Artificial Intelligence Medical Compendium

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

Showing 40,361 to 40,370 of 223,737 articles

Soft Robotics and Advanced Technologies for Minimally Invasive Bioprinting: The Future of Internal Organ Repair.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Bioprinting, first proposed in the 1980s for ex vivo tissue fabrication, has evolved into a cornerstone of regenerative medicine. Conventional approaches rely on printing tissues outside the body for later implantation but are limited by geometric mi... read more 

Exploring quantum active learning for materials design and discovery.

Physical chemistry chemical physics : PCCP
The meeting of artificial intelligence (AI) and quantum computing is already a reality; quantum machine learning (QML) promises the design of better regression models. In this work, we extend our previous studies of materials discovery using classica... read more 

Development and Validation of the AI-HeartAge Model in Framingham and UK Biobank.

Hypertension (Dallas, Tex. : 1979)
BACKGROUND: Arterial pressure waveform shape conveys information regarding interactions between the left ventricle and aorta that could provide an estimate of biological heart age and cardiovascular disease (CVD) risk. METHODS: Artificial intelligenc... read more 

Operationalising One Health for epidermal parasitic skin diseases: threshold-triggered mass drug administration and a minimal indicator set.

Transactions of the Royal Society of Tropical Medicine and Hygiene
Epidermal parasitic skin diseases (EPSDs)-including scabies, pediculosis, cutaneous leishmaniasis, tungiasis and cutaneous larva migrans-affect millions worldwide yet remain neglected within global health programmes. Control is hindered by delayed di... read more 

Artificial intelligence modelling in grading breast phyllodes tumours.

Histopathology
BACKGROUND: Breast phyllodes tumours (PT) are rare biphasic neoplasms consisting of epithelial and stromal components. They are classified into benign, borderline and malignant categories. Diagnosing and grading PTs present a challenge for pathologis... read more 

Integrating Machine Learning and DFT Descriptors for Screening Dual Metal-Site Catalysts for CO2 Reduction to C2 Products.

Small (Weinheim an der Bergstrasse, Germany)
The electrochemical reduction of CO2 (CO2RR) offers a sustainable route to generate multi-carbon products (C2), but achieving high activity and selectivity remains a challenge. Dual metal-site catalysts (DMSCs), composed of two adjacent metal sites, ... read more 

Machine Learning Potentials for Inorganic and Hybrid Lead Halide Perovskites: From Phase Stability to Defects and Interfaces.

ACS applied materials & interfaces
Inorganic and hybrid lead halide perovskites are among the most promising candidates for next-generation optoelectronic devices. However, their further development is critically constrained by stability issues, including phase degradation, migration,... read more 

Comparison of Written and Visual Patient Education Methods Before Urodynamic Studies: A Randomized Controlled Trial.

Neurourology and urodynamics
PURPOSE: This study compared the effects of written versus visual patient education methods on patient anxiety, procedural comprehension, hemodynamic parameters, and patient satisfaction before urodynamic studies. METHODS: This randomized controlled ... read more 

Risks of Microplastics Shaping Viral Communities and Functions in Real Marine Environments.

Environmental science & technology
Microplastic (MP) pollution has become a global issue, especially in the oceans. However, the extent of changes in the ecological states of viruses that coexist with MPs and their subsequent influence on the biogeochemical cycle remain unclear. We fo... read more