AI Medical Compendium

Optimized Seizure Detection in EEG Using Dual-Branch Feature Fusion and Machine Learning Technique.

Developmental neurobiology Apr 1, 2026

Epilepsy is a neurological disorder of the brain that generates seizures due to abnormal electrical activity. The diagnosis and management of the disease primarily depend on recordings of the EEG. A multistage methodology for seizure detection with e... 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

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

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

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

Artificial Intelligence for Standardisation and Quality Assessment in Robotic Colorectal Surgery: A Narrative Review.

The international journal of medical robotics + computer assisted surgery : MRCAS Apr 1, 2026

BACKGROUND: Robotic colorectal surgery has achieved widespread clinical adoption, yet meaningful standardisation of intraoperative practice remains limited, with persistent variability in operative setup, workflow execution, and technical performance... read more

The prediction and impact of self-criticism on non-suicidal self-injury in adolescents: A study based on machine learning.

Acta psychologica Apr 1, 2026

This study uniquely combines machine learning with structural equation modeling to investigate how self-criticism affects non-suicidal self-injury (NSSI) behaviors in adolescents. Using a Support Vector Machine (SVM) for binary classification (distin... read more

Small but mighty: Peptides as next-generation immunotargeting agents in gynecological cancers.

Translational oncology Apr 1, 2026

The most common cancers in women, ovarian, cervical and endometrial, are still a significant cause of cancer-related illness and death around the world. Success with the newest immunotherapy can only be achieved when the treatment targets the tumor a... read more

Parsimonious and explainable biomarker-based severity score for hospitalised patients with COVID-19-related respiratory infections: development, validation and XAI benchmarking.

Computers in biology and medicine Apr 1, 2026

BACKGROUND: Severity scoring systems are increasingly important tools for stratifying hospitalised patients, guiding treatment decisions, and enabling analyses that capture illness severity. However, many existing models are complex, lack transparenc... read more

Can large language models like ChatGPT and Gemini interpret cervical cytology accurately?

Annals of diagnostic pathology Apr 1, 2026

Large language models (LLMs) have shown promise in medical imaging, but their utility in cytology remains underexplored. This study evaluates GPT-5 and Gemini 2.5 Pro for cervical Pap test interpretation. Digital cervical Pap test images of 100 cases... read more

Artificial Intelligence Medical Compendium