Artificial Intelligence Medical Compendium

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

Showing 13,191 to 13,200 of 210,785 articles

Beyond the Model: Practical Insights from Monitoring Predictive Models Across Diverse Clinical Workflows.

Applied clinical informatics
OBJECTIVES: To support the artificial intelligence (AI) lifecycle in an integrated academic health system, we implemented a modular monitoring system to oversee electronic health record (EHR) vendor-provided clinical predictive models. This case stud... read more 

Few-Shot Lung Cancer Classification via Electronic Nose Using Large Language Models: A Multicentre Prospective Study.

Respirology (Carlton, Vic.)
BACKGROUND AND OBJECTIVE: Electronic Nose (eNose) breathprints are promising non-invasive lung cancer diagnostic tools, but cross-site validation and adaptation remain barriers to clinical applications. It remains unknown whether a natural language p... read more 

Meta-Learning as a Promising Strategy for Lipid Nanoparticle Optimization and Ionizable Lipid Discovery.

Nano letters
The rapid growth of lipid nanoparticle (LNP)-based RNA therapeutics demands predictive tools to accelerate formulation and lipid design, yet development remains limited by complex delivery mechanisms and scarce high-quality data. We investigated few-... read more 

Circadian Deregulation in Multiple Myeloma: BMAL1/CLOCK Expression Patterns and Diagnostic Performance.

International journal of laboratory hematology
BACKGROUND: Circadian clock disruption has emerged as a relevant axis in cancer; however, the expression patterns and diagnostic relevance of BMAL1 and CLOCK in multiple myeloma (MM) remain insufficiently defined. METHODS: BMAL1 and CLOCK mRNA expres... read more 

Enhancing respiratory virus surveillance among hospitalised children: a machine learning-based predictive model.

BMJ paediatrics open
BACKGROUND: Viral respiratory tract infections (vRTIs) are a leading cause of paediatric hospitalisation and healthcare utilisation. Existing syndromic surveillance tools, including the WHO Severe Acute Respiratory Infection definition, demonstrate l... read more 

Blocking MOXD1-derived ACOX1 peroxisome trafficking suppresses metabolic dysfunction-associated steatohepatitis.

Gut
BACKGROUND: Metabolic dysfunction-associated steatohepatitis (MASH) has become a major global health burden yet effective pharmacological treatments remain scarce. Lipotoxicity is one of the central drivers of MASH, but the molecular regulators that ... read more 

AJNR Study-Specific Guidelines for AI in Medical Imaging: Bridging Gaps in Reference Standard and Clinical Evaluation.

AJNR. American journal of neuroradiology
The rapid proliferation of artificial intelligence (AI) applications in neuroradiology can lead to heterogeneous study design and reporting that impede reproducibility and clinical translation. To support authors submitting AI imaging research to AJN... read more 

DBSCAN Applied to EHRs Data from Patients with Glioblastoma Finds Clusters Based on Cytosolic Hsp70 Protein, Sex, and Brain Subventricular Zone.

Studies in health technology and informatics
Glioblastoma is an aggressive brain cancer that kills approximately one hundred thousand people worldwide every year. Unfortunately, treatment and therapy for patients with this disease are complicated and have limited efficacy in improving individua... read more 

Prediction of Postoperative Complications Following Mandibular Fractures Using Machine Learning.

Studies in health technology and informatics
Postoperative complications in oral and maxillofacial surgery (OMFS), pose a significant challenge to patient recovery. Accurate prediction of such complications could enable earlier interventions and improve clinical outcomes. Advances in machine le... read more 

Estimating Transepidermal Water Loss from Smartphone Facial Images Using Self-Supervised Features and a Mixture Density Network.

Studies in health technology and informatics
Skin conditions fluctuate daily, and the subtle changes are difficult to detect. Transepidermal water loss (TEWL), a key indicator of skin barrier function, is effective for monitoring these changes; however, its measurement requires specialized and ... read more