AI Medical Compendium

Rule-Based Synthesis of Microscopy Images by Diffusion Refinement.

Journal of imaging informatics in medicine Apr 27, 2026

Deep learning methods in medical imaging often suffer from the limited availability of high-quality annotated data, especially for rare conditions. This data scarcity is largely due to the need for domain expertise and the time-consuming process of d... read more

BF2GAN: A Fused Federated Learning-Based Biometric Enabled Deep Learning Approach for Secure Medical Image Sharing in Cloud Environment.

Journal of imaging informatics in medicine Apr 27, 2026

Medical images contain sensitive and private health information of patients, which is crucial to be safeguarded from unauthorized access. Various encryption schemes are used for improving security; however, they are subject to adversaries associated ... read more

Interpretable Deep Learning with Multi-Scale CT for Predicting Occult Lymph Node Metastasis in Early-Stage NSCLC: A Multicenter Study.

Journal of imaging informatics in medicine Apr 27, 2026

Accurate preoperative prediction of occult lymph node metastasis (OLNM) in early-stage non-small cell lung cancer (NSCLC) is crucial for treatment planning. This study aimed to develop and validate a CT-based three-dimensional (3D) deep learning mode... read more

Artificial Intelligence in Dental and Orthopedic Skeletal Imaging: A Scoping Review of Methodological Convergence and Translational Gaps.

Journal of imaging informatics in medicine Apr 27, 2026

This scoping review aimed to answer the question: to what extent do artificial intelligence applications in dental and orthopedic skeletal imaging demonstrate true cross-disciplinary methodological convergence versus parallel development with shared ... read more

AI-accelerated meta-analysis in psychology: Large language models code study properties with high accuracy.

Behavior research methods Apr 27, 2026

Theoretically driven meta-analyses often involve testing whether study characteristics moderate an effect in a pattern that supports one of multiple competing theoretical accounts. To conduct such analyses, researchers must manually extract, i.e., co... read more

Adding Artificial Intelligence to the Surgeon's Domain.

World journal of surgery Apr 27, 2026

Bi-linguistic performance of large language models in multimodal analysis for differentiating jawbone-destroying malignancy from osteomyelitis.

BMC oral health Apr 27, 2026

ITCNET: a visual and language pretraining model based on multimodal fusion in predicting the breast cancer subtypes on DCE-MRI.

BMC medical informatics and decision making Apr 27, 2026

Integration of blood protein-metabolic profiles via machine learning to enable the accurate early detection of non-small cell lung cancer.

Respiratory research Apr 27, 2026

Using explainable AI to identify disease-relevant and deep brain stimulation treatment-sensitive gait features in Parkinson's disease.

Journal of neuroengineering and rehabilitation Apr 27, 2026

Artificial Intelligence Medical Compendium

Rule-Based Synthesis of Microscopy Images by Diffusion Refinement.

BF2GAN: A Fused Federated Learning-Based Biometric Enabled Deep Learning Approach for Secure Medical Image Sharing in Cloud Environment.

Interpretable Deep Learning with Multi-Scale CT for Predicting Occult Lymph Node Metastasis in Early-Stage NSCLC: A Multicenter Study.

Artificial Intelligence in Dental and Orthopedic Skeletal Imaging: A Scoping Review of Methodological Convergence and Translational Gaps.

AI-accelerated meta-analysis in psychology: Large language models code study properties with high accuracy.

Adding Artificial Intelligence to the Surgeon's Domain.

Bi-linguistic performance of large language models in multimodal analysis for differentiating jawbone-destroying malignancy from osteomyelitis.

ITCNET: a visual and language pretraining model based on multimodal fusion in predicting the breast cancer subtypes on DCE-MRI.

Integration of blood protein-metabolic profiles via machine learning to enable the accurate early detection of non-small cell lung cancer.

Using explainable AI to identify disease-relevant and deep brain stimulation treatment-sensitive gait features in Parkinson's disease.

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