Artificial Intelligence Medical Compendium

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

Showing 60,951 to 60,960 of 228,300 articles

A machine learning-driven Raman spectroscopy approach for non-invasive diagnosis of non-puerperal mastitis.

Analytical and bioanalytical chemistry
Early and rapid diagnosis of non-puerperal mastitis (NPM), as well as elucidation of its specific pathological features, is of important clinical and scientific value. Peripheral blood mononuclear cells (PBMCs), which are key mediators in the inflamm... read more 

Applications, attitudes and ethical considerations of Generative Artificial Intelligence (Gen AI) in nursing education: a scoping review.

BMC nursing
BACKGROUND: Generative Artificial Intelligence (Gen AI) is a type of artificial intelligence that can learn from and mimic large amounts of data to create content such as text, images, music, videos, code, and more, based on inputs or prompts. Gen AI... read more 

Artificial intelligence performance in maxillary canine impaction: a systematic review.

European journal of medical research
OBJECTIVES: This systematic review evaluates the literature to determine the usefulness and rules of artificial intelligence (AI) in the diagnosis and prediction of maxillary canine impaction (MCI). MATERIALS AND METHODS: The search was performed thr... read more 

Artificial intelligence in bladder cancer management: a narrative review of diagnostic and surgical advances and current limitations.

Expert review of anticancer therapy
INTRODUCTION: Bladder cancer (BC) is associated with high recurrence and progression rates that require intensive surveillance. In this context, Artificial Intelligence (AI) offers promising tools to enhance diagnostic, prognostic, and surgical pathw... read more 

Predicting the diabetic foot in patients with type 2 diabetes mellitus based on machine learning.

Biomedical engineering online
BACKGROUND: Diabetic foot (DF) is a severe complication of type 2 diabetes mellitus (T2DM), contributing to significant morbidity and healthcare costs globally. Early prediction and intervention are critical for preventing amputations and improving p... read more