Artificial Intelligence Medical Compendium

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

Showing 11,101 to 11,110 of 209,934 articles

Letter by Liu and Yao Regarding Article, "Phenotypic Selectivity of Artificial Intelligence-Enhanced Electrocardiography in Cardiovascular Diagnosis and Risk Prediction".

Circulation May 26, 2026
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A large-scale framework for estimating soil carbon, nitrogen, pH, and salinity dynamics for 1985-2023.

Proceedings of the National Academy of Sciences of the United States of America May 26, 2026
Soil is fundamental to sustaining life on Earth, providing ecosystem services, regulating climate, and playing a central role in global food systems. In the last decades, due to human activities and climate change, soils worldwide have experienced su... read more 

AI assists adversarial collaboration in debate on minority salience.

Proceedings of the National Academy of Sciences of the United States of America May 26, 2026
The advancement of science depends on rigorous tests of competing hypotheses, yet many disputes are left unresolved. Adversarial collaboration-where opposing scientists jointly design decisive tests-is one proposed solution. We examine whether large ... read more 

Navigating high-order protein fitness landscapes via deep learning on directed evolution trajectories.

Proceedings of the National Academy of Sciences of the United States of America May 26, 2026
Accurately predicting the fitness effects of high-order mutations is a grand challenge in understanding and engineering proteins. Existing models, including pretrained protein language models, struggle to capture the multiresidue interactions that go... read more 

Plug-and-play assembly of biodegradable ionizable lipids for potent mRNA delivery and gene editing in vivo.

Proceedings of the National Academy of Sciences of the United States of America May 26, 2026
mRNA-based gene editing therapeutics offer the potential to permanently cure diseases but are hindered by suboptimal delivery platforms. Here, we devise a robust combinatorial chemistry for the plug-and-play assembly of structurally diverse biodegrad... read more 

Leveling Up Upconverting Nanoparticles with Machine Learning.

Accounts of chemical research May 26, 2026
ConspectusUpconverting nanoparticles (UCNPs) transform low-energy light into higher-energy photons, enabling applications in subwavelength and subsurface imaging, nanoscale sensing, therapeutics, optogenetics, printing, and optical computing. However... read more 

Advancing the Discovery of Emerging Contaminants: A Leap in Technology and Data.

Environmental science & technology May 26, 2026
Emerging contaminants pose substantial threats to ecosystems and public health. While advances in analytical techniques and chemicals assessment have revealed the impacts of contaminants such as per- and polyfluoroalkyl substances, pharmaceutical res... read more 

Modeling the Language of Codons with Artificial Intelligence.

Annual review of biomedical data science May 26, 2026
The messenger RNA (mRNA) sequence plays a central role in expressing functional proteins from genes. Species-specific nonuniform codon choices influence key processes, including mRNA stability, translation accuracy and efficiency, and cotranslational... read more 

Assessment of pre-trained deep learning models in the detection of metal artifacts in axial cone beam tomography slices.

Dento maxillo facial radiology May 26, 2026
OBJECTIVES: This study aimed to evaluate the performance of three pre-trained deep learning models (ResNet50, MobileNetV2, and EfficientNetB0) in the detection of metal artefacts (MAs) in axial cone-beam computed tomography (CBCT) slices. METHODS: Tw... read more 

Evaluation of Commonly Utilized Artificial Intelligence Large Language Models in Optimizing Readability, Accuracy, and Comprehension of Orthopaedic Oncology Patient Educational Materials.

The Journal of the American Academy of Orthopaedic Surgeons May 26, 2026
INTRODUCTION: Online patient educational materials (PEMs) have poor readability, limiting their intended purposes in improving patient comprehension of health topics. Orthopaedic oncology PEMs are particularly complex. Although ChatGPT has demonstrat... read more 
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