AI Medical Compendium

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

The Laryngoscope May 29, 2026

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 May 29, 2026

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 May 29, 2026

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 May 29, 2026

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 May 29, 2026

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 May 29, 2026

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 May 29, 2026

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 May 29, 2026

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

Decoding the microbiome: artificial intelligence-targeted gut microenvironment breakthroughs in personalized cancer therapy.

Gut microbes May 29, 2026

The gut microbiome functions as a key regulator of tumorigenesis and progression, thereby modulating tumor development and treatment outcomes (including chemoresistance, immunotherapy efficacy, and adverse effects) through its influence on the immune... read more

Diet, Diarrhoea and Maternal Factors Associated With Wasting in Ghanaian Children Aged 6-23 Months: A Machine Learning Predictive Approach Using the 2022 Demographic and Health Survey.

Tropical medicine & international health : TM & IH May 29, 2026

OBJECTIVES: This study estimates the prevalence of wasting and examines associated factors among children aged 6-23 months in Ghana from a machine-learning perspective, with a particular focus on predicting new cases to inform preventive efforts. MET... read more

Artificial Intelligence Medical Compendium