Artificial Intelligence Medical Compendium

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

Showing 50,541 to 50,550 of 225,062 articles

Practical integration of machine learning into ab initio calculations and workflows: Accelerating the SCF cycle via density matrix predictions.

The Journal of chemical physics Feb 14, 2026
Data-driven approaches offer great potential for accelerating ab initio electronic structure calculations of molecules and materials, but their transferability is often limited due to the vast amount of data needed for training, including the need to... read more 

Enabling accurate chemical modeling of shocked energetic materials using a machine learning interatomic potential.

The Journal of chemical physics Feb 14, 2026
Understanding the complex chemistry of organic materials under dynamic compression is important for many applications, but it is challenging due to the large number of reactions occurring at various time scales. Here, we develop a machine learning po... read more 

Resolving the body-order paradox of machine learning interatomic potentials.

The Journal of chemical physics Feb 14, 2026
In many cases, the predictions of machine learning interatomic potentials (MLIPs) can be interpreted as a sum of body-ordered contributions, which is explicit when the model is directly built on neighbor density correlation descriptors and is implici... read more 

In Silico Approaches in Benzimidazole Derivatives Research: Recent Insights.

Zhongguo ying yong sheng li xue za zhi = Zhongguo yingyong shenglixue zazhi = Chinese journal of applied physiology Feb 14, 2026
Benzimidazole remains a privileged heteroaromatic scaffold with broad therapeutic potential, spanning antimicrobial, anticancer, antitubercular, and antiviral domains. In recent years (2020-2025), computational methodologies have significantly accele... read more 

Minimization of outage probability and energy consumption by deep learning-based prediction in D2D mm wave communication.

Scientific reports Feb 14, 2026
Device-to-device (D2D) communication is used to frequently gather and exchange information in various domains. Millimeter-wave research has also incorporated D2D networks. The reliability of multiuser communication is more challenging because of the ... read more 

Comparing decentralized machine learning and AI clinical models to local and centralized alternatives: a systematic review.

NPJ digital medicine Feb 14, 2026
This systematic review evaluates how decentralized learning (DL) approaches-e.g., federated learning, swarm learning, ensemble-compare with traditional models in healthcare applications. We searched eight databases (01/2012 to 03/2024), screening 165... read more 

The emerging impact of CRISPR and gene editing on global crop improvement.

Transgenic research Feb 14, 2026
The advent of CRISPR-based genome editing has revolutionized crop improvement, offering unprecedented precision and efficiency in modifying key agronomic traits. This review comprehensively examines the mechanisms, applications, and future potential ... read more 

A review of artificial intelligence enhanced cognitive behavioural therapy using the BECK AI BOT for mental health interventions.

Discover mental health Feb 14, 2026
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Machine learning-based analysis of economic efficiency disparities and transition drivers between high- and low-carbon industries in China.

Carbon balance and management Feb 14, 2026
In the context of global climate change, understanding economic efficiency disparities between high-carbon and low-carbon industries is crucial for advancing low-carbon transitions and improving carbon governance. This study examines heterogeneity in... read more 

AI use in peer review: Strict regulation may still be needed.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics Feb 14, 2026
Manuscript review is crucial to scientific progress. Although artificial intelligence (AI) may appeal to time-pressed clinicians for its efficiency, peer review should be performed by "peers", not AI. While AI use in writing has gained wider permissi... read more 
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