Artificial Intelligence Medical Compendium

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

Showing 66,411 to 66,420 of 232,447 articles

Optimized primer and model improve precision of X chromosome telomere length determination in the Han population.

iScience
The attrition of telomere length is associated with cellular aging and plays a role in multiple age-related disorders. This study analyzed the relationship between telomere length on the X chromosome and age in the Han population (n = 492) using whol... read more 

Development and preliminary evaluation of a machine learning model for predicting low birth weight using placental IVIM-MRI and maternal clinical characteristics.

European journal of obstetrics, gynecology, and reproductive biology
OBJECTIVE: To identify key placental intravoxel incoherent motion (IVIM) MRI parameters and maternal factors associated with low birth weight (LBW), and develop a prenatal predictive model for LBW risk assessment. METHODS: This retrospective study an... read more 

A Humanist's View of Artificial Intelligence in Orthopaedic Surgery.

The Journal of bone and joint surgery. American volume
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Data-Driven Learning of Optimal Position-Dependent Exact-Exchange Energy Density Mixing for Improved Density Functionals.

The journal of physical chemistry. A
A transparent, data-driven route to improve approximate density functionals by learning only the position dependence of an exact-exchange admixture in local hybrid functionals is discussed. Motivated by the scarcity of exact constraints for valence r... read more 

Large language models versus healthcare professionals in providing medical information to patient questions: A systematic review.

International journal of medical informatics
OBJECTIVE: The rapid expansion of digital healthcare has heightened the volume of patient communication, thereby increasing the workload for healthcare professionals. Large Language Models (LLMs) hold promises for offering automated responses to pati... read more 

Disrupted brain connectivity in postpartum depression: Insights from resting-state fMRI and machine learning.

Psychiatry research. Neuroimaging
BACKGROUND: Postpartum depression (PPD) is a common women's psychological health issue. While studies have identified regional functional abnormalities, the global functional topological alterations associated with PPD remain to be fully characterize... read more 

Cerebral hemodynamics and functional connectivity in the stroop test in Parkinson's disease patients: A machine learning approach to fNIRS features.

Psychiatry research. Neuroimaging
BACKGROUND: Cognitive impairment is a core non-motor feature of Parkinson's disease (PD). This study aimed to: (1) assess PD patients' performance on the color-word Stroop task and characterize task-related neural activity; (2) develop PD diagnostic ... read more 

Exploring the feature prioritization and data sampling of PCOS diagnosis via densely connected attention based squeeze deep learning detection model.

The Journal of steroid biochemistry and molecular biology
Accurate and timely diagnosis remains a challenge due to the complexity of Polycystic Ovary Syndrome (PCOS) symptoms and data imbalance issues in the existing datasets. This research aims to develop a robust PCOS detection model that addresses these ... read more 

Integrating AI-ECG and point-of-care cardiac ultrasound for screening structural heart disease: A proof-of-concept study.

American heart journal
BACKGROUND: Early structural heart disease (SHD) detection is crucial for improving prognostic outcomes, but widely accessible screening methods are lacking. The advent of artificial intelligence-enabled electrocardiograms (AI-ECG) and point-of-care ... read more