Artificial Intelligence Medical Compendium

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

Showing 55,731 to 55,740 of 226,731 articles

[Efficacy prediction of acupuncture and moxibustion combined with conventional treatment for PCOS-IR based on real-world data: machine learning and interpretability analysis].

Zhongguo zhen jiu = Chinese acupuncture & moxibustion
OBJECTIVE: To construct an efficacy prediction model for polycystic ovary syndrome with insulin resistance (PCOS-IR) treated with acupuncture and moxibustion combined with conventional treatment based on machine learning. METHODS: Data from two real-... read more 

On Hallucinations in Artificial Intelligence-Generated Content for Nuclear Medicine Imaging (the DREAM Report).

Journal of nuclear medicine : official publication, Society of Nuclear Medicine
Artificial intelligence-generated content (AIGC) has shown remarkable performance in nuclear medicine imaging (NMI), offering cost-effective software solutions for tasks such as image enhancement, motion correction, and attenuation correction. Howeve... read more 

Powering the future: advances, challenges, and sustainability of polymer electrolytes in lithium-sulfur batteries.

Nanoscale horizons
Lithium-sulfur (Li-S) batteries offer a transformative theoretical energy density (∼2600 Wh kg-1), positioning them as strong candidates for next-generation energy storage systems supporting the global shift toward renewable energy integration and el... read more 

Impact of nanoparticle morphologies on property prediction using explainable AI.

Nanoscale horizons
Every decision made during a machine learning pipeline has an impact on the outcome. Feature selection can reduce overfitting and focus models on the attributes that matter most, and sample selection can reduce bias to ensure models recognise pattern... read more 

Improving patient understanding of radiology reports using generative artificial intelligence: a vignette study of 2000 US adults.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: Patients value access to their medical reports on patient portals, but the terminology in those reports can cause confusion and anxiety. Can the artificial intelligence (AI) simplification of radiology reports into plain language improve ... read more 

Gaps in artificial intelligence research for rural health in the United States: a scoping review.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Artificial intelligence (AI) has impacted healthcare at urban and academic medical centers in the US. There are concerns, however, that the promise of AI may not be realized in rural communities. This scoping review aims to determine the e... read more 

Listening to the note: clinician perspectives on ambient artificial intelligence scribes in medical documentation.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: To qualitatively characterize barriers and facilitators to implementing and using an ambient scribe across a large academic medical center, as well as how ambient transcription reshapes clinicians' perceptions of their work. MATERIALS AND... read more 

Assessing genetic counseling efficiency with natural language processing.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: To build natural language processing (NLP) strategies to characterize measures of genetic counseling (GC) efficiency and classify measures according to phase of GC (pre- or post-genetic testing). MATERIALS AND METHODS: This study selected ... read more 

A novel, standardised approach to balancing effectiveness, efficiency and utility of surveillance AI prediction models for hospitalised patients using sepsis prediction as an exemplar.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: To introduce a novel, standardised approach to evaluating AI prediction models in balancing effectiveness, efficiency and utility, using a sepsis prediction model case study. MATERIALS AND METHODS: Retrospective patient data from electroni... read more