Artificial Intelligence Medical Compendium

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

Showing 13,771 to 13,780 of 211,462 articles

U-CBAMNet: an attention-guided deep learning model for accurate and explainable prediction of HER2 expression from breast ultrasound cine videos.

BMC medical imaging
BACKGROUND: Accurate assessment of human epidermal growth factor receptor 2 (HER2) expression is essential for guiding targeted therapy in breast cancer. Conventional immunohistochemistry and fluorescence in situ hybridization remain the diagnostic s... read more 

Machine learning prediction of surgical approach and clinical heterogeneity in cervical spondylotic myelopathy.

BMC musculoskeletal disorders
BACKGROUND: Preoperative planning of the surgical approach for cervical spondylotic myelopathy (CSM) is central to precision medicine. This study used supervised machine learning (SML) to build a predictive model for surgical approach selection in CS... read more 

DeepSeek vs ChatGPT vs Claude: benchmarking large language models for clinical diagnosis using a novel ICD-10-CM-based evaluation framework.

BMC medical informatics and decision making
BACKGROUND: Large language models have shown potential for supporting clinical reasoning, but their performance in open-ended diagnostic tasks remains insufficiently evaluated using clinically grounded and reproducible criteria. Many prior studies ha... read more 

Deep learning multi-omics integration identifies new molecular subtypes of lung cancer.

BioData mining
Cancer is a heterogeneous disease, with numerous subtypes differing in molecular profiles, risk factors, clinical outcomes, and tumor locations. Lung cancer, the third most diagnosed cancer in the United States, is driven by a complex combination of ... read more 

Integrating ChatGPT into nursing education: a randomized trial exploring knowledge, retention, and student perspectives on endotracheal suctioning.

BMC medical education
AIM: This study aimed to evaluate the preliminary effectiveness of a ChatGPT-integrated educational session on nursing students' knowledge acquisition and retention regarding endotracheal suctioning, and to explore their perspectives and learning exp... read more 

Single-cell N4-acetylcytidine regulatory landscape identifies ARIH1 as a ferroptosis-suppressive oncogenic driver in lung adenocarcinoma.

Respiratory research
BACKGROUND: N4-acetylcytidine (ac4C) is an emerging post-transcriptional RNA modification implicated in cancer biology, yet its cellular distribution, prognostic value, and functional relevance in lung adenocarcinoma (LUAD) remain insufficiently char... read more 

Predicting future dementia from routine clinical MRI and linked healthcare data.

Alzheimer's research & therapy
BACKGROUND: Early identification of individuals at risk of dementia is essential for preventive care and timely enrolment into disease-modifying interventions. However, most existing prediction approaches rely on invasive, costly, or research-only bi... read more 

Automated ultrasound with AI for osteophyte grading in hand osteoarthritis: comparison with expert rheumatologist assessment.

BMC rheumatology
BACKGROUND: The objective of this study was to characterise the agreement of the CE-certified automated robotic ultrasound system ARTHUR v.2.0, combined with the AI model DIANA v.2.0, for grading osteophytes in hand osteoarthritis (OA), using expert ... read more 

Identification and validation of biomarkers associated with mitotic catastrophe in high-altitude hypoxia.

Hereditas
BACKGROUND: High-altitude hypoxia (HAH) can cause adverse reactions, such as tinnitus and barotrauma, but the role of mitotic catastrophe (MC) in HAH remains unreported. This study investigated MC-associated biomarkers in HAH. METHODS: HAH-related da... read more 

Targeting metabolic dysregulation in postmenopausal breast cancer: Synergistic effects of nutrition-based interventions and exercise on molecular and cellular pathways.

Cancer cell international
Postmenopausal females diagnosed with breast cancer who are undergoing aromatase inhibitor (AI) therapy often exhibit metabolic disturbances, which may manifest as insulin resistance, dyslipidemia, increased adiposity, and an elevated risk of cardiov... read more