AI Medical Compendium

Artificial intelligence's impact on oral healthcare in terms of clinical outcomes: a bibliometric analysis.

Journal of health organization and management Sep 2, 2026

PURPOSE: This study provides a comprehensive overview of the impact of artificial intelligence (AI) applications on oral healthcare, focusing on clinical outcomes. DESIGN/METHODOLOGY/APPROACH: A systematic approach was used to gather articles from da... read more

Assessing AI literacy and attitudes among medical students: implications for integration into healthcare practice.

Journal of health organization and management Sep 2, 2026

PURPOSE: This study aims to assess AI literacy and attitudes among medical students and explore their implications for integrating AI into healthcare practice. DESIGN/METHODOLOGY/APPROACH: A quantitative research design was employed to comprehensivel... read more

A novel use of AI for prediction of clinical deterioration in a post-acute hospital.

npj health systems Sep 2, 2026

There is a growing literature on the prediction of risk of deterioration in hospital settings, including by leveraging artificial intelligence (AI) models. However, this literature has focused on acute-care hospitals, rather than post-acute facilitie... read more

The Bureaucracy Will Not Automate Itself: Why Physicians Should Lead the Inauguration of Artificial Intelligence in Healthcare Administration.

AJR. American journal of roentgenology Sep 2, 2026

Comparison of Pleomorphic Dermal Sarcoma to Advanced Cutaneous Squamous Cell Carcinoma and Soft-Tissue Sarcoma.

JAMA dermatology Sep 2, 2026

IMPORTANCE: Pleomorphic dermal sarcomas (PDSs) are classified as sarcomas; however, they share features with cutaneous carcinomas, such as presentation on sun-exposed areas and high tumor mutational burden (TMB). Data regarding management of PDS are ... read more

A machine learning-assisted colorimetric platform based on a Cu-doped carbon dot nanozyme for sensitive detection of N-acetylcysteine in serum.

Analytical methods : advancing methods and applications Sep 2, 2026

N-Acetylcysteine (NAC), a thiol-containing mucolytic agent for COPD, exhibits significant pharmacokinetic variability among patients, motivating the need for convenient therapeutic monitoring. Herein, a colorimetric platform based on copper-doped chi... read more

Unsupervised machine learning with Cluster Analysis in patients with rheumatoid arthritis: insights in CV risk phenotypes from a multicentre Italian cohort.

Internal and emergency medicine Sep 2, 2026

Rheumatoid arthritis (RA) patients face increased cardiovascular (CV) risk, yet existing 10-year estimation tools often underperform. This study evaluated whether unsupervised machine learning (uML) clustering can identify distinct RA patient phenoty... read more

Integration of network pharmacology, molecular docking, and molecular dynamics simulation to elucidate the mechanism of Psychotria rubra in depression treatment.

Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society Sep 2, 2026

Depression is a chronic mental disorder with high disability and mortality rates, affecting approximately 95 million individuals in China alone. The limitations of current antidepressant therapies, including restricted efficacy, delayed onset, and si... read more

Three New Transformer-based Scientific Validated Paradigms for Classification of Hypertrophic Cardiomyopathy and Acute Myocardial Infarction Patients Using Transcriptomic Gene Data on GPU cluster.

IEEE journal of biomedical and health informatics Sep 2, 2026

BACKGROUND AND MOTIVATION: Classification of transcriptomic gene data is essential for Cardiovascular disease (CVD) risk, particularly in Hypertrophic Cardiomyopathy (HCM) and Acute Myocardial Infarction (AMI) patients. Existing approaches suffer fro... read more

SEVMALrisk: An Externally Validated Clinical Risk Score for Early Risk Stratification of Severe Imported Malaria.

Journal of travel medicine Sep 2, 2026

BACKGROUND: Early recognition of severe imported malaria is essential because treatment decisions frequently need to be made before reliable parasite density measurements become available. Objective tools to support early risk stratification during t... read more

Artificial Intelligence Medical Compendium