AI Medical Compendium

Increased risk of neurodevelopmental impairment associated with reduced brain volume at term-equivalent age in preterm infants with germinal matrix hemorrhage.

Neuroradiology Mar 3, 2026

Reply to Letter to the Editor: Deep learning for accurate tumour volume measurement and prediction of therapy response in paediatric osteosarcoma.

European radiology Mar 3, 2026

Letter to the Editor: Deep learning for accurate tumour volume measurement and prediction of therapy response in paediatric osteosarcoma.

European radiology Mar 3, 2026

Tumor metrics imaging core labs: primer for radiologists.

Abdominal radiology (New York) Mar 3, 2026

Imaging biomarkers have emerged as increasingly important endpoints in cancer clinical trials. Incorporating tumor metric reads as part of routine clinical reads by on-site radiologists for cancer clinical trials has several challenges which can be a... read more

Early recurrence prediction and risk stratification of hepatocellular carcinoma after transarterial chemoembolization achieving imaging complete response based on contrast-enhanced CT machine learning.

Abdominal radiology (New York) Mar 3, 2026

OBJECTIVES: To develop and validate machine learning (ML) models using clinical and contrast-enhanced CT (CECT) parameters to assess recurrence risk in hepatocellular carcinoma (HCC) after transarterial chemoembolization (TACE) achieving imaging comp... read more

TSNet: a multi-modal deep learning framework for subtyping appendicitis: integrating ultrasound images, handcrafted features, and clinical data.

Abdominal radiology (New York) Mar 3, 2026

Performance of next-generation AI chatbots in gynecological knowledge assessment: a comparative pilot study of ChatGPT-5, Gemini-3, DeepSeek-V3.2, and Claude-4.5-Opus.

Archives of gynecology and obstetrics Mar 3, 2026

PURPOSE: As artificial intelligence (AI) models evolve into their next generations, their application in specialized medical fields requires rigorous validation. While large language models (LLMs) have shown promise in general medicine, their reliabi... read more

Computer-aided drug design in acute myeloid leukemia: a comprehensive review of advances, challenges, and future prospect.

Journal of computer-aided molecular design Mar 3, 2026

Interpretable Feature Selection and Hybrid Deep Learning Models for Depressive Symptoms Prediction from Wearable Device Data.

Journal of medical systems Mar 3, 2026

Deep learning-driven automated detection of canine cardiac murmurs via digital wireless stethoscope auscultation.

Veterinary research communications Mar 3, 2026

Artificial Intelligence Medical Compendium

Increased risk of neurodevelopmental impairment associated with reduced brain volume at term-equivalent age in preterm infants with germinal matrix hemorrhage.

Reply to Letter to the Editor: Deep learning for accurate tumour volume measurement and prediction of therapy response in paediatric osteosarcoma.

Letter to the Editor: Deep learning for accurate tumour volume measurement and prediction of therapy response in paediatric osteosarcoma.

Tumor metrics imaging core labs: primer for radiologists.

Early recurrence prediction and risk stratification of hepatocellular carcinoma after transarterial chemoembolization achieving imaging complete response based on contrast-enhanced CT machine learning.

TSNet: a multi-modal deep learning framework for subtyping appendicitis: integrating ultrasound images, handcrafted features, and clinical data.

Performance of next-generation AI chatbots in gynecological knowledge assessment: a comparative pilot study of ChatGPT-5, Gemini-3, DeepSeek-V3.2, and Claude-4.5-Opus.

Computer-aided drug design in acute myeloid leukemia: a comprehensive review of advances, challenges, and future prospect.

Interpretable Feature Selection and Hybrid Deep Learning Models for Depressive Symptoms Prediction from Wearable Device Data.

Deep learning-driven automated detection of canine cardiac murmurs via digital wireless stethoscope auscultation.

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