Artificial Intelligence Medical Compendium

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

Showing 23,051 to 23,060 of 216,842 articles

Factorization machine with quadratic-optimization annealing for RNA inverse folding and evaluation of binary-integer encoding and nucleotide assignment.

Scientific reports May 3, 2026
The RNA inverse folding problem aims to identify nucleotide sequences that preferentially adopt a given target secondary structure. While various heuristic and machine learning-based approaches have been proposed, many require a large number of seque... read more 

A multi-modal deep learning framework for enhanced breast cancer diagnosis using mammograms and clinical data.

Scientific reports May 3, 2026
The fatality due to breast cancer is one of the most universal causes among women worldwide. The limited interpretation is due to tissue overlapping, high breast density and delicate lesion characteristics even though mammography is the standard scre... read more 

Reliability and readability of five AI chatbots for concussion health advice across retrieval augmented and pretrained models.

Scientific reports May 3, 2026
Generative AI is rapidly entering patient education workflows, yet its safety profile for concussion management remains undefined. Utilizing the CHART framework, this cross-sectional audit assessed five platforms, specifically isolating retrieval-aug... read more 

Leveraging neural networks to model tourist behaviour for sustainable heritage conservation.

Scientific reports May 3, 2026
Artificial intelligence, as an emerging technological science, provides advanced methods for simulating and extending human intelligence. The technological convergence from various domains has been the focus of researcher community for the last few y... read more 

The architecture of computational antiviralism: a multi-scale framework from molecular targeting to viral ecosystem engineering.

Molecular diversity May 3, 2026
The recurrent outbreak of viral pathogens and the possibility of the new pandemics demand the transition to the predictive and integrative computational frameworks instead of reactive one. This review describes computational antiviralism as an integr... read more 

Deep learning architectures achieve state-of-the-art (SOTA) accuracy in protein secondary structure prediction.

Molecular diversity May 3, 2026
Protein secondary structure prediction represents an important intermediate step between a protein's linear amino acid sequence and its three-dimensional structure, with broad implications for synthetic biology, drug development, and disease research... read more 

Formulating a concept of operation (ConOps): A stakeholders-assisted standardization process for developing an integrated wildfire management platform.

Ambio May 3, 2026
Wildfire management is undergoing rapid transformation as data fusion, artificial intelligence, and participatory approaches are used to enhance ecosystem resilience and community safety. This paper presents the development of a concept of operations... read more 

Assessment of the Performance of Siemens Scopio Digital Morphology on Bone Marrow Aspirates in Onco-Hematology.

International journal of laboratory hematology May 3, 2026
OBJECTIVES: Digital morphology (DM) systems assisted by artificial intelligence are increasingly being introduced into hematology laboratories; however, data on their performance in routine clinical practice for bone marrow aspirates (BMA) remain lim... read more 

The association between triglyceride glucose-frailty index and cardiometabolic multimorbidity among Chinese middle-aged and older adults: a national prospective cohort study.

Cardiovascular diabetology May 3, 2026
BACKGROUND: Cardiometabolic multimorbidity (CMM) poses a growing global health burden, yet few studies have combined the Triglyceride-Glucose (TyG) index, which reflects metabolic dysfunction, with the Frailty Index (FI), which captures physiological... read more 

Visualization analysis of research hotspots and trends in Type B Aortic Dissection based on bibliometrics.

Journal of cardiothoracic surgery May 3, 2026
PURPOSE: This study aims to systematically map and analyze the knowledge structure, research hotspots, and evolutionary trends in the field of Type B Aortic Dissection (TBAD) using bibliometric methods. PATIENTS AND METHODS: CiteSpace and VOSviewer w... read more 
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