Artificial Intelligence Medical Compendium

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

Showing 8,231 to 8,240 of 207,819 articles

Toward equitable digital health: an integrated framework addressing exclusion, ethics, and implementation across healthcare systems.

International journal for equity in health
BACKGROUND: Digital health technologies are fundamentally reshaping healthcare delivery, access, and governance worldwide. While these innovations offer unprecedented opportunities to extend services, particularly in resource-constrained settings, ea... read more 

Why are rural hospitals closing in the U.S.? Predictors identified using explainable machine learning.

BMC health services research
OBJECTIVE: Rural hospital closures in the U.S. reduce access to essential healthcare services and worsen health and economic outcomes in rural communities. This study uses national longitudinal data and explainable machine learning (XML) to identify ... read more 

Explainable machine learning for the prediction of Alzheimer's disease-related cognitive impairment: a consensus feature selection approach.

BMC medical informatics and decision making
BACKGROUND: Early identification of Alzheimer's disease-related cognitive impairment remains challenging, and existing machine learning (ML) models often suffer from feature instability and limited interpretability. This study developed robust and ex... read more 

MSTM-Net: a two-stage prostate cancer segmentation network based on swin-transformer-mamba architecture.

BMC medical imaging
BACKGROUND: Magnetic resonance imaging (MRI) has become a core imaging modality for prostate cancer screening and diagnosis. Accurate and automatic segmentation of lesion regions is critical for subsequent staging assessment and treatment planning. M... read more 

Beyond prediction: explainable machine learning for ferritin estimation from complete blood count.

BMC medical informatics and decision making
BACKGROUND: Serum ferritin is a primary marker of body iron stores; however, its diagnostic utility is limited by cost and non-specific elevation during inflammatory states. This study aimed to develop and validate explainable machine learning (ML) m... read more 

The impact of an artificial intelligence (AI)-assisted education program on mental health, social support and quality of life in older individuals with head and neck cancer: study protocol of a randomized controlled trial.

BMC geriatrics
BACKGROUND: Head and neck cancer (HNC) is a common malignant tumor, and its treatment often leads to functional impairments in speech, swallowing, and appearance, severely affecting patients' quality of life. Older individuals with HNC, due to the co... read more 

A novel prognostic model based on MVIRGs identifies ANGPT2 as a key target driving the malignant progression of HCC.

Biological procedures online
BACKGROUND: Hepatocellular carcinoma (HCC) is a highly lethal malignancy with high recurrence and limited therapies. Microvascular invasion (MVI) is a critical prognostic factor, but its molecular mechanisms and precise predictive tools are lacking. ... read more 

RNA-centric approaches in amyotrophic lateral sclerosis: prospects for future therapeutics.

Expert opinion on therapeutic targets
INTRODUCTION: Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disorder characterized by profound clinical and molecular heterogeneity, which has substantially hindered the development of effective therapies. Significant advances in A... read more 

Clinical governance of artificial intelligence in internal medicine: a literature-informed five-pillar framework for complex care.

Internal and emergency medicine
Most artificial intelligence (AI) governance frameworks in healthcare address model development, reporting standards, or regulation in broad terms, but do not adequately translate these principles into the operational realities of internal medicine. ... read more 

Integrative multi-omics, machine learning, and experimental validation reveal that TPM1 suppresses M2 macrophage polarization and enhances chemosensitivity in acute myeloid leukemia.

Cell biology and toxicology
BACKGROUND: Acute myeloid leukemia (AML) remains a therapeutic challenge due to chemoresistance and immunosuppression. This study aimed to discover novel regulatory mechanisms in AML pathogenesis. METHODS: Integrative transcriptomic (GSE30029) and pr... read more