Artificial Intelligence Medical Compendium

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

Showing 34,211 to 34,220 of 221,510 articles

How self-efficacy influences Chinese university students' GenAI dependency: A study of the mediating roles of social anxiety and rumination and the moderating role of mindfulness.

Acta psychologica
With the recent, rapid advancement of artificial intelligence (AI) technology, an increasing number of university students are relying on generative artificial intelligence (GenAI) in their daily academic and personal lives. Although self-efficacy is... read more 

Survival prediction in non-small cell lung cancer using layer-wise radiomics and stacked radscore integration: a multi-institutional study.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
OBJECTIVES: To enhance prognostic modeling in patients with non-small cell lung cancer (NSCLC), we developed and externally validated a novel radiomics framework integrating region-specific feature selection and stacked modeling of radiomic signature... read more 

Explainable machine learning with SHAP decodes the heterogeneous burden of nasopharyngeal carcinoma in high-risk aging Asia.

Cancer epidemiology
BACKGROUND: Nasopharyngeal carcinoma (NPC) is a global public health concern, with a particularly high burden concentrated in East Asia, Southeast Asia, and high-income Asia-Pacific and disproportionately affecting older adults. However, the divergin... read more 

Integrative proteomics to illuminate host-parasite interactions in malaria.

Trends in parasitology
Genomic studies have transformed malaria research but provide only indirect proxies for the functional processes that govern infection progression and clinical outcomes. We argue that proteomics should be a core component of malaria systems biology. ... read more 

Beyond Data: Artificial intelligence, knowledge graphs, and the next revolution in wheat breeding.

Plant communications
As a cornerstone of global food security, wheat (Triticum aestivum) faces unprecedented pressure from a growing population and a changing climate. However, traditional breeding approaches are increasingly insufficient to address the genetic complexit... read more 

TriRNASP: A knowledge-based potential with three-body effects for accurate RNA structure evaluation.

Biophysical journal
Accurate RNA 3D structure evaluation on candidates is critical for accurate RNA 3D structure predictions. Although some knowledge-based potentials and scoring functions have been developed for RNA 3D structure evaluation, their performance still rema... read more 

Machine learning based prognostic model for oral squamous cell carcinoma using SEER data and external validation.

iScience
Oral squamous cell carcinoma (OSCC) is characterized by an insidious onset, pronounced aggressiveness, and a substantial impact on patient survival. Current prognostication relies heavily on the TNM staging system, which often lacks precision. To add... read more 

New directions for the Edinburgh Postnatal Depression Scale: towards an EPDS-R (revised).

The British journal of psychiatry : the journal of mental science
The Edinburgh Postnatal Depression Scale (EPDS) has been translated into over 60 languages, and for 40 years this 10-item EPDS has remained unchanged. Meanwhile many societies during these decades have undergone cultural changes, including the use of... read more