Artificial Intelligence Medical Compendium

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

Showing 3,491 to 3,500 of 203,255 articles

Integrating artificial intelligence into drug delivery systems: Formulation development and current challenges.

European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V
Artificial intelligence (AI) is increasingly being explored as a supportive tool to address persistent challenges in drug delivery research, particularly those associated with formulation complexity, optimization efficiency, and controlled drug relea... read more 

Chest Radiograph-Derived Age Acceleration as an Early Marker of Pulmonary Dysfunction in Middle-Aged Asians.

Chest
BACKGROUND: Deep learning-derived, chest radiographic (CXR) age may capture subclinical structural changes associated with spirometric impairment. RESEARCH QUESTION: Is CXR-based accelerated aging associated with the prevalence and incidence of prese... read more 

Update on the structure-Function relationship in glaucoma.

Survey of ophthalmology
The relationship between structural and functional damage in glaucoma, the structure-function relationship, forms the cornerstone of disease assessment, monitoring, and prognosis. We provide an updated synthesis of current knowledge on the structure-... read more 

Scientific publishing in the era of artificial intelligence: Integrity and responsibility.

Revista portuguesa de cardiologia : orgao oficial da Sociedade Portuguesa de Cardiologia = Portuguese journal of cardiology : an official journal of the Portuguese Society of Cardiology
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The impact of scan time on dynamic [Formula: see text]-FAPI-04 total-body PET parametric imaging generated by deep learning models.

EJNMMI physics
PURPOSE: To date, some studies have employed deep learning techniques to directly generate dynamic positron emission tomography (PET) parametric images from static PET. Compared with traditional methods, this approach requires only a single PET/compu... read more 

Limits of Artificial Intelligence Models for Skin Cancer Diagnosis in Realistic Settings.

JAMA dermatology
IMPORTANCE: Artificial intelligence (AI) systems for skin cancer detection perform well in controlled settings but frequently underperform in everyday clinical practice, raising critical questions about their readiness for deployment. OBJECTIVE: To c... read more 

Ferroelectric-Polarization-Modulated 2D Floating-Gate Memory Enabling a 106 On/Off Ratio under ±1 V Gate-Voltage Sweep.

Nano letters
Floating-gate transistors based on 2D materials have attracted great interest owing to their superior memory characteristics and high reliability. However, most reported devices still suffer from high operating voltages, limited multifunctionality, e... read more 

Single-cell sequencing in systemic lupus erythematosus.

Lupus
BackgroundSystemic lupus erythematosus (SLE) is a complex autoimmune disease characterized by heterogeneous clinical manifestations and multi-organ involvement. Current understanding of SLE pathogenesis remains limited, particularly due to the cellul... read more 

Comparative effectiveness and cost-effectiveness of an artificial intelligence workflow for small renal mass diagnosis on computed tomography.

Urology practice
INTRODUCTION: Small renal masses are increasingly detected on imaging, but their accurate classification as benign, indolent, or aggressive remains challenging. Such classification can aid further diagnostic work up, improving patient outcomes and sa... read more 

Biomarker-driven and AI-assisted nanomedicine for breast cancer: advancing precision drug delivery from bench to bedside.

Expert opinion on drug delivery
INTRODUCTION: Breast cancer remains the most prevalent malignancy among women worldwide, with its pronounced molecular heterogeneity demanding therapeutic strategies that transcend conventional systemic chemotherapy toward tumor-selective, molecularl... read more