Artificial Intelligence Medical Compendium

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

Showing 20,641 to 20,650 of 216,088 articles

Application of deep learning for surgical decision support during single-incision laparoscopic cholecystectomy.

Surgical endoscopy
OBJECTIVE: This study aimed to develop an Artificial intelligence (AI) model based on Mask2Former to identify safe and hazard zones during Single-incision laparoscopic cholecystectomy (SILC). METHODS: 186 videos of SILC were included in the study, am... read more 

Surgeons' perceptions of artificial intelligence (AI) for gaze guidance in laparoscopic cholecystectomy.

Surgical endoscopy
BACKGROUND: Artificial intelligence (AI) tools offer new opportunities to support human perception and provide gaze guidance in surgery. However, there remains a need to better understand surgeons' perceptions of these tools and to identify desired f... read more 

Residual-aware lightweight deep learning framework for high-fidelity intrusion detection in UAV swarm networks.

Scientific reports
Unmanned Aerial Vehicle swarm networks are increasingly deployed in critical missions such as surveillance, disaster management, and military coordination, where secure communication is paramount. However, their decentralized topology and dynamic mob... read more 

[Artificial intelligence in medicine : Foundations, potential, structural limits and current developments].

Innere Medizin (Heidelberg, Germany)
Artificial intelligence (AI) is widely regarded as a key technology for the further development of medical care. Its performance, however, depends less on algorithmic innovations than on the quality, availability and interoperability of medical data.... read more 

Single-cell morphodynamics predict cell fate decisions during mucociliary epithelial differentiation.

Molecular systems biology
Cell state transitions underlie the emergence of diverse cell types and are traditionally defined by changes in gene expression. Yet these transitions also involve coordinated shifts in cell morphology and behavior, which remain poorly characterized ... read more 

Abstraction-dependent diagnostic performance of a multimodal foundation model in oral epithelial dysplasia.

Odontology
The reliability of general-purpose multimodal large language models (LLMs) in oral histopathologic image interpretation remains incompletely characterized. To evaluate abstraction-level diagnostic competence, grading reliability, and structural error... read more 

Automated Detection of Patent Ductus Arteriosus in Pediatric Patients Using Doppler Ultrasonography Videos Based on a Transformer Model.

Journal of imaging informatics in medicine
Patent ductus arteriosus (PDA) is a common congenital heart defect that requires timely and accurate detection to guide clinical management. Although deep learning has shown considerable promise in medical imaging, its application to echocardiographi... read more 

Differential Attention Feature Aggregator (DAFE) for Advanced Melanoma Detection.

Journal of imaging informatics in medicine
Melanoma is a highly aggressive form of skin cancer with a significant mortality rate. Over the past two decades, its incidence has been on the rise and is projected to increase further in the future. Early treatment has a higher survival rate. Curre... read more 

An Intensity-Based Cropping Approach for Fast, Interpretable, and Robust Localization of the Knee Joint in Radiographs.

Journal of imaging informatics in medicine
Effective image preprocessing is critical for ensuring the robustness and generalizability of downstream models by preventing shortcut learning on spurious features. Knee joint localization is essential for reliable pathology assessment by automatica... read more