AI Medical Compendium

Pain detection is an important agent for good pain management, especially for patients who are unable to express pain verbally as infants. Recently, professionals have depended on traditional assessment tools to detect pain but these tools have many ... read more

Integration of detection and tracking networks for automated rib multiplanar reconstruction: a feasibility study for fracture diagnosis.

European radiology experimental Mar 17, 2026

OBJECTIVE: Rib fractures are common yet time-consuming to diagnose. This study explores automation via multiplanar reconstruction and intelligent detection algorithms to accelerate and optimize clinical assessment. MATERIALS AND METHODS: A retrospect... read more

ASO Visual Abstract: Machine Learning for Classification in Lung Cancer Using Routine Clinical and Laboratory Data.

Annals of surgical oncology Mar 17, 2026

Diagnostic performance and confidence of an optimized deep-learning algorithm for the detection of intracranial hemorrhages.

Insights into imaging Mar 17, 2026

OBJECTIVES: To evaluate the performance of an optimized deep-learning-based algorithm (AI) for the detection and subtyping of intracranial hemorrhage (ICH) in non-contrast cranial CT (cCT). MATERIALS AND METHODS: CCTs performed between 2020 and 2022 ... read more

Artificial Intelligence Medical Compendium

From structure to design: experimental and AI-driven approaches in receptor-binding protein engineering for reprogramming phage host range.

A computational model for predicting shock in patients at risk of urosepsis after urolithiasis surgery.

Integrated approaches for lameness control in free-stall dairy systems under heat stress and water scarcity.

Influencing factors and predictive model for in-hospital complications in patients with spontaneous intracerebral hemorrhage: A single-center retrospective study.

Evaluating the feasibility of intraoral scanning technology for removable partial dentures: ai-assisted measurement analysis and clinical investigation.

Comparison of deep and conventional machine learning methods in predicting joint moments in patients with cerebral palsy.

Intelligent system for infants' pain detection: pain intensity estimation using deep learning approach.

Integration of detection and tracking networks for automated rib multiplanar reconstruction: a feasibility study for fracture diagnosis.

ASO Visual Abstract: Machine Learning for Classification in Lung Cancer Using Routine Clinical and Laboratory Data.

Diagnostic performance and confidence of an optimized deep-learning algorithm for the detection of intracranial hemorrhages.

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Artificial Intelligence Medical Compendium

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