Artificial Intelligence Medical Compendium

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

Showing 34,161 to 34,170 of 221,510 articles

Blockchain and bio-inspired deep learning for energy-efficient EV-to-grid optimization.

Scientific reports
Electric Vehicle-to-Grid (V2G) arrangements stand at the center of bidirectional energy exchange in modern smart grids and are, however, challenged by real-time decision-making, load balancing, and the security of transaction validation. This paper h... read more 

Video quality prediction and classification using XGBoost under variable encoding and network conditions.

Scientific reports
This study presents a machine learning-based framework for video quality assessment (VQA). This framework enables the mapping of objective metric outputs, such as Structural Similarity Index Measure (SSIM) and Video Multimethod Assessment Fusion (VMA... read more 

Towards a physics informed digital twin to predict cerebral blood flow and cerebral vascular regulation.

NPJ digital medicine
Cerebral blood flow is essential for brain function and is governed by cerebral perfusion pressure and physiological mechanisms collectively referred to as cerebral vascular regulation (CVR). Direct measurement of cerebral blood flow and individual C... read more 

Evaluating a digital serious game for learning medical terminology in a randomized controlled trial.

NPJ digital medicine
Healthcare students often struggle with learning medical terminology due to its complexity and abstract nature. This randomized controlled trial assessed the effectiveness of MedQuiz, a digital serious game, in enhancing immediate terminology acquisi... read more 

An ethics-informed computable audit framework for monitoring misdiagnosis risk in AI-assisted diagnosis.

Scientific reports
Diagnostic AI can misclassify under distribution shift and subgroup imbalance; governance signals are rarely computable at deploy time. We target deployed diagnostic decision-support systems that perform binary classification and output a continuous ... read more 

AI Models for Surgical Decision Support in Spontaneous Intracerebral Hemorrhage: A Systematic Review in Relation to Trials and Guidelines.

Neurocritical care
Artificial intelligence (AI) applications for spontaneous intracerebral hemorrhage (ICH) are rapidly expanding, particularly in perioperative imaging analysis and surgical decision support. Because most predictive AI models are developed using indepe... read more 

Lipid Metabolism and Oxidative Stress in Uterine Corpus Endometrial Carcinoma: Prognostic and Immune Landscape Analysis.

Asia-Pacific journal of clinical oncology
OBJECTIVE: Uterine corpus endometrial carcinoma (UCEC) is a common gynecologic malignancy characterized by metabolic reprogramming and immune dysregulation. This study aimed to investigate the prognostic and diagnostic value of lipid metabolism- and ... read more 

Investigation of multimodal deep learning models for predicting ovarian tumor malignancy based on ultrasound images and clinical information - a comprehensive comparative study against readers and O-RADS.

BMC medical imaging
BACKGROUND: As the second deadly cancer affecting women globally, precise and timely classification of ovarian tumors plays an instrumental role in improving the rate of curing and reducing the rate of mortality. This study was set out to comprehensi... read more