Artificial Intelligence Medical Compendium

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

Showing 1,891 to 1,900 of 200,546 articles

Interpretable machine-learning prediction of DFT energies per atom and identification of magic numbers in coinage-metal nanoclusters (N ≤ 55) from the open quantum cluster database.

Physical chemistry chemical physics : PCCP
Atomically precise coinage-metal nanoclusters (Cu, Ag, and Au) exhibit size-dependent stability critical for catalysis, plasmonics, and photocatalysis, yet first-principles screening becomes prohibitive beyond ∼55 atoms. We use the open quantum clust... read more 

Synchrotron-Based Deep Learning Network of the Inner Ear: Development and Expert Validation.

The Laryngoscope
OBJECTIVE: To develop and externally validate a deep learning segmentation network capable of automatically segmenting the inner ear in preoperative clinical computed tomography (CT) scans across various resolutions and protocols. METHODS: A deep lea... read more 

Large Language Model Responses to Common Otolaryngological Questions: Evaluating Accuracy, Appropriateness, Readability, and Hallucinations.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
OBJECTIVES: Artificial Intelligence (AI) is increasingly integrated into medicine, including otolaryngology. However, concerns remain regarding the accuracy of generated content and the tendency of large language models (LLMs) to fabricate references... read more 

Predictors of warfarin therapeutic dose in cancer patients: a preliminary comparative study using machine learning-integrated explainable artificial intelligence and Bayesian models.

Expert review of anticancer therapy
BACKGROUND: Warfarin dosing in cancer patients is challenging due to altered pathophysiology and variable responses. While machine learning offers predictive potential, clinical adoption requires interpretability. This study is an initial attempt at ... read more 

Investigating the Quality of Chat Generative Pretrained Transformer's Parenting Advice.

Journal of developmental and behavioral pediatrics : JDBP
OBJECTIVES: Chat Generative Pretrained Transformer (ChatGPT) is a widely adopted tool that can provide immediate parenting guidance. The aim of this study was to examine the quality of ChatGPT parenting advice. METHODS: Clinically relevant ChatGPT qu... read more 

Using Elicit AI research assistant for data extraction in systematic reviews: A feasibility study across environmental and life sciences.

Research synthesis methods
Data extraction in systematic reviews, maps, and meta-analyses is time-consuming and prone to human error or subjective judgment. Large Language Models offer the potential for saving time, yet their performance has been evaluated in a limited range o... read more 

Bioinspired Swallowing Soft Gripper with Toroidal Optical Waveguides for Multimodal Interactive Perception.

Soft robotics
Multimodal soft grippers can adapt grasping strategies to diverse environments, yet integrating sensors under large, coupled deformations remains challenging. Inspired by the mechanosensation of sea anemones and their ability to swallow, this article... read more 

Network Pharmacological Analysis of Lentinan in Regulating Intervertebral Disc Degeneration: Combined with Machine Learning-Based Screening and Molecular Dynamics Validation.

Omics : a journal of integrative biology
Lentinan (LNT) is a polysaccharide with antioxidant and anti-inflammatory properties; however, its link to intervertebral disc degeneration (IVDD) remains unclear. Here, we integrated network pharmacology, machine learning, molecular docking, and mol... read more 

Artificial intelligence-enabled digital reproductive health education: corpus-based strategies for strengthening Spanish health communication capacity.

African journal of reproductive health
This study examines how corpus-grounded artificial intelligence (AI) can strengthen Spanish reproductive health communication capacity within China's digital health ecosystem. A mixed-methods design was employed, combining corpus linguistics, AI-assi... read more