Artificial Intelligence Medical Compendium

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

Showing 63,871 to 63,880 of 231,309 articles

Artificial intelligence-based fluid quantification predicts clinical outcomes in diabetic macular oedema eyes treated with intravitreal dexamethasone implants: DIADEMA project.

The British journal of ophthalmology
AIM: To explore associations between artificial intelligence (AI)-based baseline optical coherence tomography (OCT) fluid compartment quantifications and 12-month visual outcomes in diabetic macular oedema (DME) eyes treated with the intravitreal dex... read more 

Deconstruction by C. thermocellum-from microbe mediated to dynamic redistribution of cellulosomes.

Life science alliance
Clostridium thermocellum is one of the most efficient microorganisms for the deconstruction of cellulosic biomass. To achieve this high level of cellulolytic activity, C. thermocellum uses large multienzyme complexes known as cellulosomes to break do... read more 

Development and external validation of machine learning approaches for risk prediction of cardiovascular disease in individuals with schizophrenia: a nationwide Swedish and Danish study.

BMJ mental health
BACKGROUND: Currently available cardiovascular disease (CVD) risk prediction tools may underestimate the risk in individuals with schizophrenia. OBJECTIVE: To develop and externally validate 5-year CVD risk prediction models for people with schizophr... read more 

AI and AR based digital reconstruction of Liangshan Yi lacquerware.

Scientific reports
The lacquering technique of Yi lacquerware, a national intangible cultural heritage object (ICHO) of China, is distinguished by its unique forms, patterns, and colors, embodying profound religious beliefs and aesthetic connotations. Currently, this t... read more 

Radiologist burnout: AI's true black box.

European radiology
Multiple articles have touted the longitudinal promise of artificial intelligence (AI) in radiology, including projections of streamlining repetitive tasks, improving workflow, and reducing physician burnout. The purpose of this article is to review ... read more 

Attitudes of psychiatric nurses towards the integration of artificial intelligence applications to clinical care: a qualitative study in China.

BMC nursing
BACKGROUND: The application of artificial intelligence in mental health faces unique challenges. Psychiatric nurses provide direct care to patients with mental illness, and their attitudes toward artificial intelligence will directly impact the effec... read more 

Multi-Task Feedforward Neural Networks for Thermodynamic Property Prediction under Small Sample Sizes.

The journal of physical chemistry. A
Reliable explosion modeling requires accurate thermodynamic properties of hazardous chemicals, yet the scarcity of experimental data highlights the urgent need for predictive approaches to bridge this critical gap. In recent years, machine learning-a... read more