Artificial Intelligence Medical Compendium

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

Showing 43,581 to 43,590 of 224,055 articles

Medical Student Experiences With ChatGPT: National Cross-Sectional Study.

JMIR formative research
BACKGROUND: Artificial intelligence (AI) is increasingly influencing medical student education, with AI-driven chatbots, such as ChatGPT, emerging as powerful study tools. While these technologies offer numerous benefits, they also pose challenges th... read more 

MML-DTI: Multimanifold Learning with Hyperbolic Graph Neural Networks for Enhanced Drug-Target Interaction Prediction.

Journal of chemical information and modeling
Accurately predicting drug-target interactions (DTIs) is crucial for drug discovery, repositioning. However, most deep learning-based DTI models are designed in Euclidean space, making it difficult to effectively represent the hierarchical and scale-... read more 

Analytical Methods for the Authentication of Ginger and Ginger Products: A Critical Review of Studies Between 2005 and 2024.

Critical reviews in analytical chemistry
Ginger (Zingiber officinale) and its derivatives are highly valued spices but are particularly vulnerable to economically driven adulteration. This critical review compiles and evaluates analytical studies between 2005 and 2024 addressing the authent... read more 

Multimodal Skin Disease Classification Using Vision Transformers, Medical Captioning, and Metadata Fusion: An Analysis on the ISIC 2024 Dataset.

Biomedical physics & engineering express
Skin cancer and dermatological diseases are among the most prevalent global health conditions, where early and accurate diagnosis is critical for improving patient outcomes. Although deep learning models have achieved strong performance in dermoscopi... read more 

Exploration and Performance Analysis of Deep Learning Applications in Spermatic Vein Ultrasound Segmentation.

Biomedical physics & engineering express
Varicocele is a common cause of male infertility, with ultrasound (US) serving as the primary diagnostic tool. Current practice relies on manual, subjective measurements of the spermatic vein, which are time-consuming and lack reproducibility. Develo... read more 

An Accurate Glucose Detection Platform Using Colorimetry and Supervised Learning Algorithms.

Biomedical physics & engineering express
Maintaining optimal health and preventing diabetes-related complications require accurate and timely monitoring of blood glucose levels. In this context, the present study develops an affordable, reliable, and precise Point-of-Care (POC) diagnostic p... read more 

Combined hepatocellular-cholangiocarcinoma: a contemporary pathologic and molecular perspective.

Journal of liver cancer
Combined hepatocellular cholangiocarcinoma (cHCC-CCA) is a rare primary liver carcinoma characterized by the unequivocal coexistence of hepatocytic and cholangiocytic differentiation within a single tumor. Despite its low incidence, cHCC-CCA has rece... read more 

Generative Artificial Intelligence Tools: Evaluating Ways to Automate Your SALT (GATEWAYS) Scoring of Alopecia Areata.

Pediatric dermatology
BACKGROUND: Alopecia areata (AA) is an autoimmune disease affecting hair follicles that results in nonscarring hair loss. AA impacts 0.1%-0.2% of the United States population, with pediatric patients accounting for 16.0%-27.7% of all cases. The Sever... read more 

Accelerated Spine Magnetic Resonance Imaging: Techniques and Practical Implementation for Routine Clinical Imaging.

Seminars in musculoskeletal radiology
Spine magnetic resonance imaging is among the most frequently performed examinations in clinical radiology and places substantial demands on workflow efficiency and image quality. Over the past 20 years, acquisition times have been markedly reduced t... read more 

Short-Term Perceptual Training Modulates Neural Responses to Deepfake Speech but Does Not Improve Behavioral Discrimination.

eNeuro
Rapid advancements in artificial intelligence (AI) have enabled text-to-speech (TTS) systems to produce voices increasingly indistinguishable from humans, posing significant societal risks, particularly through potential misuse in fraud and deception... read more