Artificial Intelligence Medical Compendium

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

Showing 40,181 to 40,190 of 223,737 articles

Comparing the Accuracy of 4 Artificial Intelligence Models in PubMed Citation Generation for Glaucoma Research.

Journal of glaucoma
PRCIS: DeepSeek, a biomedically enriched AI model, achieved the highest accuracy in generating PubMed citations for glaucoma research, outperforming general-purpose models and highlighting the necessity of human oversight to mitigate AI-related citat... read more 

AI-driven design of antimicrobial peptide for combating resistance and infectious diseases.

Pathology, research and practice
The growing threat of antimicrobial resistance, coupled with the challenges of developing new antibiotics, demands innovative therapeutic solutions. Antimicrobial peptides (AMPs) present a promising alternative, yet their clinical application is limi... read more 

Artificial intelligence in medicine: a scoping review of the risk of deskilling and loss of expertise among physicians.

ESMO real world data and digital oncology
BACKGROUND: Artificial intelligence (AI) systems are increasingly deployed in clinical practice, particularly in radiology, pathology, endoscopy, and decision support. While these tools improve efficiency and accuracy, concerns have arisen about desk... read more 

Multi-scale chunked residual encoding and temporal stochastic interpolation padding in SNNs for enhanced speech classification.

Neural networks : the official journal of the International Neural Network Society
Due to the time sensitivity of Spiking Neural Networks (SNNs), they exhibit unique potential for temporal information processing of speech datasets. When they are used to process speech information, the encoding layer is crucial for model's input inf... read more 

Classification of histological types in ovarian cancer using deep learning.

European journal of obstetrics, gynecology, and reproductive biology
BACKGROUND: Histological typing of carcinomas is crucial considering the varying progression, prognosis, and treatment efficacy. Clear cell and mucinous carcinomas show good early-stage prognosis but poor advanced-stage outcomes due to chemotherapy r... read more 

Object-guided multi-granularity unsupervised hashing for image retrieval.

Neural networks : the official journal of the International Neural Network Society
Hashing has attracted great attention for large-scale image retrieval due to its low storage cost and high search efficiency. However, most unsupervised hashing methods construct the affinity matrix according to the cosine similarity, which achieves ... read more 

Integrating bioinformatics, machine learning and molecular biology to elucidate the anti-allergic mechanisms of ginkgo biloba leaves.

Computational biology and chemistry
Allergic diseases, encompassing allergic asthma, atopic dermatitis, food allergies, have emerged as substantial global public health challenges, with IgE-stimulated mast cell and basophil playing pivotal roles in disease pathogenesis. Our prior resea... read more 

Technostress in the Era of Generative Artificial Intelligence: Mental Health Implications in Medical Education.

Psychiatry investigation
OBJECTIVE: Generative artificial intelligence (GenAI) has rapidly expanded across education. While its educational benefits are widely recognized, concerns are emerging regarding its potential psychological impact. This narrative review aimed to synt... read more 

Artificial intelligence in inflammatory bowel disease: bridging innovation, implementation and impact.

Nature reviews. Gastroenterology & hepatology
Artificial intelligence (AI) is rapidly transforming the management landscape of inflammatory bowel disease (IBD). While early applications in endoscopy, digital pathology and cross-sectional imaging drew substantial attention, next-generation AI sys... read more