Artificial Intelligence Medical Compendium

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

Showing 71,811 to 71,820 of 234,892 articles

Deep learning-assisted self-cleaning cellulose colorimetric sensor array for monitoring black tea withering dynamics.

Food chemistry
The withering process is a critical stage in developing the aroma profile of black tea. In this study, we presented an eco-friendly cellulose film-based colorimetric sensor array (CSA) for detecting volatile organic compounds (VOCs) and assessing wit... read more 

Antioxidant bioactivity of sunflower protein hydrolysates in Caco-2 cells and in silico structural properties.

Food chemistry
Sunflower protein hydrolysate (SPH), with 95 % reduced phenolic content, was studied for its protective effects against oxidative stress in intestinal cells (Caco-2). Produced via alcalase hydrolysis, SPH's molecular weight, amino acid composition, a... read more 

GAN-based novel feature selection approach with hybrid deep learning for heartbeat classification from ECG signal.

Computational biology and chemistry
Heart arrhythmias are one of the most important categories of cardiovascular illness. A heartbeat that is abnormal like too early, too slow, too fast, or uneven is indicated as an arrhythmia. Though some cardiac arrhythmias are benign, others can be ... read more 

Machine learning approaches to predict drug resistance in tuberculosis.

Computational biology and chemistry
Tuberculosis (TB) remains a global health crisis, with 10.8 million cases and 1.25 million deaths in 2023. The rise of drug-resistant TB has complicated treatment, while traditional diagnostic methods face limitations in speed, cost, and accuracy. Th... read more 

Counterfactual generation with joint causal representation for generative adversarial networks.

Neural networks : the official journal of the International Neural Network Society
The black-box nature of Generative Adversarial Networks (GANs) hinders the controllable generation of images, particularly in semantic editing that involves making changes to multiple attributes. To address this problem, we propose a Counterfactual G... read more 

The Performance of Artificial Intelligence in Providing Real-Time Aid in Emergency Dental Trauma: A Clinical Validation Study.

Dental traumatology : official publication of International Association for Dental Traumatology
BACKGROUND: Searching online for dental emergency treatment as a non-expert can lead to unreliable guidance. We tested the publicly available first multimodal large-language model, ChatGPT-4o, prospectively with real emergency-department avulsion cas... read more 

MISSLE in melanoma: Promise, limitations and the need for broader validation.

Journal of the European Academy of Dermatology and Venereology : JEADV
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Application of Machine Learning in the Diagnosis and Prognosis of Mild Traumatic Brain Injury Using Diffusion Tensor Imaging: A Systematic Review.

Journal of magnetic resonance imaging : JMRI
BACKGROUND: Traumatic Brain Injury (TBI) is a global health concern, with mild TBI (mTBI) being the most common form. Despite its prevalence, accurately diagnosing mTBI remains a significant challenge. While advanced neuroimaging techniques like diff... read more 

Evaluating large language models in answering patient questions about eye removal surgeries.

Orbit (Amsterdam, Netherlands)
PURPOSE: To evaluate the performance of ChatGPT-4 and Gemini, two large language models (LLMs), in addressing frequently asked questions (FAQs) about eye removal surgeries. METHODS: A set of 24 FAQs related to enucleation and evisceration was identif... read more 

Artificial Intelligence for Postoperative Wound Monitoring: An Integrative Review of Digital Innovation and Clinical Feasibility.

The American surgeon
Artificial intelligence (AI) has transformative potential in postoperative wound care through precise, automated, and timely wound assessment, yet specific applications to surgical wounds remain relatively unexplored compared to chronic wound care. T... read more