AI Medical Compendium

Predicting Post-Induction Hypotension in Diverse Surgical Populations: A Multiclass Classification Universal Model Using Machine Learning Techniques.

Yonsei medical journal Apr 1, 2026

PURPOSE: Our study aims to develop a machine learning model that not only predicts the occurrence of post-induction hypotension (PIH) but also assesses its severity, addressing a broader patient population than previous studies which mostly focused o... read more

Global Sensitivity Analysis for Robust XAI: Quantifying Clinical Risk and Prediction Instability in Dermoscopic Image Classification.

Risk analysis : an official publication of the Society for Risk Analysis Apr 1, 2026

The high nominal accuracy achieved by deep learning models in predicting malignant skin lesions is frequently undermined by their susceptibility to operational uncertainty. Image acquisition conditions, such as lighting, device settings, and skin cha... read more

Inside the 'self-driving' lab revolution.

Nature Apr 1, 2026

Interpreting the Effects of Environmental Variables on a Multistep Deep Learning Model for Algal Bloom Prediction Using Explainable Artificial Intelligence.

Water environment research : a research publication of the Water Environment Federation Apr 1, 2026

In this study, a sequence-to-sequence (Seq2Seq) deep learning model was developed to predict the chlorophyll-a concentration, which serves as a quantitative indicator of algal blooms, and its prediction performance was evaluated at eight different ti... read more

Reimagining Nursing Theories in the Age of Artificial Intelligence: Preserving the Human Essence Amid Digital Transformation.

Nursing inquiry Apr 1, 2026

The exponential growth of artificial intelligence (AI) in healthcare has sparked both enthusiasm and apprehension within the nursing discipline. While AI promises to enhance clinical efficiency, accuracy, and decision-making, it simultaneously challe... read more

The Mediating Role of Artificial Intelligence Anxiety in The Effect of Nurses' Attitudes Toward Health Technologies on Their Readiness for Medical Artificial Intelligence.

Journal of evaluation in clinical practice Apr 1, 2026

AIM: This study aims to evaluate the mediating role of artificial intelligence (AI) anxiety in the effect of nurses' attitudes toward health technologies on their readiness for medical artificial intelligence (MAI). METHODS: A cross-sectional design ... read more

Advanced Control of Continuous Pharmaceutical Manufacturing Processes: A Case Study on the Application of Artificial Neural Network for Predictive Control of a CDC Line.

Computers & chemical engineering Apr 1, 2026

The adoption of continuous pharmaceutical manufacturing has driven increased use of modeling, simulation, and advanced process control strategies. Artificial intelligence (AI) model-based approaches, like neural network predictive control (NNPC), off... read more

Comparative Performance of Artificial Intelligence-Based Computer-Aided Detection Systems for Colorectal Polyps: A Systematic Review and Network Meta-Analysis.

Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society Apr 1, 2026

BACKGROUND AND AIMS: Computer-aided detection (CADe) is anticipated to enhance adenoma detection rate (ADRs). The aim of this study was to systematically collect randomized-controlled trials comparing colonoscopy with CADe to standard colonoscopy wit... read more

Rheological and Textural Studies in 3D Printed Meat Analogs From Pea Protein Isolate: A Review.

Journal of texture studies Apr 1, 2026

The increasing demand for sustainable, functional, and consumer-oriented food products has positioned pea protein isolate as a promising ingredient for developing plant-based meat analogs. This review synthesizes recent advances in the application of... read more

NR3C1 Modulates Wnt Signalling to Influence the Invasiveness and Immune Features of Nonfunctioning Invasive Pituitary Adenomas.

Journal of cellular and molecular medicine Apr 1, 2026

Pituitary adenomas (PAs) are common intracranial tumours, and invasiveness in nonfunctioning invasive pituitary adenomas (NIPAs) predicts poor prognosis. The molecular mechanisms driving this phenotype remain unclear. This study explored the role of ... read more

Artificial Intelligence Medical Compendium