Artificial Intelligence Medical Compendium

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

Showing 72,241 to 72,250 of 235,116 articles

NMR-based deep learning classification of raw cow's milk samples in different stages of mastitis.

Journal of the science of food and agriculture
BACKGROUND: Bovine mastitis is an inflammation of the mammary glands, usually caused by various pathogenic bacteria combined with glandular tissue injury of the cow's udder. Mastitis significantly affects the milk composition, since it changes the pr... read more 

In Silico Characterization of Bromo-DragonFLY Binding to the 5-HT2A Receptor: Molecular Insights Into a Potent Designer Psychedelic.

Proteins
Bromo-DragonFLY (BDF), a potent designer psychedelic drug with hallucinogenic properties, has recently emerged as a significant recreational substance. Named for its dragonfly-like molecular structure, BDF induces prolonged psychedelic effects, with ... read more 

Global Trends and Emerging Themes in Tele-Ophthalmology Research: A Bibliometric Analysis (1993 to 2024).

Seminars in ophthalmology
BACKGROUND: Tele-ophthalmology is transforming eye care delivery, particularly in remote and underserved areas, where specialist shortages and geographic barriers prevent millions from receiving timely diagnosis and treatment for preventable blindnes... read more 

U-net-based segmentation of foreign bodies and ghost images in panoramic radiographs.

Oral radiology
OBJECTIVES: This study aimed to develop and evaluate a deep convolutional neural network (CNN) model for the automatic segmentation of foreign bodies and ghost images in panoramic radiographs (PRs), which can complicate diagnostic interpretation. MET... read more 

A deep neuro-fuzzy framework for speech emotion recognition.

Computer methods in biomechanics and biomedical engineering
Speech Emotion Recognition (SER) is crucial in fields like healthcare and education, requiring robust techniques for accurate emotion detection. This paper proposes a deep neuro-fuzzy framework combining Deep Neural Networks (DNN) and Adaptive Neuro-... read more 

Artificial intelligence-assisted PET imaging for predicting neoadjuvant chemotherapy response in breast cancer: a systematic review and meta-analysis.

European journal of nuclear medicine and molecular imaging
PURPOSE: This study aims to evaluate the performance of artificial intelligence (AI)-assisted PET imaging in predicting neoadjuvant chemotherapy (NAC) response in breast cancer patients. METHODS: The Ovid MEDLINE, Ovid Embase, Cochrane, Web of Scienc... read more 

Habitat-aware radiomics and adaptive 2.5D deep learning predict treatment response and long-term survival in ESCC patients undergoing neoadjuvant chemoimmunotherapy.

European journal of nuclear medicine and molecular imaging
PURPOSE: Current radiomic approaches inadequately resolve spatial intratumoral heterogeneity (ITH) in esophageal squamous cell carcinoma (ESCC), limiting neoadjuvant chemoimmunotherapy (NACI) response prediction. We propose an interpretable multimoda... read more 

AI-Powered Case-Based Approach for Real-World Experiences of Student Interaction and Assessment of Interview Skills.

Journal, physical therapy education
This EduGraphic showcases AI-Powered Case-Based Approach for Real-World Experience (AI-CARE) simulating physical therapy patient interviews and assessing student communication skills. It addresses role-playing limitations using AI virtual patients. T... read more 

Current State-of-the-Art 3D MRI Sequences for Assessing Bone Morphology with Emphasis on Cranial and Spinal Imaging: A Narrative Review.

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin
Traditionally, CT has been the go-to method for visualizing bone structures, while MRI has been preferred for assessing soft tissues, because structures containing tightly bound water molecules - such as bones, tendons, cartilage, and ligaments - pro... read more