AI Medical Compendium

Improved Prediction of Invasive Bacterial Infections in Febrile Infants Using Machine Learning.

Hospital pediatrics May 21, 2026

BACKGROUND: Existing guidelines for febrile infants aged 8 to 60 days use clinical appearance, age, and laboratory test results to assess the risk of invasive bacterial infections (IBIs) with variable performance. This study aimed to (1) develop and ... read more

A Simplified, Tier-Based Method for Clinical Evaluation of Diastolic Function.

European heart journal. Cardiovascular Imaging May 21, 2026

Assessment of left ventricular diastolic function is inherently complex, yet it must be sufficiently simplified for consistent application in clinical practice. Interpretation is challenged by overlapping terminology, load dependence of hemodynamic v... read more

End-user perspectives on the use of personal health information for AI development and the use of AI in care: an interview study.

Journal of primary health care May 21, 2026

INTRODUCTION: The rapid advancement of artificial intelligence (AI) in health care necessitates that decision-makers consider end-user views on secondary data use and the application of AI in clinical settings. AIM: The aim of this study was to explo... read more

Deep learning-driven performance prediction and design of high-DoF MEMS resonators.

Microsystems & nanoengineering May 21, 2026

The design of microelectromechanical systems (MEMS) resonators has long been hindered by high computational costs and restricted structural degrees of freedom. This study introduces a structural design framework based on a residual network-enabled so... read more

Immune Checkpoint Inhibitor-Associated Cardiovascular Toxicity: Mechanisms, Clinical Manifestations, and Clinical Impact.

Cardiovascular toxicology May 21, 2026

Immune checkpoint inhibitors (ICIs) represent a class of novel anticancer agents that enhance T cell-mediated recognition and elimination of tumor cells by inhibiting immune checkpoints such as CTLA-4 and PD-1/PD-L1. These therapeutics are widely emp... read more

Human Versus Nonhuman: Is There an App for That?

The American journal of forensic medicine and pathology May 21, 2026

Artificial Intelligence (AI) has rapidly become a widespread technology, with many forms being freely accessible to anyone with internet access. Recently there has been an influx of digital applications, or apps, that claim to utilize the power of ge... read more

A methodological framework for conducting diagnostic meta-analyses using large literature corpora.

BMC medical research methodology May 21, 2026

BACKGROUND: The exponential growth of biomedical literature challenges the feasibility, reproducibility, and bias control of diagnostic meta-analyses based on manual screening. METHODS: We propose a scalable framework integrating automated topic mode... read more

Cognitive differences and ethical concerns in artificial intelligence in healthcare: a comparative text mining study of public and healthcare professional discussions.

BMC medical ethics May 21, 2026

BACKGROUND: This study aims to investigate the cognitive differences and ethical concerns regarding artificial intelligence in healthcare between the public and healthcare professionals and to provide empirical evidence for ethical governance and ris... read more

Ethical engagement with artificial intelligence in faculty research education: evaluation of the New Knowledge Help (NKH) approach.

BMC medical education May 21, 2026

BACKGROUND: Artificial intelligence (AI) offers new opportunities in healthcare research; however, faculty often lack structured training on its effective and ethical use. Existing faculty development initiatives frequently emphasise tool awareness r... read more

Interpretable prediction of neonatal mortality and its key predictors using machine learning and SHAP analysis.

BMC medical informatics and decision making May 21, 2026

INTRODUCTION: Neonatal mortality is still a global public health concern, especially in lower- and middle-income countries like Ethiopia. Machine learning (ML) has shown excellent performance in healthcare prediction tasks due to its capability of ef... read more

Artificial Intelligence Medical Compendium