Artificial Intelligence Medical Compendium

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

Showing 8,241 to 8,250 of 207,819 articles

New Frontiers of Drug Development Through the Use of New Approach Methodologies.

The AAPS journal
On November 2025, AAPS PharmSci 360 convened a symposium that included experts in the application of various types of New Approach Methodologies (NAMs). They shared their experiences and insights on topics that included microphysiological systems (MP... read more 

Exercise-related genes predicts overall survival and tumor immune microenvironment, and identifies the biological role of SLC52A2 in breast cancer.

Discover oncology
BACKGROUND: Breast cancer (BRCA) is the most common malignant tumor in women, with prognoses differing markedly by molecular subtype. Exercise is known to be related to tumor occurrence and progression, yet its role in BRCA remains understudied. This... read more 

Cyclosporine in hematological disorders: mechanisms, clinical practice and emerging advances.

Annals of hematology
Cyclosporine A (CsA) functions as a calcineurin inhibitor that perturbs T cell activation via calcineurin-nuclear factor of activated T cells (CaN-NFAT) signaling inhibitors, establishing its central role in hematological therapeutics. This review de... read more 

A multimodal interpretable deep learning-radiomics framework for predicting lymph node metastasis following neoadjuvant chemoradiotherapy in locally advanced rectal cancer: a multicenter validation study.

NPJ precision oncology
Accurate assessment of lymph node metastasis (LNM) following neoadjuvant chemoradiotherapy (nCRT) presents a significant clinical challenge and is essential for the management of locally advanced rectal cancer (LARC). In this multicenter study, we de... read more 

O²RDL-net for joint risk classification and delay forecasting in logistics systems using interaction amplified deep.

Scientific reports
Transportation and logistics systems face frequent delays and operational risks due to congestion, human factors, and rapidly changing conditions. Predicting delays and identifying risk levels in advance is therefore essential for reliable logistics ... read more 

Detecting dataset bias in medical AI using a generalized and modality agnostic auditing approach.

NPJ digital medicine
Despite many success stories along the path of Artificial Intelligence's (AI) rise in healthcare, there are comparably many reports of significant shortcomings and unexpected behavior of AI in deployment. A major risk is AI's reliance on association-... read more 

Stacked multi-fusion CNN: an adaptive attention model for privacy preserving deepfake forensics.

Scientific reports
The emergence of Generative Artificial Intelligence (Gen-AI) and Generative Adversarial Network (GAN)-based deepfakes poses significant security risks in sociocultural and sociopolitical domains. This necessitates the development of advanced and effe... read more 

A hybrid AI vision model for single-camera tracking of rehabilitation exercises: a proof of concept in clinical settings.

Scientific reports
Accurate measurement of range of motion (ROM) during physical rehabilitation is traditionally achieved using goniometers or multi-camera, marker-based motion capture systems. The latter, while highly accurate, require specialised laboratory infrastru... read more 

Autism spectrum disorder identification using machine learning models on MRI data.

Scientific reports
Autism Spectrum Disorder (ASD) is a neurodevelopmental condition that affects sensory processing, speech, behavior and identifying the condition at an early stage is necessary to provide the treatment. The existing diagnostic methods are mainly based... read more