Artificial Intelligence Medical Compendium

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

Showing 22,211 to 22,220 of 216,627 articles

Ai-generated personalized informed consent for elective spinal surgery: a comparative study using retrieval-augmented generation.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
BACKGROUND: Informed consent (IC) documents in spine surgery frequently lack procedure-specific risk data, quantitative complication rates, and discussion of alternative treatments. These deficiencies impair patient comprehension and constitute a lea... read more 

Knowledge and Awareness of Performance Metrics in Dental Image Analysis With Artificial Intelligence: A Cross-Sectional Survey of Researchers and Clinicians.

International dental journal
INTRODUCTION AND AIM: Appropriate performance metrics are essential for evaluating machine learning (ML) algorithm performance in dental image analysis. A broad variety of performance metrics are used in dental artificial intelligence (AI) research w... read more 

Enhancing precision nitrogen management in corn through integration of soil properties and remote sensing: A mechanistic approach.

The Science of the total environment
Sustainable intensification of agriculture requires optimizing nitrogen (N) use efficiency while maintaining crop productivity. However, the complex interactions between soil properties, N management, and crop response limit our ability to develop pr... read more 

The negative sigmoid loss for controlling false positive rate in osteolytic lesion segmentation.

Computers in biology and medicine
Multiple Myeloma (MM) is a malignancy that is commonly associated with the development of osteolytic lesions. To support MM diagnosis, low-dose Computed Tomography (CT) is commonly used for lesion localization, but manually evaluating CT scans can be... read more 

Experiences and challenges in implant based breast reconstruction decision making among young breast cancer patients: A qualitative study.

Acta psychologica
OBJECTIVES: To explore the in-depth experiences, psychological conflicts, and coping strategies of young breast cancer patients regarding the Implant-Based Breast Reconstruction (IBBR) decision-making process. METHODS: This study used a descriptive d... read more 

Disentangled generative uncertainty-aware multi-modal diffusion segmentation of medical images.

Medical image analysis
The full clinical integration of deep learning models for medical image segmentation is significantly impeded by their inherent lack of transparency and explicit uncertainty quantification (UQ). In high-stakes medical contexts, clinicians demand not ... read more 

Deciphering spatial-temporal mechanisms of PD-1 blockade resistance via biologically informed machine learning.

International immunopharmacology
Immune checkpoint inhibitors (ICIs), especially PD-1/PD-L1 blockade, have transformed cancer therapy; yet objective response rates to anti-PD-(L)1 monotherapy remain ∼20-30% and resistance is common. Meanwhile, multi-omics, spatial profiling, imaging... read more 

Classification of marine plastic debris using hyperspectral imaging and band selection: A patch-based and pixel-based fusion approach.

Marine pollution bulletin
Marine plastic pollution poses significant ecological, economic, and social challenges, requiring innovative monitoring and identification solutions to support effective mitigation and management strategies. Hyperspectral imaging and artificial intel... read more 

Boundary-aware dual-attention U-Net for multi-class oil spill segmentation in SAR imagery.

Marine pollution bulletin
Oil spills pose serious environmental risks, hence accurate and rapid detection is critical for marine monitoring. Synthetic Aperture Radar (SAR) imagery is commonly utilized for oil spill detection due to its all-weather, day-and-night imaging capac... read more 

Single-cell and spatial transcriptomic profiling of POU5F1 in Lung Adenocarcinoma: Dynamics, spatial niche, and prognosis via multi-algorithm ML.

Translational oncology
BACKGROUND: POU5F1 (OCT4), a core regulator of pluripotency, plays an important role in tumor stemness and immune microenvironment remodeling, yet its systematic function and mechanisms in lung adenocarcinoma (LUAD) remain incompletely elucidated. ME... read more