A new method combines artificial intelligence with a laser-based technique called Raman spectroscopy to distinguish between ...

AI offers promise in the realm of chronic disease management, including diabetes, obesity, and PCOS, but must be approached with caution.

Artificial intelligence that detects surgical site infections from patient-submitted photos with 73% accuracy could enhance ...

Researchers at The Hong Kong University of Science and Technology (HKUST) have developed a groundbreaking AI technology that ...

A Comparative Study of AI-Powered Chatbot for Health Care. Journal of Computer and Communications, 13, 48-66. doi: 10.4236/jcc.2025.137003 . The need for this research arises from the increasing ...

A research team has developed a diagnostic system that uses artificial intelligence (AI) to accurately identify the type of facial pigmented lesions and support laser treatment decisions. A paper ...

Google has released MedGemma, a pair of open-source generative AI models designed to support medical text and image understanding in healthcare applications. Based on the Gemma 3 architecture, the ...

Environmental images often contain mixed elements, such as forests bordering water bodies or urban areas with vegetation, which complicates the classification task. In this paper, we propose a novel ...

This paper 1 presents an innovative hybrid framework for medical image classification, combining Quantum Differential Evolution (QDE) with deep learning techniq ...

Keywords: medical image analysis, image classification, deep learning, Bi-LSTM, transformer Citation: Liu C, Wang W, Lian J and Jiao W (2025) Lesion classification and diabetic retinopathy grading by ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors.