Artificial Intelligence Medical Compendium

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

Showing 37,741 to 37,750 of 223,469 articles

Fuzzy-driven broad learning system with class probability and density awareness for multi-view data.

Neural networks : the official journal of the International Neural Network Society Mar 28, 2026
The broad learning system (BLS) has recently emerged as a promising alternative to deep neural networks, offering comparable predictive accuracy with drastically reduced computational cost through random weight assignment and pseudo-inverse-based tra... read more 

Practical Integration of Bedside Real-Time Lung Ultrasound and Electrical Impedance Tomography for Guiding Personalized Perioperative Lung Protective Ventilation in Cardiothoracic and Vascular Anesthesia.

Journal of cardiothoracic and vascular anesthesia Mar 28, 2026
Patients undergoing cardiothoracic and vascular surgery are at uniquely high risk for postoperative pulmonary complications due to the confluence of surgical trauma, one-lung ventilation, cardiopulmonary bypass, and sternotomy. This review evaluates ... read more 

A Randomised Study of ChatGPT-4o vs. Written Materials for Teaching Periodontal-Systemic Relationships in Dental Education.

European journal of dental education : official journal of the Association for Dental Education in Europe Mar 28, 2026
INTRODUCTION: The bidirectional relationship between periodontal and systemic diseases (particularly diabetes and cardiovascular diseases) is central to contemporary dental curricula. However, the effectiveness of Large Language Model (LLM) tools com... read more 

Small-molecule binding and sensing with a designed protein family.

Nature communications Mar 28, 2026
The de novo design of small-molecule-binding proteins holds great promise as a potential tool to develop sensors on-demand for arbitrary small molecules. Here we combine deep learning and physics-based methods to generate a family of proteins with di... read more 

KinForm: kinetics-informed feature optimised representation models for enzyme kcat and KM prediction.

NPJ systems biology and applications Mar 28, 2026
Kinetic parameters such as the turnover number (kcat) and Michaelis constant (KM) are essential for modelling enzymatic activity but experimental data remains limited in scale and diversity. Previous methods for predicting enzyme kinetics typically u... read more 

4f-5d orbital tag-team catalysis empowers high-loading zinc-iodine batteries.

Nature communications Mar 28, 2026
Conversion-type positive electrodes offer high theoretical energy density for next-generation energy storage, but their practical application is limited by severe shuttle effects and sluggish kinetics under high loadings. Achieving strong adsorption ... read more 

An optimized EfficientNetB0 framework with CLAHE-based preprocessing for accurate multi-class chest X-ray classification.

Scientific reports Mar 28, 2026
Chest radiography remains an essential diagnostic tool for thoracic diseases, yet interpreting overlapping anatomical structures is particularly challenging when multiple pathologies co-occur a common clinical scenario often oversimplified in deep le... read more 

UTR-DynaPro: a CNN-transformer multimodal language model for decoding 5'UTR regulatory mechanisms.

Scientific reports Mar 28, 2026
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Optimized environmental prediction in smart buildings using Dynamic Greylag Goose algorithm and deep learning.

Scientific reports Mar 28, 2026
The quick adoption of IoT technologies in smart buildings for monitoring the environment makes it possible to check environmental conditions frequently, but it also makes it challenging to process and analyze all the information regularly. This conti... read more 

Domain specific multimodal large language model for automated endoscopy reporting with multicenter prospective validation.

NPJ digital medicine Mar 28, 2026
Accurate endoscopy reports are crucial for the diagnosis and management of patients with upper gastrointestinal (UGI) diseases, yet errors and omissions are common. The preparation of routine reports for common diseases is labor-intensive and time-co... read more 
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