Artificial Intelligence Medical Compendium

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

Showing 41,351 to 41,360 of 223,853 articles

Predicting 3D Post-Orthodontic Facial Outcomes With a Diffusion Model Trained on Unpaired Datasets.

International dental journal
BACKGROUND: Accurate prediction of facial aesthetics after orthodontic treatment is crucial for clinical planning, yet traditional methodologies often lack the required accuracy and realism. We introduce a novel generative artificial intelligence fra... read more 

A population approach to cortical GABAergic interneuron function.

Neuron
Inhibitory interneuron diversity is a central feature of cortical circuits. The IN-CODE consortium seeks to combine large-scale recordings of interneuron types with machine-learning tools to identify the role of their physiological features, connecti... read more 

Convpaint-Interactive pixel classification using pretrained neural networks.

Cell reports methods
We present Convpaint, a universal computational framework for interactive pixel classification. Convpaint uses pretrained convolutional neural networks (CNNs), vision transformers (ViTs), or classical filter banks for feature extraction in combinatio... read more 

Tissue morphology predicts telomere shortening in human tissues.

Cell reports methods
We present TLPath, a deep learning framework that predicts bulk-tissue telomere length from tissue morphology extracted from routine histopathology images. The central thesis of TLPath is that telomere length can be determined from tissue morphology.... read more 

Jigsaws soup: Improved laparoscopic surgical gesture classification, and skill level evaluation using model souping.

Computers in biology and medicine
Laparoscopy has revolutionised surgery, with faster recovery and less trauma for patients. However, extensive training is needed to gain the required skills, with said training ideally involving simulation-based strategies. A shortage of human expert... read more 

Post-ageing guided closed-loop discovery of multi-element alloy catalysts for automotive exhaust purification.

Nanoscale advances
Multi-element alloy catalysts exhibit tunable electronic structures and remarkable thermal stability, making them promising materials for automotive exhaust purification. However, most data-driven explorations have emphasised fresh activity, overlook... read more 

Disclaimers and Referral Patterns for Medical Advice Across Urgency Levels: Large Language Model Evaluation Study.

Journal of medical Internet research
BACKGROUND: "I'm not a doctor, but..." is a typical response when asking considerate laypeople for health advice. However, seeking medical advice has also shifted to digital settings, where the expertise of the other party is less transparent than in... read more 

Biosphere expansion drives Earth's secular oxygenation while tectonics modulate oxygen variability revealed by machine learning.

Proceedings of the National Academy of Sciences of the United States of America
The rise of atmospheric oxygen fundamentally transformed Earth's surface environment and enabled the evolution of complex life. However, the processes driving long-term oxygen fluctuations remain poorly resolved, partly from limited proxy resolution ... read more 

On the optimal integration of intelligent agents into network systems to steer cooperation.

Proceedings of the National Academy of Sciences of the United States of America
Sociotechnical networks, in which humans and technologies act as interacting entities (also known as "hybrid systems"), increasingly face perturbations by automated agents. What this implies for immersive steering of collective behavior, and how this... read more