Artificial Intelligence Medical Compendium

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

Showing 11,761 to 11,770 of 210,187 articles

Toward simultaneous pseudo-space reconstruction and cell-type deconvolution of single-cell spatial transcriptome using SpaDicer.

Cell reports methods
Single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) offer complementary insights into tissue heterogeneity. Each modality is characterized by inherent trade-offs: scRNA-seq offers high resolution but lacks spatial context, while S... read more 

An Artificial Intelligence Model for the Automatic Classification of the Cervical Vertebral Maturation Stages.

Dento maxillo facial radiology
OBJECTIVE: To develop an artificial intelligence (AI) model for automatic classification of cervical vertebral maturation (CVM) stages on lateral cephalometric radiographs (LCR). MATERIALS AND METHODS: Overall, 1140 LCRs were labeled and classified a... read more 

Frailty and Fitness in Older Adults With Acute Myeloid Leukemia: From Chronological Age to Multiparametric Assessment.

European journal of haematology
Acute Myeloid Leukemia predominantly affects older adults, who often present with comorbidities, functional impairment, and frailty, limiting eligibility for intensive chemotherapy or allogeneic transplantation. Historically, treatment options were r... read more 

Discriminating Relapsing-Remitting From Progressive Multiple Sclerosis Using Multidimensional Speech Biomarkers: An Independent Cohort Validation Study.

Journal of voice : official journal of the Voice Foundation
BACKGROUND/OBJECTIVE: Differentiating relapsing-remitting from progressive multiple sclerosis (MS) remains a clinical challenge, often requiring complex or invasive biomarkers. This study aimed to develop a machine learning model using acoustic speec... read more 

Prediction and Clinical Application of Central Lymph Node Metastasis in Papillary Thyroid Carcinoma Based on Multi-modal Ultrasound Feature Fusion: A Multi-center Study.

Ultrasound in medicine & biology
OBJECTIVE: To develop and validate a deep learning model integrating multi-modal ultrasound information from B-mode ultrasound (BMUS) and strain elastography (SE) for accurate preoperative prediction of central lymph node metastasis (CLNM) in patient... read more 

A U-Net-based multimodal deep learning model for high-precision blood glucose prediction using non-invasive physiological data.

Computer methods in biomechanics and biomedical engineering
This study proposes a novel U-Net-based convolutional neural network for blood glucose prediction by integrating historical continuous glucose monitoring data with non-invasive physiological parameters. The model achieved robust performance using the... read more 

Measuring multi-site pulse transit time with an AI-enabled mmWave radar.

Nature communications
Pulse Transit Time (PTT) is a measure of arterial stiffness and a physiological marker associated with cardiovascular function, with an inverse relationship to diastolic blood pressure (DBP). We present an AI-enabled mmWave system for contactless mul... read more 

Explainable machine learning-guided integrated multiomics analysis reveals macrophage-driven immune suppression in breast cancer.

Nature communications
Despite thorough characterizations of cellular compositions within the breast tumor microenvironment (TME), their implications for disease progression and patient prognosis remain poorly understood. Unraveling these effects is vital for identifying p... read more 

Machine learning model-guided selective use of temporary diverting ileostomy in rectal cancer surgery: a randomized controlled trial.

Nature communications
The appropriate use of temporary diverting ileostomy (TDI) in rectal cancer surgery lacks standardized criteria. A randomized controlled trial was performed to evaluate whether the Risk-Guided Temporary Ileostomy Decision (RTID) system, a machine lea... read more