Artificial Intelligence Medical Compendium

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

Showing 20,191 to 20,200 of 215,962 articles

Bioinspired ultrasound-driven ultrafast soft microgripper.

Proceedings of the National Academy of Sciences of the United States of America
Understanding how acoustic waves interact with soft matter is critical for developing new strategies for dynamic control, actuation, sensors, and manipulation at small scales. A major challenge in soft matter and microrobotics is how to achieve fast,... read more 

What do clinicians edit in ambient AI-drafted clinical documentation? A qualitative content analysis.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Ambient artificial intelligence (AI) documentation is increasingly used to draft clinical notes from patient-provider conversations, but how clinicians revise and finalize these drafts is not well understood. This qualitative content analy... read more 

Host-Linked Virome Assembly and Turnover Predict Bacterial Community Structure in Wastewater Treatment Systems.

The ISME journal
Viruses play crucial roles in bacterial ecology and evolution through virus-host interactions; however, their distribution, assembly mechanisms, and temporal turnover remain underexplored in engineered ecosystems. In the present study, we used activa... read more 

Methodological Approaches to and Reported Performance of Applications of Automated Machine Learning in Diabetes Risk Prediction: Rapid Review.

JMIR AI
BACKGROUND: Type 2 diabetes (T2D) is a complex, chronic condition that imposes a substantial burden on health care systems. Prevention and early detection are critical to mitigating its impact. Automated machine learning (AutoML) models have the pote... read more 

Scalable Identification of Clinically Relevant Chronic Obstructive Pulmonary Disease Documents in Large-Scale Electronic Health Record Datasets With a Lightweight Natural Language Processing Model: Retrospective Cohort Study.

JMIR medical informatics
BACKGROUND: The widespread adoption of electronic health records has resulted in the generation of large volumes of clinical notes. Learning algorithms and large language models can be trained on these resources, but they are susceptible to noise-irr... read more 

Decoding bacterial transcriptional regulatory networks through integrated multi-omics datasets for artificial intelligence-driven design of programmable biological systems.

Current opinion in biotechnology
Advances in next-generation sequencing (NGS) have provided refined insight into bacterial transcriptional regulatory networks (TRNs) on a genome-wide scale. The integration of genomic and transcriptomic datasets has clarified the architecture of TRNs... read more 

Integrating molecular representations for machine learning-based virtual screening of Glutaminyl Cyclase inhibitors.

Journal of molecular graphics & modelling
Secretory Glutaminyl Cyclase (sQC) catalyzes the formation of pyroglutamate amyloid-β (pE-Aβ), a highly aggregation-prone and neurotoxic species. In this study, we developed a deep learning model that combines ChemBERTa pre-trained embeddings with ex... read more 

High-dimensional colorimetric sensor array based on composite dyes for rapid detection of antioxidant properties during goji berry juice fermentation.

Food chemistry
Goji berry juice (GBJ) is a highly popular healthy drink among consumers. Rapid monitoring of the antioxidant properties of GBJ is crucial and necessary. A colorimetric sensor array (CSA) based on composite dyes was used for the rapid detection of th... read more 

Model-guided design of lymphatic drug delivery systems using osmotic pressure, viscosity and lymph node size.

Journal of controlled release : official journal of the Controlled Release Society
Metastatic lymph nodes (LNs) represent a major barrier to effective drug delivery in cancer therapy. To address this challenge, a lymphatic drug delivery system (LDDS) enabling direct intranodal administration has been developed. In LDDS, drug transp... read more 

Impact of Pre-freezing on Palatal Rugae-Based Postmortem Identification: Discriminant Classification of Intraoral Scans in an Ex Vivo Porcine Model.

Journal of dentistry
OBJECTIVES: As the use of intraoral scanners becomes routine in digital dentistry, digitally recorded palatal anatomy may become a potential adjunctive method for human identification when other primary identifiers are unavailable. This study evaluat... read more