Artificial Intelligence Medical Compendium

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

Showing 44,891 to 44,900 of 224,055 articles

Public Perceptions of Artificial Intelligence in Medicine and Implications for Future Medical Education: A Cross-Sectional Survey.

JMIR formative research
BACKGROUND: The integration of artificial intelligence (AI) into clinical practice is contingent on public trust. This trust often depends on physician oversight, yet a significant gap exists between the need for AI-competent physicians and the curre... read more 

Using deep learning to predict the sex of human embryos.

Open biology
The existence of sex differences in human pre-implantation development remains an open question, with previous attempts based on human observations yielding inconclusive results. In this study, we combined manual annotation and deep learning analysis... read more 

Comparing Risk Prediction for Suicide Attempts and Deaths After Emergency Department Visits for Individuals With Mental Health Disorders.

The Journal of clinical psychiatry
Objective: To identify and compare predictors of nonfatal and fatal suicidal events within 180 days of emergency department (ED) visits for mental health disorders. Methods: This longitudinal cohort analysis assessed risk of nonfatal and fatal suicid... read more 

Biosensor-based diagnosis for infectious diseases: Nano-enabled revolution.

Microbial pathogenesis
Infectious diseases (IDs) pose a significant global health threat, exacerbated by the rise of multidrug-resistant (MDR) and antimicrobial-resistant (AMR) pathogens. The conventional diagnostic methods, such as culture characteristics, microscopical e... read more 

CTKGR: temporal knowledge graph enhanced prediction of in-hospital events for pneumonia patients using electronic health records.

Journal of biomedical informatics
OBJECTIVE: This study aims to develop an advanced clinical event prediction model leveraging the temporal characteristics embedded within electronic health record (EHR), with a specific focus on predicting clinical events during the hospitalization o... read more 

Carbon quantum dots exacerbate Parkinson's disease-like pathology through microglia-mediated neuroinflammatory responses with toxicological implications.

Chemico-biological interactions
The global burden of Parkinson's disease (PD) is projected to double by 2050, with early-onset cases demonstrating accelerated progression and limited therapeutic options. Recently, carbon quantum dots (CQDs) emerge as promising nanoplatforms for PD ... read more 

Non-contrast multimodal cardiac MRI for predicting coronary microvascular dysfunction in patients with hypertrophic cardiomyopathy.

Magnetic resonance imaging
OBJECTIVE: In hypertrophic cardiomyopathy (HCM), detection of coronary microcirculatory dysfunction (CMD) usually relies on contrast-enhanced cardiac magnetic resonance (CMR). This study sought to develop a practical non-contrast radiomics model to i... read more 

Response to Hu et al, "Impacts of AI scribing on premedical students".

Journal of the American Academy of Dermatology
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Pros of artificial intelligence in dermatology.

Journal of the American Academy of Dermatology
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