Artificial Intelligence Medical Compendium

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

Showing 44,181 to 44,190 of 224,055 articles

AI and Qualitative Health Research: Working Through a Necessary Grieving Process.

Qualitative health research Mar 6, 2026
Qualitative health research has been shaken by the rapid uptake of artificial intelligence (AI), especially large language models. Drawing on Kübler-Ross's five-stage grief heuristic, we articulate a provocative, yet constructive, map of the field's ... read more 

Ta-SLOA: Taylor snow leopard optimization with XCovNet-based object classification using vehicle image.

Traffic injury prevention Mar 6, 2026
OBJECTIVE: Detecting objects is a core challenge in computer vision and plays a vital role in applications like self-driving cars, traffic surveillance, and smart transportation networks. Accurate vehicle object detection is essential for various app... read more 

From tests to truth: A misclassification-aware machine learning framework for estimating brucellosis seroprevalence in wild canids.

PLoS neglected tropical diseases Mar 6, 2026
Brucellosis is an important zoonotic disease affecting humans, livestock, and wildlife, yet prevalence estimates in wild species are often underestimated due to limited attention to surveillance, as well as insufficient and biased sampling. To clarif... read more 

Hybridizing deep learning algorithms and geostatistical approaches for improved crop yield disaggregation.

PloS one Mar 6, 2026
Reliable crop yield estimates at fine spatial resolution are essential for precision agriculture, food security planning, and insurance schemes. However, yield statistics are reported at coarser administrative levels, limiting their applicability for... read more 

PAH-former: Transfer learning for efficient discovery of pulmonary arterial hypertension-associated genes.

PloS one Mar 6, 2026
BACKGROUND AND AIMS: Pulmonary arterial hypertension (PAH) is a severe disease with limited effective therapies, making the discovery of new therapeutic targets crucial. While single-cell RNA sequencing (sc-RNA seq) offers a powerful tool for this pu... read more 

Transcriptomic analysis and machine learning have identified shared diagnostic genes and a possible mechanism linking bipolar disorder and epilepsy.

Medicine Mar 6, 2026
It is well known that bipolar disorder (BD) and epilepsy (EP) are common neurological diseases. The objective of this study was to screen for potential biomarkers applicable to the diagnosis of EP and BD. The gene expression profiles from both the BD... read more 

Prediction of surgery type for uterine fibroids using machine learning algorithms and hormone values.

Medicine Mar 6, 2026
This study aimed to develop and externally validate machine learning (ML)-based models to characterize surgical classification patterns between hysterectomy and myomectomy using fibroid characteristics and female sex hormone profiles. This multicente... read more 

Smartphone addiction and temporomandibular disorders among university students: A machine learning based multiple regression analysis study.

Medicine Mar 6, 2026
Temporomandibular disorders (TMD) involve complex interactions among behavioral and musculoskeletal factors, and machine learning (ML) has increasingly been used to model these multidimensional relationships. This study aimed to investigate the relat... read more 

Body mass index and diet-related inflammation as predictors of sleep disorders: A cross-sectional study.

Medicine Mar 6, 2026
This study examines diet as a key risk factor for sleep disorders and integrates physiological indicators to develop a machine learning (ML)-based model for targeted public health interventions. Data from 5158 2011 to 2014 National Health and Nutriti... read more 

The effect of neoadjuvant therapy on radiological, surgical, and pathological results in nonmetastatic breast cancer: A retrospective observational study.

Medicine Mar 6, 2026
The aim of the study was to evaluate the concordance between radiological imaging modalities and pathological findings and to test whether neoadjuvant therapy (NAT) is included in surgical planning, especially in the appropriateness of breast-conserv... read more 
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