Artificial Intelligence Medical Compendium

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

Showing 40,911 to 40,920 of 223,737 articles

Nanotoxicology meets smart polymers: advancing safety-by-design nanomaterials.

Journal of biomaterials science. Polymer edition
Smart polymers have played great role in enhancing nanomedical application areas in drug delivery, diagnosis and environment sensitive treatment systems. Nonetheless, their highly adaptive and structurally diverse nature leads to more concern toward ... read more 

A Decade of Innovation in Hydrazine Detection Methods.

Critical reviews in analytical chemistry
Hydrazine is an extremely toxic and carcinogenic compound extensively applied in industry, which prompts the development of sensitive and reliable sensors for environmental and biological monitoring. While traditional techniques such as chromatograph... read more 

Advanced Optical Sensing Techniques for Biomolecular Detection in the Human Body: Principles, Technologies, and Clinical Perspectives.

Chemical record (New York, N.Y.)
Optical biosensing technologies have become viable platforms for biomolecular detection, providing rapid and sensitive analysis of a wide range of biological targets such as proteins, nucleic acids, and metabolites. The principles, technological adva... read more 

Can AI chatbots guide patients and physicians about neck pain? A reliability and readability comparison of ChatGPT-4 and Gemini.

Journal of back and musculoskeletal rehabilitation
BackgroundArtificial intelligence (AI)-based chatbots are increasingly used as sources of medical information. Given the high prevalence of neck pain as a musculoskeletal symptom, patients may commonly consult such tools for health-related guidance.O... read more 

SurfSol: A Multimodal Surface-Based Deep Learning Framework for Protein Solubility Prediction.

Journal of chemical information and modeling
Protein solubility is a critical determinant for the application of recombinant proteins in biotechnology and pharmaceuticals. Although experimental techniques have advanced, accurate prediction of solubility remains a persistent challenge. This work... read more 

Classification of recycled plastics using sparse and imbalanced spectral data and data augmentation by the generative adversarial network.

The Analyst
Accurate identification of post-consumer plastics is essential to establishing high-performance recycling processes and enabling a circular and sustainable economy and environment through effective recycling and remanufacturing. However, Fourier tran... read more 

Novel Deep-Learning Unsupervised Domain Adaptation Method for Mitigating Batch, Strain, and Instrument Variations to Enhance Raman Spectroscopy-Based Bacterial Pathogen Identification.

Analytical chemistry
The escalating threat of antibiotic resistance demands a rapid and accurate pathogen identification. While Raman spectroscopy combined with deep learning supports fast detection, model robustness remains compromised by domain shifts arising from inst... read more 

Micro-SORS and machine learning for the non-invasive reference-free study of subsurface pigment degradation.

The Analyst
In this study, we present the development of micro-spatially offset Raman spectroscopy (micro-SORS) methods and data analysis routines for the study of pigment degradation processes in the cultural heritage field, exploiting micro-SORS ability to non... read more 

Artificial Intelligence in Anatomic Education: Educational Utility, Safety Boundaries, and Implementation Considerations.

The Journal of craniofacial surgery
Anatomic education is central to medical training and underpins safe clinical and surgical practice. Despite its importance, traditional methods of anatomy teaching face persistent structural challenges, including limited cadaver availability, high c... read more