and grade Ⅲ blunt thoracic aortic injury: a retrospective multicenter staged study].

Objectives: To develop a segmentation-guided multitask deep learning model for Society for Vascular ...

(5)

Sep 2026 42765414

Machine learning-based assessments of perioperative features in determining long-term conduct block post-transcatheter closure of ventricular septal defect.

BACKGROUND: Currently, studies have shown that this procedure of transcatheter closure of ventricula...

(2)

Sep 2026 42765538

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Long-term recovery and microbiota-gut-brain axis disruption after traumatic brain injury (OVERCOME-TBI): protocol for a prospective, observational clinical study.

Attention-Guided 3D Residual Learning for Pulmonary Embolism Segmentation on CT Pulmonary Angiography.

SSCA-DIPNet: structured sparse and channel-attentive deep image prior network for highly-accelerated MRI.

[Oncology Society of Chinese Medical Association guideline for clinical diagnosis and treatment of lung cancer (2026 edition)].

Imaging subtypes reveal distinct biological substrates and disability profiles in multiple sclerosis.

SegmentAnyMuscle: A universal muscle segmentation model across different locations in MRI.

Evaluation of the image quality index with MRI motion artifacts on tumor segmentation using deep learning.

ProtoSurv: prototype-guided adaptation of computed tomography foundation model for lung-cancer prognosis prediction.

A Meta-Analysis of Deep-Learning-Based Fusion of Positron Emission Tomography and Computed Tomography in Oncologic Imaging.

RadCoT: a Radiological Chain-of-Thought framework for enhanced error detection in radiology reports.

From Anatomy to Radiology to Imaging Science: How Images Become Biomarkers and Therapeutic Evidence.

Distinct neural networks for experiential and descriptive representations of natural hazard risk.

[Oncology Society of Chinese Medical Association guideline for clinical diagnosis and treatment of lung cancer (2026 edition)].

From Hawai'i to the world: innovation, ultrasound, and leadership in perinatal medicine.

Three-Dimensional Point-Cloud Learning for Patient-Specific Deep Brain Stimulation Motor Response Prediction in Parkinson Disease.

Sonomyography-Based Decoding of Attempted Hand Movements in Individuals with Spinal Cord Injury.

An intensity-based end-to-end tree alignment method for 3D/2D coronary artery registration.

Radial wall strain for residual risk stratification after percutaneous coronary intervention.

[A brief discussion on the progress and development directions of clinical research in vascular surgery].

[Value of a CT angiography-based deep learning model for differentiating SVS grade Ⅱ and grade Ⅲ blunt thoracic aortic injury: a retrospective multicenter staged study].

Machine learning-based assessments of perioperative features in determining long-term conduct block post-transcatheter closure of ventricular septal defect.

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