Artificial Intelligence Medical Compendium

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

Showing 66,071 to 66,080 of 232,257 articles

SMARTDock: A Toolkit for the Automated Development of Target-Specific Scoring Functions Using Bioactivity Data.

Journal of chemical information and modeling
Molecular docking has become an essential tool in the early stages of structure-based drug discovery, enabling rapid virtual screening of large compound libraries against biological targets. However, the accuracy of binder selection is often limited ... read more 

Deep Learning Integration in Optical Microscopy: Advancements and Applications.

Microscopy research and technique
Optical microscopy is a cornerstone imaging technique in biomedical research, enabling visualization of subcellular structures beyond the resolution limit of the human eye. However, conventional optical microscopy faces challenges such as optical abe... read more 

Deep Learning for Ultrasound-Based Auxiliary Diagnosis of Emergency Ascites.

Ultrasound in medicine & biology
OBJECTIVE: The Focused Assessment with Sonography for Trauma (FAST) enables rapid detection of free intraperitoneal fluid, facilitating timely management of internal hemorrhage. This study aims to develop a Transformer-based model for automated detec... read more 

Segmentation of Cemento-Osseous Dysplasias Using an Artificial Intelligence Algorithm.

International dental journal
INTRODUCTION AND AIMS: In recent years, artificial intelligence (AI) has emerged as a powerful tool in medical imaging and in the analysis of complex bone pathologies such as cemento-osseous dysplasias. The aim of this study is to perform segmentatio... read more 

Reliable leukemia detection via transfer-enhanced Bayesian CNNs.

Computers in biology and medicine
Accurate and early detection of Acute Lymphoblastic Leukemia (ALL) is critical for timely intervention and improved patient outcomes. However, the development of reliable deep learning models for hematological image analysis is challenged by limited ... read more 

Prompt-Driven ChatGPT Carbon Calculator for Dental Practices: Estimation and Tailored Improvement Strategies.

International dental journal
INTRODUCTION AND AIMS: This study investigates the feasibility of applying ChatGPT, a generative artificial intelligence (AI) language model, to develop a user-friendly carbon footprint calculator tailored for dental practices. Building on a previous... read more 

Precision mapping and driving factors of heavy metal(loid)s in agricultural soils of the Yellow River: An integrated machine learning and Geodetector approach.

Environmental research
Heavy metal (loid) (HM) contamination of agricultural soils threatens global food security and sustainable development. Despite the Yellow River Basin's (YRB) status as a major grain-producing region under complex industrial and hydrological pressure... read more 

Aucklandia lappa, Vladimiria souliei, and Inula helenium: A comprehensive review on the ethnomedicines, phytochemicals, quality control and pharmacology of three confusable Muxiang varieties (2015-2025).

Journal of ethnopharmacology
ETHNOPHARMACOLOGICAL RELEVANCE: The dried roots of Aucklandia lappa (Mu-Xiang), Vladimiria souliei (Chuan-Mu-Xiang), and Inula helenium (Tu-Mu-Xiang), perennial species of the Asteraceae family, are commonly used in traditional Chinese medicine for t... read more 

Automated active learning to optimize hydrogel drug release profiles.

Journal of controlled release : official journal of the Controlled Release Society
Hydrogels are widely used in drug delivery due to their biocompatibility and tunable release properties. However, optimizing hydrogel formulations to the desired release of therapeutics remains experimentally intensive. In this study, we developed an... read more