Artificial Intelligence Medical Compendium

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

Showing 44,411 to 44,420 of 224,055 articles

Confidence Without Verification: Screening pLDDT Unreliability in AlphaFold2 Fold-Switching Predictions

bioRxiv
AlphaFold2 (AF2) has transformed structural biology, yet its confidence metrics, particularly the predicted Local Distance Difference Test (pLDDT) and predicted Template Modelling score (pTM), systematically fail for fold-switching proteins, which ad... read more 

Determinants of visual ambiguity resolution

bioRxiv
Visual inputs during natural perception are highly ambiguous: objects are frequently occluded, lighting conditions vary, and object identification depends significantly on prior experiences. However, why do certain images remain unidentifiable while ... read more 

Differential quadruple pattern: A new EEG signal classification framework.

IBRO neuroscience reports
EEG signals are the letters of the brain and reflect neural activity. Abnormal EEG patterns indicate brain disorders such as epilepsy. Recently, machine learning has enabled automated EEG interpretation with high accuracy. This study introduces an ex... read more 

Deep Learning-Derived Body Composition Analysis Predicts Long-Term Mortality After Transcatheter Aortic Valve Replacement.

Mayo Clinic proceedings. Digital health
OBJECTIVE: To examine the association between body composition metrics derived from preprocedural computed tomography (CT) angiography and all-cause mortality after transcatheter aortic valve replacement (TAVR). PATIENTS AND METHODS: We included pati... read more 

Smartphone Detection of Fetal Movements Using Artificial Intelligence.

Obstetrics and gynecology
OBJECTIVE: To evaluate whether machine learning could be used with audio recordings from a smartphone to detect fetal movements that create disruptions of the amniotic fluid environment. METHODS: We conducted a prospective study to simultaneously rec... read more 

Do ChatGPT and Gemini provide accurate answers to patient questions about glenohumeral arthritis?

JSES reviews, reports, and techniques
BACKGROUND: Machine learning, a subset of artificial intelligence, enables large language models (LLMs) like ChatGPT and Gemini to analyze data, learn from context, and generate responses without explicit programming. While machine learning and LLMs ... read more 

Smart farming approaches in medicinal plant cultivation: a review of techniques, benefits, and sustainability.

Planta
Smart farming technologies significantly enhance medicinal plant cultivation by improving yield, quality, and sustainability, while addressing traditional challenges through precision, automation, and data-driven decision-making. Medicinal plants hav... read more 

Spatial analysis of air pollution and cancer prevalence in Texas: a machine learning approach using satellite remote sensing data.

Environmental monitoring and assessment
Cancer prevalence in the world has been attributed to exposure to air pollutants. However, spatial analyses utilizing remote sensing data have been limited. This study combined satellite-derived measurements of eight air pollutants (SO2, NO2, CO, HCH... read more 

Longitudinal evaluation of intra-patient changes in computed tomography-based body composition measures.

Abdominal radiology (New York)
OBJECTIVE: To report longitudinal intra-patient changes in CT-based body composition using fully automated AI tools in an adult patient sample. METHODS: This retrospective longitudinal study included 15,616 adult patients (mean age at first CT, 53.0 ... read more 

In vivo quantification of arterial active mechanics using deep learning-assisted pressure-area analysis.

Biomechanics and modeling in mechanobiology
Active arterial mechanics, governed by vascular smooth muscle contraction, are critical to physiological regulation, cardiovascular disease progression, and clinical diagnosis. Although various in vivo methods have been developed to assess arterial s... read more