Artificial Intelligence Medical Compendium

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

Showing 681 to 690 of 213,137 articles

Deep cross-modal representation fusion learning for enhanced drug target affinity prediction.

Analytical biochemistry
Prediction of Drug Target Affinity (DTA) is essential for accelerating computational drug discovery and reducing experimental costs. However, traditional experimental approaches for DTA estimation are resource-intensive and are further challenged by ... read more 

Academics' Experiences and Perceptions of ChatGPT in Nutrition and Dietetics Education: A Qualitative Study.

The Journal of nutrition
BACKGROUND: Artificial intelligence (AI) tools such as ChatGPT are increasingly influencing health sciences education, prompting renewed attention to their pedagogical, ethical, and professional implications. OBJECTIVES: This qualitative study explor... read more 

Who is at high risk of poor diet quality? A precision public health nutrition approach using machine learning.

The Journal of nutrition
BACKGROUND: Suboptimal diet quality contributes to poor health. Numerous factors at all levels of the socioecological model intersect to influence individuals' diet quality. A precision public health nutrition framework can be used to understand how ... read more 

An Attention-Based Transformer Algorithm Integrated with YOLO Framework for Lesion Localization and Detection Diabetic Retinopathy.

Photodiagnosis and photodynamic therapy
Diabetic Retinopathy (DR) is one of the major causes of vision loss among diabetic patients across the globe, and it is a major challenge to the public health. It is important to detect the retinal abnormalities early to avoid the progression of the ... read more 

Precision forensic toxicology: Leveraging Toxicogenomics, multi-omics, and artificial intelligence for next-generation poisoning investigations.

Clinica chimica acta; international journal of clinical chemistry
For much of its history, forensic toxicology was built on a core analytical question: what poison or drug is present, and at what concentration? That question still matters, but modern casework increasingly shows that it is no longer sufficient on it... read more 

Cardiopulmonary point-of-care ultrasound for critical care.

Clinical medicine (London, England)
Point-of-care ultrasound (POCUS) has emerged as an essential bedside tool for the rapid assessment and management of critically ill patients. This review outlines the evolution of POCUS from a focused, rule-in/rule-out modality to an advanced, integr... read more 

Hyperparameter-transfer learning framework for methane prediction in data-limited full-scale anaerobic digesters.

Bioresource technology
This study developed a full-scale transfer-learning workflow integrated with an anaerobic-digestion-specific feature engineering pipeline for methane prediction in newly commissioned anaerobic digesters with limited monitoring data. The performance o... read more 

Three-Level cascading defense mechanism of silicon-based materials for mitigating heavy metals stress in crops.

Bioresource technology
Silicon-based materials (SBMs) are widely used to alleviate heavy metals (HMs) stress in crops, yet their integrated effects on soil-plants systems remain insufficiently understood owing to the complex interactions among soil properties, amendment ch... read more 

A novel fever prevalence indicator for early warning of acute respiratory infections using wastewater-based epidemiology and machine learning.

Environmental research
The rapid spread of acute respiratory infections (ARIs) poses a major challenge to global public health, yet current surveillance systems relying on sentinel hospitals and laboratory testing often lack timeliness and precision. In this study, we pres... read more 

Temporal Germination of Lettuce under Salinity and Nano-Silicon: A High-Throughput Phenomics Framework with Deep Learning.

Plant science : an international journal of experimental plant biology
Accurate high-throughput evaluation of seed germination under abiotic stress is often hindered by subjective manual scoring and insufficient temporal resolution. This study introduces an integrated phenomics framework leveraging an explainable deep l... read more