Artificial Intelligence Medical Compendium

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

Showing 50,611 to 50,620 of 225,062 articles

Chronic oil pollution in small ports: A review of the role and potential of AUVs.

Marine pollution bulletin
Chronic oil pollution in small ports are typically low-level, repeated, and long-lasting, making them difficult to monitor with conventional approaches. Autonomous Underwater Vehicles (AUVs) provide a mobile means of high-resolution in-situ observati... read more 

Personalized sepsis mortality prediction: An interpretable machine learning nomogram.

Clinics (Sao Paulo, Brazil)
PURPOSE: Sepsis remains a major cause of mortality in ICU patients, requiring accurate prognostic tools for optimal management. This study aimed to develop and validate an interpretable machine learning-based nomogram for predicting in-hospital morta... read more 

Agreement between digitally predicted and clinically verified occlusal contacts in computer-aided design and computer-aided manufacture (CAD-CAM) occlusal devices: A cross-sectional study.

The Journal of prosthetic dentistry
STATEMENT OF PROBLEM: The growing adoption of digital workflows and artificial intelligence (AI)-assisted design has revolutionized occlusal device fabrication, offering improved precision, efficiency, and reproducibility. However, the clinical relia... read more 

Deep learning-based object detection of dental implant systems in panoramic and periapical radiographs.

The Journal of prosthetic dentistry
STATEMENT OF PROBLEM: The manual identification of dental implant systems on radiographs is time-consuming, operator-dependent, and prone to diagnostic inaccuracies, particularly for patients where clinical documentation is lacking. The increasing va... read more 

Deep learning for histopathological diagnosis of esophageal squamous cell carcinoma in biopsies: A multicenter analysis.

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver
BACKGROUND: Esophageal squamous cell carcinoma (ESCC) is a major cause of cancer mortality in Asia, where histopathological diagnosis of endoscopic biopsy specimens remain challenging. METHODS: To address this challenge, we developed an AI-based ESCC... read more 

Development and external validation of a machine learning model for predicting in-hospital mortality in acute liver failure.

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver
BACKGROUND: Acute liver failure (ALF) is a rapidly progressive and life-threatening condition that requires accurate risk stratification. Existing prognostic tools have limited sensitivity and generalizability. This study aimed to develop and externa... read more 

HCFNet: A heterogeneous frequency bands coupling CNN for enhanced short-time fast response in motor imagery decoding.

Journal of neuroscience methods
BACKGROUND: Motor imagery signals encompass a broad range of frequency components, and frequency band decomposition can improve the precision of frequency-domain features, helping the model focus on task-relevant information. However, existing method... read more 

Sheep face identification using multi-model deep learning evaluation and ensemble learning.

Annals of anatomy = Anatomischer Anzeiger : official organ of the Anatomische Gesellschaft
BACKGROUND: The individual identification of sheep is critically important for herd management, health monitoring, and record accuracy. The limitations of traditional identification methods-such as ear tags, markings, and Radio Frequency Identificati... read more