Artificial Intelligence Medical Compendium

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

Showing 2,381 to 2,390 of 202,214 articles

Integrating artificial intelligence into drug delivery systems: Formulation development and current challenges.

European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V
Artificial intelligence (AI) is increasingly being explored as a supportive tool to address persistent challenges in drug delivery research, particularly those associated with formulation complexity, optimization efficiency, and controlled drug relea... read more 

Chest Radiograph-Derived Age Acceleration as an Early Marker of Pulmonary Dysfunction in Middle-Aged Asians.

Chest
BACKGROUND: Deep learning-derived, chest radiographic (CXR) age may capture subclinical structural changes associated with spirometric impairment. RESEARCH QUESTION: Is CXR-based accelerated aging associated with the prevalence and incidence of prese... read more 

Update on the structure-Function relationship in glaucoma.

Survey of ophthalmology
The relationship between structural and functional damage in glaucoma, the structure-function relationship, forms the cornerstone of disease assessment, monitoring, and prognosis. We provide an updated synthesis of current knowledge on the structure-... read more 

Scientific publishing in the era of artificial intelligence: Integrity and responsibility.

Revista portuguesa de cardiologia : orgao oficial da Sociedade Portuguesa de Cardiologia = Portuguese journal of cardiology : an official journal of the Portuguese Society of Cardiology
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Integrating multisequence radiomics and clinical features to predict seizure recurrence after gross total resection of pediatric low-grade epilepsy-associated brain tumors.

Neuroradiology
OBJECTIVE: This study aimed to develop a predictive model integrating clinical features and multisequence MRI radiomics to forecast postoperative seizure outcomes in pediatric patients with low-grade epilepsy-associated tumors (LEATs) who underwent g... read more 

Multi-omics and artificial intelligence for precision drug discovery and potential clinical applications.

Signal transduction and targeted therapy
The integration of multiomics technologies with artificial intelligence (AI) has become a transformative force in modern precision medicine, particularly within drug discovery. Multiomics approaches, including genome-wide association studies, transcr... read more 

Integrating machine learning and WGCNA to identify core candidate genes and decipher immune-related molecular networks in TcdA/TcdB-associated CDI.

Antonie van Leeuwenhoek
Clostridioides difficile infection (CDI) remains a leading cause of healthcare-associated diarrhea and is characterized by high recurrence rates and inadequate predictive tools despite available therapeutic options. Current toxin- or nucleic acid-bas... read more 

Investigating the structure of the greylag goose vocal repertoire: what can unsupervised methods tell us?

Scientific reports
Defining a comprehensive signal repertoire is an important step to understanding a species' vocal communication system. Here, we investigated the vocal repertoire of a well-investigated model species in ethology: the greylag goose (Anser anser). We a... read more 

A LSTM-based model predictive control method for unlocking the potential of building energy flexibility in Malaysian commercial buildings.

Scientific reports
Buildings are regarded as promising energy flexibility resources due to their significant energy consumption and better integration into the electricity grid. To fully exploit the potential of building flexibility in tropical climates, optimized oper... read more 

Tri-MCA fusion: cross-modal attention and dynamic gating for multimodal sentiment analysis.

Scientific reports
Multimodal sentiment analysis aims to automatically infer human emotions by jointly analyzing information from multiple modalities, such as text, audio, and visual signals. Although recent deep learning approaches have significantly improved multimod... read more