Artificial Intelligence Medical Compendium

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

Showing 8,801 to 8,810 of 208,441 articles

Democratizing Artificial Intelligence in Toxicology: Real-World Applications and Automated Computational Workflows.

Chemical research in toxicology
Artificial intelligence (AI) and machine learning are transforming toxicological research and chemical safety assessment. Although user-friendly computational toxicology platforms are increasingly available, integrating, customizing, and deploying AI... read more 

The Humanistic Basis of Psychoanalytic Practice.

Journal of the American Psychoanalytic Association
This essay argues that psychoanalytic practice rests on a humanistic foundation irreducible to, and of a different order from, artificial intelligence. While large language models can simulate dynamic formulations, interpretations, and even therapeut... read more 

From AI anxiety to educational opportunity: equitable and practical uses of artificial intelligence in STEM education.

Journal of microbiology & biology education
The rapid integration of artificial intelligence into higher education has generated both enthusiasm and concern among STEM educators. Current discourse has largely emphasized risks related to academic integrity, student overreliance, and assessment ... read more 

Bioinspired Ultrastretchable Aramid Triboelectric Aerogels for Intelligent Vehicle Seat.

Advanced materials (Deerfield Beach, Fla.)
Aerogels have demonstrated considerable potential in the field of flexible sensors owing to the tunability of porous architectures. The brittleness and low stretchability induced by high porosity remain key limitations restricting aerogel application... read more 

From Virtual Molecules to Clinical Trials: How AI Is Reshaping Preclinical Drug Discovery.

Journal of medical Internet research
Pharmaceutical development is typically a long and arduous process, but advances in artificial intelligence may help streamline each stage of this pipeline. In this News and Perspectives article, JMIR Correspondent Benedette Cuffari reports on recent... read more 

Artificial intelligence driven digital reproductive health education: Building a terminology database to improve Spanish health communication training.

African journal of reproductive health
This study proposes an artificial intelligence based pipeline to create a standardized Spanish reproductive health terminology database, addressing challenges like inconsistent terminology and direct machine translation in existing digital education ... read more 

Developing Predictive Models by Sharing Predictions - An Investigation of a Federated Learning Approach for ADMET Predictions.

Journal of medicinal chemistry
Machine learning models for ADMET prediction benefit from large, diverse data sets, yet such data are typically siloed across organizations. Federated learning (FL) enables collaborative modeling while preserving data privacy. Here, we investigate a ... read more 

AI-microbial hybrid biosensors: the next generation of intelligent detection systems.

Future microbiology
The convergence of artificial intelligence (AI) and microbial biosensor technology is transforming pathogen detection, environmental surveillance, antimicrobial resistance (AMR) profiling, and precision diagnostics. Microbial biosensors exploit the s... read more 

Machine Learning Accelerated Non-Adiabatic Molecular Dynamics Elucidates Local Polarization Effects on Non-radiative Recombination in Halide Perovskites.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Non-radiative recombination is a critical factor limiting the optoelectronic performance of halide perovskites, yet how local polarization induced by charge redistribution regulates this process remains unclear. To gain deeper insight while reducing ... read more 

How Advanced Artificial Intelligence Technologies Shape Drug-Drug and Drug-Target Interaction Modeling.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Drug molecular interactions, including drug-drug interactions (DDIs) and drug-target interactions (DTIs), are critical for drug discovery and clinical safety, increasingly propelled by artificial intelligence (AI) technologies. Although previously tr... read more