Artificial Intelligence Medical Compendium

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

Showing 34,381 to 34,390 of 221,633 articles

Deep autoencoder for low dimensionality for high dimensional data in regression models and direct inverse analysis of models.

Analytical sciences : the international journal of the Japan Society for Analytical Chemistry
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Design of a green ammonia production process by machine learning.

Analytical sciences : the international journal of the Japan Society for Analytical Chemistry
Green ammonia is attracting attention as a way of realizing a decarbonized society. In this study, we designed a green ammonia production process under limited power supply. In conventional process optimization, candidates for the design variables ar... read more 

Cognitive health on the fingertips: Fine motor deficiencies for assessing the risk of mild cognitive impairment in the aging adults.

Neuropsychology
OBJECTIVE: Mild cognitive impairment (MCI) represents a critical prodromal stage associated with Alzheimer's disease and other age-related neurocognitive conditions in middle-old aging adults, yet research exploring its association with fine motor sk... read more 

An Interpretable, Thermodynamics-Based Deep Learning Framework for Predicting and Optimizing Drug Membrane Permeability.

Journal of medicinal chemistry
Cellular membranes serve as selective barriers, and membrane permeability is crucial for drug pharmacokinetics. While in vitro and in vivo methods exist, predicting and designing membrane permeability remains challenging. We developed a thermodynamic... read more 

AI-Enhanced Automatic Life Story Structuring for Reminiscence Therapy in Older Adults: Technical Feasibility Study.

JMIR aging
BACKGROUND: Storytelling interventions have demonstrated substantial potential in improving emotional well-being, cognitive function, and quality of life for older adults. However, its effectiveness is often limited by the challenges of processing di... read more 

A multi-modal data fusion and real-time monitoring on stroke risk prediction using federated learning.

PloS one
Predicting the risk of stroke is one of the critical problems in healthcare, which necessitates efficient solutions for providing accurate and prompt risk assessments while preserving data confidentiality. This work proposes a new framework using Fed... read more 

Attention and residual mechanism-based CNN architecture (ARC-Net) with enhanced fairness generalization for deepfake facial image detection.

PloS one
Deepfake (DF) content poses a major challenge to digital media authentication, that can mimic facial movements, creating realistic replicas that risk spreading misinformation and enabling harassment, as can be seen in Bangladesh. Previous studies app... read more 

Artificial Intelligence-Enabled Prediction of Reversible Versus Irreversible Chemotherapy-Induced Myocardial Injury: Toward Precision Cardio-Oncology.

Cardiology in review
Cancer therapy-related cardiac dysfunction remains a major cause of morbidity among cancer survivors and may interrupt life-saving oncologic therapy or lead to chronic heart failure. Conventional surveillance relies largely on serial assessment of le... read more