Artificial Intelligence Medical Compendium

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

Showing 47,361 to 47,370 of 224,199 articles

Automated Model Discovery Based on COVID-19 Epidemiologic Data

medRxiv
The COVID-19 pandemic has presented severe challenges in understanding and predicting the spread of infectious diseases, necessitating innovative approaches beyond traditional epidemiological models. This study introduces an advanced method for autom... read more 

Patient Attitudes Toward Artificial Intelligence in Jordanian Healthcare: A Cross-Sectional Survey Study

medRxiv
Artificial intelligence (AI) is increasingly integrated into healthcare delivery, yet patient acceptance in resource constrained settings remains incompletely characterized. This study assessed attitudes toward AI supported care among patients attend... read more 

Data-Driven Hybrid Model of SARIMA-CNNAR For Tuberculosis Incidence Time Series Analysis in Nepal

medRxiv
Abstract Background Tuberculosis (TB) remains a major public health challenge in Nepal, with incidence rates substantially higher than global estimates. Accurate forecasting of TB incidence is essential for early warning systems, resource allocation,... read more 

Morphological set enrichment enables interpretable prognostication and molecular profiling of meningiomas

medRxiv
Meningiomas are the most common primary brain tumors and, despite their benign reputation, often behave aggressively. Meningiomas are morphologically heterogeneous, yet the full significance of their histologic diversity is unclear. This is in large ... read more 

Benchmarking Transfer Learning for Dense Breast Tissue Segmentation on Small Mammogram Datasets

medRxiv
Dense breast tissue diminishes the sensitivity of mammographic screening and is a key cancer risk factor, which motivates accurate segmentation under scarce and expensive expert annotations in the medical imaging domain. Here, we benchmark the effect... read more 

AI-based Speech Error Detection to Differentiate Primary Progressive Aphasia Variants

medRxiv
Background: Artificial Intelligence (AI) based approaches to speech analysis have the potential to assist with objective speech error analysis in aphasia but off-the-shelf tools often fail to detect speech errors due to prioritizing "fluent transcrip... read more 

Plasticity and Language in the Anesthetized Human Hippocampus

bioRxiv
Consciousness is a fundamental component of cognition,1 but the degree to which higher-order pattern recognition relies on it remains disputed.2,3 Here we demonstrate the persistence of oddball discrimination, semantic processing, and online predicti... read more 

EnhancerDetector: Enhancer Discovery from Human to Fly via Interpretable Deep Learning

bioRxiv
Deciphering how enhancers encode regulatory information in DNA remains a central genomics challenge, as sequencing outpaces functional annotation. A key question is whether enhancers possess an intrinsic, sequence-based "enhancerness" distinguishing ... read more 

Enhancing Detection of Polygenic Adaptation: A Comparative Study of Machine Learning and Statistical Approaches Using Simulated Evolve-and-Resequence Data

bioRxiv
Detecting signals of polygenic adaptation remains a significant challenge in population genomics, as traditional methods often struggle to identify the associated subtle, multi-locus allele-frequency shifts. Here, we introduced and tested several nov... read more 

Aesthetic Component of the Index of Orthodontic Treatment Need (IOTN): Can large language models match the performance of orthodontists?

Korean journal of orthodontics
OBJECTIVE: The assessment of orthodontic treatment needs often involves subjective judgment, particularly when using esthetic indices such as the Aesthetic Component (AC) of the Index of Orthodontic Treatment Need (IOTN). This cross-sectional diagnos... read more