Artificial Intelligence Medical Compendium

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

Showing 72,681 to 72,690 of 235,381 articles

Efficient artificial intelligence algorithms for on-site discrimination of Angelica sinensis.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Angelica sinensis, a valuable traditional Chinese medicine with high economic and medicinal value, is used medicinally in parts such as the body, head, and tail. However, there are significant differences in the chemical composition and pharmacologic... read more 

Fixed/prescribed-time synchronization of state-dependent switching neural networks with stochastic disturbance and impulsive effects.

Neural networks : the official journal of the International Neural Network Society
This paper investigates the fixed-time synchronization (FXTS) and prescribed-time synchronization (PSTS) problems of state-dependent switching neural networks (SDSNNs) with stochastic disturbances and impulsive effects. By leveraging the average impu... read more 

Low-Burden Detection of Clinical Worsening in Body Dysmorphic Disorder Using Smartphone Sensor and Demographic Data.

Behavior therapy
Body dysmorphic disorder (BDD) is characterized by distressing preoccupations with perceived appearance flaws, leading to functional impairment and suicidal ideation (SI). Traditional approaches for monitoring clinical deterioration in BDD include se... read more 

Salt-inducible kinase 1 is a key gene in suppressing EVD68-induced asthma by modulating antiviral immunity.

Genes & diseases
Asthma is a complex inflammatory disease of the airways, affecting over 300 million individuals globally. Infection with enterovirus D68 (EV-D68) has been identified as a risk factor for asthma. However, the biological mechanisms of EV-D68-related as... read more 

Hybrid aggregation strategy with double inverted residual blocks for lightweight salient object detection.

Neural networks : the official journal of the International Neural Network Society
Lightweight salient object detection (SOD) is widely used in various downstream applications due to its low resource requirements and fast inference speed. The use of hybrid encoders offers the potential to achieve a better balance between efficiency... read more 

Weakly supervised multi-modal imitation learning from incompletely labeled demonstrations.

Neural networks : the official journal of the International Neural Network Society
Multi-modal imitation learning enables the agent to learn demonstrations of multiple modes at the same time. However, as expert demonstrations in practice tend to have incomplete labels for behavior modes, most methods are inefficient. To address thi... read more 

Early prediction of orthodontic gingival enlargement using S100A4: a biomarker-based risk stratification model.

Odontology
Orthodontic-induced gingival enlargement (OIGE) affects approximately 15-30% of patients undergoing orthodontic treatment and remains largely unpredictable, often relying on subjective clinical assessments made after irreversible tissue changes have ... read more 

Advancing basal cell carcinoma diagnosis: Insights and gaps in line-field confocal optical coherence tomography.

Journal of the European Academy of Dermatology and Venereology : JEADV
read more 

Student Perceptions of a Custom Artificial Intelligence Clinical Case Companion.

The journal of physician assistant education : the official journal of the Physician Assistant Education Association
INTRODUCTION: Artificial intelligence tools show promise in supplementing traditional physician assistant education, particularly in developing clinical reasoning skills. However, limited research exists on custom Generative Pretrained Transformer (G... read more 

Oral bioavailability property prediction based on task similarity transfer learning.

Molecular diversity
Drug absorption significantly influences pharmacokinetics. Accurately predicting human oral bioavailability (HOB) is essential for optimizing drug candidates and improving clinical success rates. The traditional method based on experiment is a common... read more