Artificial Intelligence Medical Compendium

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

Showing 59,321 to 59,330 of 227,876 articles

Beyond Measure: Human-Values-Based Care.

Journal of general internal medicine
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"I Double Checked It with My Own Knowledge:" Physician Perspectives on the Use of AI Chatbots for Clinical Decision-Making.

Journal of general internal medicine
BACKGROUND: AI chatbots are proliferating in healthcare systems. It is essential to explore how physicians use these tools in order to understand their influence on clinical care and outcomes. Our goal was to understand how physicians conceive of and... read more 

Evaluation of ChatGPT-4 and Microsoft Copilot for Third-Molar Assessment on Panoramic Radiographs.

Journal of imaging informatics in medicine
To assess the performance of two AI chatbot assistants in identifying the presence and classifying the position of third molars on panoramic radiographs. A total of 114 third molars from 100 panoramic radiographs were evaluated consensually by three ... read more 

Psychiatric Documentation and Management in Primary Care With Artificial Intelligence Scribe Use.

JAMA psychiatry
IMPORTANCE: Despite increasingly widespread use of artificial intelligence (AI)-driven ambient scribes in medicine, the extent to which they are associated with clinician practice is not well studied. OBJECTIVE: To characterize differences in documen... read more 

Federated Learning in Healthcare: From Research to Real-World Deployment.

Annual review of biomedical engineering
Artificial intelligence (AI), including deep and traditional machine learning, holds great promise for advancing biomedical research and healthcare. However, most AI studies remain academic in nature and rarely transition into clinical practice, larg... read more 

The Role of Chemical Engineers in the Pharmaceutical Industry.

Annual review of chemical and biomolecular engineering
Chemical engineers have played a vital role in the pharmaceutical industry for more than a century, bridging the gap between scientific discovery and large-scale drug manufacturing. This review examines the evolution in the role of chemical engineers... read more 

MolCluster: An Unsupervised Framework for Multiscale Molecular Representations with Physically Consistent Resolution Control.

Journal of chemical theory and computation
Coarse-grained (CG) modeling simplifies molecular systems by mapping groups of atoms into representative particles, but traditional approaches depend on fixed rules and struggle to handle diverse chemical structures. Supervised CG methods further suf... read more 

Machine learning using entropy-based texture features from MRI to differentiate histological subtypes of non-small cell lung cancer identified as metabolically active on PET/MRI.

PloS one
Texture analysis is a foundational approach in imaging studies and demonstrates excellent diagnostic performance, with radiomic analysis being the most widely used method. New approaches to texture analysis continue to be developed. However, magnetic... read more 

Improving the measurement resolution in BOTDR sensor with optimized wavelet denoising strategy.

PloS one
Signal averaging imposes a significant trade-off between measurement time and measurand resolution in a sub-meter differential cross-spectrum Brillouin optical time domain reflectometry (DCS-BOTDR). This article introduces an optimized post-processin... read more