Artificial Intelligence Medical Compendium

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

Showing 241 to 250 of 234,208 articles

Tryptoline stereoprobe elaboration identifies inhibitors of the GRPEL1-HSPA9 complex.

Nature chemical biology
Activity-based protein profiling has identified hundreds of human proteins from diverse classes that react at cysteine residues with stereochemically defined electrophilic compounds (stereoprobes). The structure-activity relationships underlying thes... read more 

From HPV infection to cervical precancer: Molecular mechanisms, immune microenvironment and emerging technologies.

Cellular and molecular life sciences : CMLS
Cervical cancer remains a leading cause of cancer-related mortality among women globally, with persistent high-risk human papillomavirus (HPV) infection as the primary etiological factor. Cervical precancerous lesions, including high-grade squamous i... read more 

Building and Validating a Data-Governance Workflow for Artificial Intelligence-Based Tuberculosis Detection from Chest Radiographs, and Quantifying the Impact of Data Leakage.

Journal of imaging informatics in medicine
Studies applying artificial intelligence (AI) to tuberculosis (TB) detection from chest radiographs (CXR) focus on models and metrics, yet the quality, provenance and reproducibility of the data workflow decide the reliability of results; duplicate i... read more 

Evaluating Explicit Anatomical Priors Beyond a Mature CT Detector for Six Acute Abdominal Emergencies.

Journal of imaging informatics in medicine
To test whether anatomical priors from a general-purpose organ segmentation model (TotalSegmentator, TS), applied at inference or during training, improve an externally validated YOLOv11 detector for six acute abdominal emergencies. The frozen detect... read more 

Investigation on Automatic Classification of Bone, Lymph Node, and Local Lesions in CT Images of Prostate Cancer Patients.

Journal of imaging informatics in medicine
Accurate assessment of different types of prostate cancer (PCa) lesions is a crucial part of treatment planning. Following a computed tomography (CT) or a positron emission tomography (PET)/CT imaging scan, a significant amount of time is required fr... read more 

A Survey of Computational Color Constancy: Approaches and Emerging Applications in Medical Imaging.

Journal of imaging informatics in medicine
As the evening sets in and natural light fades to artificial light, it is remarkable how the colors around us still appear nearly the same. This phenomenon, known as color constancy, allows us to perceive relatively stable colors even as lighting con... read more 

A Deep Learning Framework for Accurate lncRNA-Protein Interaction Prediction via Multi-Kernel Graph Embeddings and Self-Attention.

Interdisciplinary sciences, computational life sciences
Long non-coding RNAs (lncRNAs) play a pivotal role in regulating biological processes, primarily through lncRNA-Protein Interactions (LPI), which are crucial for understanding disease mechanisms and cellular functions. While computational methods exi... read more 

Evolution of guideline-based male infertility responses by large language models between 2025 and 2026: a comparative analysis of ChatGPT, Perplexity, and DeepSeek.

Basic and clinical andrology
RéSUMé: CONTEXTE: Les grands modèles de langage (LLM) sont de plus en plus utilisés par les patients et les cliniciens pour obtenir des informations médicales, mais leurs performances peuvent évoluer au fil du temps à mesure que les modèles sont mis ... read more 

The advances and challenges of mRNA-LNP application in fields of hematology and oncology therapeutics.

Journal of hematology & oncology
The rapidly global deployment of COVID-19 mRNA-LNP vaccines established the clinical feasibility of combining RNA medicine with LNP delivery systems, transforming a long-standing experimental concept into a scalable therapeutic modality, previously c... read more 

The reference shapes the signal: chrX genotype summaries and classifier sex disparity between GRCh38 and T2T-CHM13 callsets.

Genomics & informatics
Laboratories that move from GRCh38 to T2T-CHM13 take on a new callset as well as a new assembly. I asked whether the move changes sex-chromosome genotype summaries, and whether it changes how well classifiers trained on those summaries serve males an... read more