Artificial Intelligence Medical Compendium

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

Showing 52,121 to 52,130 of 225,279 articles

A new method of off-site inverse carbon accounting and its application in agriculture carbon measurement.

PloS one
This research introduces an innovative agricultural carbon accounting approach for straw burning that combines stochastic process modeling with LSTM neural networks. Traditional methods face limitations including high uncertainty, fragmented data, an... read more 

Does generative AI dependence foster creativity? Evidence from sports undergraduates.

PloS one
As an emerging technological tool, generative AI profoundly reshapes higher education teaching and learning processes. Creativity, as a key component of university students' core competencies, is significantly influenced by technological transformati... read more 

Interpretable ensemble machine learning framework for cardiovascular disease prediction using EMR data and large language models in Ethiopia.

PloS one
Cardiovascular diseases (CVDs) are leading causes of morbidity and mortality globally, with a growing burden in low- and middle-income countries such as Ethiopia. Early detection is limited by resource constraints, low screening uptake, and a lack of... read more 

Recent Advances in Decoupling Strategies for Soft Sensors.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Soft sensors have shown great promise in emerging fields such as wearable electronics, soft robotics, personalized healthcare, and human-machine interaction. However, their practical deployment remains limited due to signal interference and cross-sen... read more 

Current Status of Molecular Dynamics Simulations of Membrane Permeabilization by Antimicrobial Peptides and Pore-Forming Proteins: A Review.

Journal of chemical information and modeling
Biological membranes are crucial for cellular integrity and function, but their selective permeability can be compromised by various peptides and proteins, such as antimicrobial peptides (AMPs) and pore-forming proteins/toxins (PFPs/PFTs). These mole... read more 

Prehospital Blood Collection for High Sensitivity Cardiac Troponin Measurement in Patients with Acute Chest Pain.

Prehospital emergency care
OBJECTIVES: High sensitivity cardiac troponin (hs-cTn) measures are used in the emergency department (ED) to evaluate patients with acute chest pain. Prehospital hs-cTn measurement could facilitate earlier rule-out of myocardial infarction (MI). The ... read more 

Generative AI Chatbots as Digital Adjuncts for Sexual Health Information After Prostate Cancer in Men Who Have Sex With Men: Auto-Netnographic Study.

JMIR cancer
BACKGROUND: Sexual health concerns following prostate cancer treatment are common yet often insufficiently addressed in clinical practice, particularly among men who have sex with men. These individuals may face additional barriers stemming from hete... read more 

Machine-Learning-Guided Design of Incommensurate Antiferroelectrics via Field-Driven Phase Engineering.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Antiferroelectrics, defined by antiparallel polarization configurations, have emerged as promising dielectric materials for high-performance energy storage applications. The energy storage density and efficiency of antiferroelectrics are governed by ... read more 

Mining lysine post-translational modification sites by integrating protein language model representations with structural context.

Proceedings of the National Academy of Sciences of the United States of America
Lysine (Lys/K) residues serve as major hubs for post-translational modifications (PTMs) owing to the chemical versatility of their ε-amino groups, giving rise to diverse regulatory functions. Accurate and efficient identification of modified lysine r... read more 

A Survey on Learning Motion Planning and Control for Mobile Robots: Toward Embodied Intelligence.

IEEE transactions on neural networks and learning systems
Mobile robots are increasingly playing a pivotal role in various fields, including environmental monitoring and search-and-rescue tasks. The ultimate development goal for robots is to achieve embodied artificial intelligence (embodied AI), which enab... read more