Artificial Intelligence Medical Compendium

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

Showing 23,391 to 23,400 of 217,176 articles

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

Scientific reports
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
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
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
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
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
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
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 

Spatiotemporal single-cell atlas of suture stem cell dynamics in craniosynostosis.

Stem cell research & therapy
BACKGROUND: Craniosynostosis is a congenital disorder characterized by premature suture fusion and aberrant skull morphogenesis. The cellular dynamics and regulatory mechanisms of suture mesenchymal stem cells (SuSCs) in this disease remain poorly de... read more 

Reconstruction of Molecular Interaction Patterns from Endolysosomes in Ceramide-Depleted Cells.

Nano letters
Ceramide synthase (CerS) is a key enzyme in sphingolipid metabolism, predominantly maintaining lipid homeostasis within the endoplasmic reticulum (ER). Capturing the biochemical consequences of CerS activity at the subcellular level is of great inter... read more 

Development and validation of a machine learning-based screening tool for early detection of adolescent suicide risk.

Journal of child psychology and psychiatry, and allied disciplines
BACKGROUND: Adolescent suicide remains a significant public health concern, yet existing suicide screening instruments primarily focus on already manifested suicidal phenomena, underscoring the need for reliable and practical tools to enable early id... read more