Artificial Intelligence Medical Compendium

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

Showing 36,451 to 36,460 of 223,137 articles

Classification of depressed and non-depressed MCI and non-depressed cognitively normal individuals using resting-state metrics: A multi-group study with machine learning and graph reinforcement learning.

Journal of affective disorders
Depressive symptoms frequently co-occur in individuals with Mild Cognitive Impairment (MCI) and are thought to accelerate neurodegenerative progression. However, the underlying neural mechanisms of Depressed MCI (DMCI) remain largely unclear. This st... read more 

EEG-AI: An agentic system for AI-assisted semi-automated EEG preprocessing and artifact removal.

Journal of neuroscience methods
BACKGROUND: EEG is widely used to identify neural markers, personalize treatments, and evaluate interventions. However, low signal-to-noise ratio and mixing of artifactual distorted interpretation. Traditional preprocessing approaches, including Inde... read more 

Can large language models like ChatGPT and Gemini interpret cervical cytology accurately?

Annals of diagnostic pathology
Large language models (LLMs) have shown promise in medical imaging, but their utility in cytology remains underexplored. This study evaluates GPT-5 and Gemini 2.5 Pro for cervical Pap test interpretation. Digital cervical Pap test images of 100 cases... read more 

Development and Clinical Validation of a Protocol-Agnostic Machine Learning Platform for Automated Treatment Planning in External Beam Radiation Therapy.

Advances in radiation oncology
PURPOSE: To develop and validate a protocol-agnostic machine learning platform ("Predictive Planning") for knowledge-based planning (KBP) in external beam radiation therapy. METHODS AND MATERIALS: Five thousand three hundred thirty-four retrospective... read more 

Uncover This Tech Term: Tumor Habitat Analysis.

Korean journal of radiology
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Ultrasonographic Evaluation of Pediatric Thyroid Nodules: Adult Risk Stratification Systems, 2021 K-TIRADS Revision, and Future Refinements.

Korean journal of radiology
Although pediatric thyroid cancer is rare, it has characteristics distinct from those of adult thyroid cancer. Thyroid nodules in children present a higher risk of malignancy, more frequent lymph node and distant metastases, and distinct molecular pr... read more 

Derivation of safety threshold for soil organic chemicals based on source-transport-fate dynamics in the soil-groundwater system: A case study of soil 1,2,3-trichloropropane in the Yangtze River Delta region, China.

Journal of hazardous materials
1,2,3-Trichloropropane (TCP) is a persistent and highly toxic contaminant that poses substantial risks to groundwater systems. However, deriving groundwater-protective soil safety thresholds remains challenging because conventional empirical methods ... read more 

Small but mighty: Peptides as next-generation immunotargeting agents in gynecological cancers.

Translational oncology
The most common cancers in women, ovarian, cervical and endometrial, are still a significant cause of cancer-related illness and death around the world. Success with the newest immunotherapy can only be achieved when the treatment targets the tumor a... read more 

The prediction and impact of self-criticism on non-suicidal self-injury in adolescents: A study based on machine learning.

Acta psychologica
This study uniquely combines machine learning with structural equation modeling to investigate how self-criticism affects non-suicidal self-injury (NSSI) behaviors in adolescents. Using a Support Vector Machine (SVM) for binary classification (distin... read more