Artificial Intelligence Medical Compendium

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

Showing 25,711 to 25,720 of 217,759 articles

Clinicians' rationale for editing ambient AI-drafted clinical notes: persistent challenges and implications for improvement.

Journal of the American Medical Informatics Association : JAMIA Apr 27, 2026
OBJECTIVE: The use of ambient AI documentation tools is rapidly growing in US hospitals and clinics. Such tools generate the first draft of clinical notes from scribed patient-provider conversations, which clinicians can then review and edit before s... read more 

Development of machine learning models for predicting early pregnancy outcomes based on β-hCG, progesterone, and estradiol.

PloS one Apr 27, 2026
OBJECTIVE: This study aims to develop a machine learning model for predicting early pregnancy outcomes by combining baseline levels and dynamic changes of β-human chorionic gonadotropin (β-hCG), progesterone (P), and estradiol (E2). METHODS: This ret... read more 

Deep feature optimization using fusion of multiple self-supervised learning approaches and filter-based feature selection for lung cancer histopathology classification.

PloS one Apr 27, 2026
One of the most deadly illnesses in the world is lung cancer, and increasing survival rates require early detection. Lung cancer diagnostics from the imaging modalities is always subjective, and this paves the way for deep learning assisted computer ... read more 

Understanding online sentiment toward waterpipe tobacco smoking by applying deep-learning language models to Twitter posts (2021-2023) in the United States.

Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco Apr 27, 2026
INTRODUCTION: Waterpipe tobacco smoking remains a popular social activity among young adults in the United States. This study aims to understand sentiment toward waterpipe on social media in the United States by analyzing Twitter/X data. METHODS: Usi... read more 

Enhanced graph attention network by integrating Long Short-Term Memory for artificial emotion representation in multi-modality datasets.

PloS one Apr 27, 2026
Emotion representation is a critical aspect of artificial intelligence, particularly in human-computer interaction and affective computing. Emotion recognition from multi-modal data remains challenging due to the complex semantic relationships betwee... read more 

RE: Generative Artificial Intelligence for Postoperative Parameters Prediction in Implantable Collamer Lens Surgery.

Journal of cataract and refractive surgery Apr 27, 2026
read more 

GAN-GA: A Deep-Evolutionary Approach for Synthesizing Functionally Similar Heat Shock Proteins.

IEEE journal of biomedical and health informatics Apr 27, 2026
De novo protein design has emerged as a transformative approach for generating functional proteins without relying on naturally occurring templates, offering vast potential in biomedical and industrial applications. The integration of generative deep... read more 

Predicting Bladder Cancer Prognosis by Integrating Multiple Omics Data through an Adversarial Autoencoder-based Cox proportional hazards Network.

IEEE transactions on computational biology and bioinformatics Apr 27, 2026
Bladder cancer prognosis is a critical factor in determining optimal treatment strategies. However, the heterogeneity of multi-omics data and the high dimensionality of gene features pose significant challenges for accurate survival prediction. Tradi... read more 

Box-Free Model Watermarks Are Prone to Black-Box Removal Attacks.

IEEE transactions on pattern analysis and machine intelligence Apr 27, 2026
Box-free model watermarking is an emerging technique to safeguard the intellectual property of deep learning models, particularly those for low-level image processing tasks. Existing works have verified and improved its effectiveness in several aspec... read more 

Matrix Commitment-based Ownership Verification for Distributed Machine Learning.

IEEE transactions on pattern analysis and machine intelligence Apr 27, 2026
Distributed Machine Learning (DML) enables parallel training but creates conflicts regarding model ownership determination, as verifying the specific contributions of individual clients during weight updates remains a challenge. To resolve ownership ... read more 
Popular Topics
Recent Journals