Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 46,751 to 46,760 of 224,199 articles

Attenuation correction of cardiac 82Rb pet using deep learning generated synthetic CT.

EJNMMI physics
Ischemic heart disease remains a leading cause of mortality worldwide. Myocardial perfusion imaging (MPI) using Rubidium-82 (82Rb) positron emission tomography (PET) is a cornerstone in its evaluation. However, conventional CT-based attenuation corre... read more 

Research progress of machine learning applications in gastric cancer diagnosis and therapy.

Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico
Gastric cancer (GC), a malignant neoplasm originating from the gastric mucosal epithelium, represents one of the most prevalent cancers worldwide. Early detection is critical for improving treatment outcomes and patient prognosis. Recent advances in ... read more 

Ensemble model assisted classification of gastrointestinal bleeding using wireless capsule endoscopy.

Physical and engineering sciences in medicine
Wireless Capsule Endoscopy (WCE) is a useful method for imaging the intestines painlessly and looking into gastrointestinal tract diseases. The investigation of the enormous dataset produced by the patient's digestive tract WCE imaging takes a lot of... read more 

Evaluating the performance of ChatGPT-5, Claude, and DeepSeek for statistical analysis in medicine.

Internal and emergency medicine
BACKGROUND: Large language models (LLMs) are increasingly used in biomedical research for statistical support, yet their reliability in selecting appropriate tests and generating correct software commands remains insufficiently evaluated. This study ... read more 

Identification of Gene Signatures Differentiating Cancer from Normal Tissues Across Histological Classifications of Gastric Adenocarcinoma via Machine Learning Methods.

Biochemical genetics
Gastric adenocarcinoma is a significant global health concern. Among the myriad histologic classification methods for this cancer, the Lauren classification stands out as a pivotal tool. Nonetheless, the precision and detail of current histological s... read more 

Domain-Shift AI Technology for Vendor-Agnostic Multiple Macular Disease Detection From 3D OCT Scans.

JAMA ophthalmology
IMPORTANCE: A deep learning (DL) model capable of analyzing optical coherence tomography (OCT) 3-dimensional (3D) scans from various vendors is essential for robust disease detection. OBJECTIVE: To develop a vendor-agnostic model for multidisease cla... read more 

Deep learning-assisted tumor radiomic dynamics on MRI predict pathological complete response in HCC undergoing immune-based therapy followed by hepatectomy.

Hepatology (Baltimore, Md.)
BACKGROUND AIMS: Pathological complete response (pCR) following conversion therapy for initially unresectable hepatocellular carcinoma (uHCC) remains challenging to predict preoperatively. This study developed and validated a model integrating clinic... read more