Artificial Intelligence Medical Compendium

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

Showing 781 to 790 of 213,137 articles

Accurate Molecular Properties via Bootstrap Embedding.

The journal of physical chemistry letters
We demonstrate the utility of back-transformed bootstrap embedding (BE) one- and two-particle density matrices (1 and 2-PDMs) by computing dipole moments and force gradients for several polar systems. The resulting mean absolute error in atomic force... read more 

Objective and Quantitative Assessment of Facial Vitiligo via AI-powered 3D Analysis for Diagnostic Support.

The British journal of dermatology
BACKGROUND: Traditional vitiligo assessment methods rely on subjective evaluation and 2D photographic analysis, limiting consistency and accuracy in clinical practice. OBJECTIVE: To develop and validate an AI-assisted, 3D reconstruction-based system ... read more 

Self-Supervised Learning for Molecular Property Prediction: Methods, Multimodal Insights, and Benchmark Comparisons.

Journal of chemical information and modeling
Computer-aided drug discovery has substantially accelerated modern pharmaceutical research, where accurate molecular property prediction plays a central role in identifying promising therapeutic candidates. Self-supervised learning (SSL), which explo... read more 

Current overview of health technologies for antimicrobial resistance (AMR) management in hospitals: a scoping review, bibliometric analysis and technological prospecting.

Expert review of anti-infective therapy
INTRODUCTION: Antimicrobial resistance (AMR) represents one of the greatest global public health challenges and is intensified by inappropriate antimicrobial use, mobility, and limited availability of novel therapeutic options. Digital health technol... read more 

Quality of Tinnitus Information From Generative AI Systems and Web Search: An Expert‑Rated Comparative Study.

Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology
OBJECTIVE: To compare the quality of tinnitus-related information generated by multiple generative artificial intelligence (GenAI) systems and web search using expert evaluation. STUDY DESIGN: Cross-sectional comparative study. SETTING: Digital platf... read more 

Deep-UV Plasmonics with Stable In2Au Alloy (Blue Gold) Nanoparticles.

ACS nano
Surface plasmon resonances in nanoparticles are intensely studied in fundamental and applied research as they permit investigating the interplay between atomic and electronic structures and generate strongly enhanced local electric fields. For the co... read more 

Operando surface reconstruction steers the electrochemical CO2 reduction behaviors.

Chemical communications (Cambridge, England)
Electrochemical CO2 reduction is an important route to realize carbon neutrality while converting CO2 into value-added chemicals. However, its practical application is hindered by the poorly controlled surface reconstruction of electrocatalysts occur... read more 

A Closed-Loop Framework for Inverse Design: Dynamic Training and Intelligent Optimization for Heterostructured Materials.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
For decades, heterostructured materials have attracted great research interest because of their remarkable mechanical and physical properties. Nevertheless, exploring the immense design space to address the intrinsic trade-off between strength and to... read more 

Reimagining Lignin Valorization: Synthetic Biology-Enabled Sustainable Aromatic Carbon Biomanufacturing.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Lignin, the largest renewable aromatic carbon reservoir, represents a foundational yet underutilized feedstock for sustainable biomanufacturing. Despite decades of effort, its effective integration remains constrained, not only by inefficient depolym... read more 

Attribution of PM2.5-Induced Transcriptomic Perturbation to Toxic Components.

Environmental science & technology
Ambient fine particulate matter (PM2.5) is a chemically complex mixture whose health impacts are not fully captured by particle mass. Here, we developed an interpretable chemotranscriptomic framework to attribute PM2.5-induced molecular perturbations... read more