Artificial Intelligence Medical Compendium

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

Showing 40,661 to 40,670 of 223,737 articles

Integrating machine learning and artificial intelligence in the management of Acinetobacter infections: a narrative review.

Infection
Acinetobacter baumannii, particularly in its multidrug-resistant (MDR) and carbapenem-resistant (CRAB) forms, has become a major global health concern due to its ability to survive in hospital environments, acquire resistance rapidly, and cause sever... read more 

DispatchMAS: fusing taxonomy and artificial intelligence agents for emergency medical services.

BMC emergency medicine
BACKGROUND: Emergency medical dispatch is a critical, high-stakes process where dispatcher decisions directly impact patient outcomes. While standardized protocols exist, they are challenged by factors like caller distress, ambiguous symptom descript... read more 

The interplay between Peptostreptococcus and Fusobacterium as novel signatures in colorectal cancer recurrence.

Microbiome
BACKGROUND: After resection surgery, recurrence occurs in more than 30% of colorectal cancer (CRC) patients. Previous studies have highlighted the role of the gut microbiota in CRC initiation and progression; however, the microbial features associate... read more 

Association of accelerated biological aging with obstructive sleep apnea symptoms and identification of a candidate biomarker gene signature.

Clinical epigenetics
BACKGROUND: Obstructive sleep apnea (OSA) is a common sleep-related breathing disorder that is linked to cardiovascular, metabolic, and neurocognitive complications. However, its diagnosis relies on polysomnography, which is complex and resource-inte... read more 

Multimodal deep learning improves cross-environment prediction of durum wheat yield components.

BMC plant biology
Durum wheat breeding increasingly requires tools that can anticipate how genotypes respond to the shifting mix of heat and drought typical of Mediterranean drylands. In this study, we explored whether a multimodal deep learning (MM-DL) framework-one ... read more