Artificial Intelligence Medical Compendium

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

Showing 22,731 to 22,740 of 216,842 articles

Evidential reasoning-enabled deep learning for reliable treatment outcome prediction in cancer therapy.

Artificial intelligence in medicine
Treatment outcome prediction plays an important role in realizing personalized cancer therapy. In triple-negative breast cancer (TNBC), neoadjuvant chemotherapy (NAC) is widely used to downstage tumors and improve surgical outcomes. In head and neck ... read more 

Exploring the role of artificial intelligence in anterior cruciate ligament injuries in high-performing & elite athletes.

The Knee
Anterior cruciate ligament (ACL) injuries dramatically impact athletes and sporting organisations. Artificial Intelligence (AI) driven systems, such as those leveraging machine learning (ML) algorithms into wearable devices are showing promise in ort... read more 

A two-step temporal data augmentation and supervised learning framework for predicting autism diagnosis at 36 months in patients with tuberous sclerosis complex.

Computers in biology and medicine
BACKGROUND: Autism spectrum disorder (ASD) affects approximately 25-50% of children with tuberous sclerosis complex (TSC). Early identification of ASD in this high-risk population is crucial for timely intervention but remains challenging due to the ... read more 

Predicting postoperative atrial fibrillation after cardiac surgery using machine learning.

Journal of clinical anesthesia
BACKGROUND: Postoperative atrial fibrillation (POAF) is a frequent complication after cardiac surgery that is associated with increased morbidity. However, existing risk scores have limited accuracy, highlighting the need for more effective predictio... read more 

Deep learning-driven detection of municipal sludge moisture content based on feature images of compressed slices.

Journal of environmental management
Traditional sludge moisture content detection methods suffer from response lag and insufficient accuracy within the critical dewatering range of 70%-85%. To address these limitations, this study proposes a novel rapid detection strategy that integrat... read more 

Uncovering spatial clustering and heterogeneity of energy consumption drivers of wastewater treatment plants in China: A shap-lisa integrated approach.

Journal of environmental management
Under China's "dual carbon" targets and the forthcoming 15th Five-Year Plan, improving energy efficiency in wastewater treatment plants (WWTPs) is a pressing environmental management challenge, yet the spatial heterogeneity of energy consumption rema... read more 

A Machine-Learning Approach to Predicting Adenoma Detection and Surveillance Impact of Deeper Sections in Colorectal Polypectomy Specimens.

Archives of pathology & laboratory medicine
CONTEXT.—: In the routine practice of pathology, cutting deeper levels into paraffin blocks of colorectal polypectomy specimens that do not show a lesion on initial hematoxylin-eosin sections is common. However, this practice lacks standardization, a... read more 

Examination of Pathologist-Artificial Intelligence Interactions and Their Impact on Pathologist Accuracy Using Artificial Intelligence-Assisted Scoring of Immunohistochemistry for Human Epidermal Growth Factor Receptor 2.

Archives of pathology & laboratory medicine
CONTEXT.—: Advances in computer vision have fueled the development of artificial intelligence (AI)-based algorithms for pathology. AI-assisted approaches may streamline the diagnostic workflow and reduce variability. OBJECTIVE.—: To assess the impact... read more 

Diuretic Ultrasound Evaluation of Surgical Necessity in Pediatric Ureteropelvic Junction Obstruction.

Academic radiology
RATIONALE AND OBJECTIVES: This study aimed to develop an interpretable machine learning (ML) model using diuretic ultrasonography to predict the necessity for surgical intervention in children aged 1 month to 18 years with ureteropelvic junction obst... read more