Artificial Intelligence Medical Compendium

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

Showing 50,151 to 50,160 of 224,814 articles

Predicting the active sites of quinolone antibiotics interacting with organisms by deep learning and molecular docking.

Aquatic toxicology (Amsterdam, Netherlands)
Quinolones (QNs) antibiotics have become one of the most commonly used antibacterial drugs for human and animals in the world. In this study, we focused on 19 common quinolone (QN) antibiotics and collected their bioassay activity data from the PubCh... read more 

Bioelectronic interface for real-time brain biomarker analysis.

Bioelectrochemistry (Amsterdam, Netherlands)
The brain is a highly complex organ, exhibiting a highly dynamic chemical environment, playing crucial role in coordinating pathophysiological processes and neural communications, through regulated chemistry. Any fluctuation in the chemical milieu ma... read more 

Deep Learning segmentation with metal intrusion for quantitative microstructure analysis of hardened cement paste.

Micron (Oxford, England : 1993)
Quantitative microstructure analysis of hardened cement paste is critical but challenging due to the highly disordered nature of the materials. Here, we introduced an advanced approach combining metal intrusion and deep learning segmentation to enhan... read more 

Machine learning assisted SERS detection of selenium species using a sodium alginate/silver hydrogel substrate.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Selenium (Se) was an essential trace element that possessed a very narrow concentration range between nutritional benefit and toxic effects. The development of rapid and accurate detection methods for selenium speciation in environmental samples was ... read more 

An automated vertebral heart scale measurement tool based on deep learning: Facilitating screening for prevention of canine cardiomegaly.

Preventive veterinary medicine
Automatically measuring the Vertebral Heart Scale (VHS) from canine thoracic X-ray images is an effective approach for the early screening and prevention of cardiomegaly. Establishing automated and precise measurement tools is crucial for advancing p... read more 

Comparable survival after lobectomy and total thyroidectomy for T3b differentiated thyroid carcinoma: A population-based study.

Oral oncology
BACKGROUND: The 2025 American Thyroid Association guidelines recommend total thyroidectomy for all T3b differentiated thyroid carcinoma (DTC). However, the prognostic impact of the surgical extent remains inadequately characterized. This study evalua... read more 

Prioritising follow-up for people with suspected epilepsy using a digital EEG biomarker.

Epilepsy & behavior : E&B
Lengthy waits for follow-up testing are common for people with suspected epilepsy. This delays diagnosis, prolongs uncertainty and increases seizure risk. Initial EEGs are frequently inconclusive, yet follow-ups are often dictated by referral date, a... read more 

[Artificial intelligence and disinformation in health: The need for re-education from primary care].

Atencion primaria
The use of generative artificial intelligence (AI) is transforming the way people access health information, offering great opportunities but also posing risks related to misinformation. Its impact is particularly evident among individuals with low d... read more 

Machine learning-based prediction of significant intraoperative blood loss to guide risk-adapted blood management decisions in spinal surgery.

Journal of clinical anesthesia
INTRODUCTION: Significant blood loss (≥ 500 mL) during spinal surgery is common and linked to greater transfusion requirements and worse outcomes. Preoperative tools for risk stratification and individualized blood-management strategies are lacking. ... read more 

Recent Advances in Cancer Diagnostics: Exotic Animal Medicine and Beyond.

The veterinary clinics of North America. Exotic animal practice
Recent advances in veterinary diagnostic oncology have significantly improved neoplasia detection in animals, including zoo, exotic, and wildlife species. Emerging technologies including liquid biopsies, proteomics, metabolomics, artificial-intellige... read more