Artificial Intelligence Medical Compendium

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

Showing 19,091 to 19,100 of 214,800 articles

Convolutional neural network analysis of cervical CT images: classification of Kikuchi disease, lymphoma, lymphadenitis, and tuberculosis.

Biomedical engineering online
BACKGROUND: Kikuchi disease, lymphoma, lymphadenitis, and tuberculosis are common diseases affecting the head and neck. The causes and treatment methods differ; however, the initial symptoms of these diseases (fever, pain, and neck swelling) are gene... read more 

The AI adoption paradox in Chinese medical education: a multi-institution cross-sectional study of usage patterns, critical literacy gaps, and adoption profiles among 3,194 undergraduate medical students.

BMC medical education
BACKGROUND: Artificial intelligence tools are widely used by Chinese medical students, yet systematic evidence on usage patterns, critical literacy gaps, and influencing factors remains limited, particularly from large-scale multi-institution studies... read more 

Bridging predictive reliability and explainability: a multi-representation deep learning framework for chemical space analysis of immune bioassays.

Journal of cheminformatics
Convergence of chemical and biological space into a unified decision space requires coordinated interactions across the triad- molecular representations, learning algorithms, and explainability. This study establishes a benchmarking framework for Vir... read more 

Tetrahedral framework nucleic acids as a promising vehicle for small molecule drugs of traditional Chinese medicine: application to disease prevention and treatment.

Journal of nanobiotechnology
The modernization of Traditional Chinese Medicine (TCM) faces considerable challenges, primarily due to the poor water solubility, low chemical stability, and limited oral bioavailability of its active components. These limitations hinder the transla... read more 

Knowledge, attitudes, and practices toward artificial intelligence in medicine among iranian physicians and medical students: a cross-sectional survey.

BMC research notes
BACKGROUND: Artificial intelligence (AI) is rapidly transforming healthcare worldwide, yet the readiness of physicians and medical students to adopt AI-particularly in low- and middle-income settings-remains insufficiently understood. Examining knowl... read more 

Prediction of postoperative desaturation and bradycardia in neonates undergoing laparoscopic inguinal hernia repair: a retrospective cohort study.

Anesthesia and pain medicine
BACKGROUND: Ex-premature infants have a high risk of postoperative apnea and bradycardia. This study aimed to develop a predictive model for postoperative desaturation and bradycardia in infants who underwent laparoscopic inguinal hernia repair (IHR)... read more 

Development and Validation of an AI-Integrated System for Automated Fracture Detection and Pedicle Puncture Planning in Lumbar Osteoporotic Vertebral Compression Fractures Based on the Nine-Grid Area Division Method.

Orthopaedic surgery
OBJECTIVE: The clinical application of the Nine-grid Area Division Method for pedicle puncture in L-OVCF is limited by high technical thresholds and low efficiency. This study aimed to develop an AI-integrated automated system for L-OVCF diagnosis an... read more 

From Trauma to Transmission: The Long Shadow of Childhood Abuse on Sexually Transmitted Infections.

Journal of interpersonal violence
Childhood abuse is increasingly recognized as a critical early-life stressor with enduring consequences for adult health. Although prior research has linked childhood maltreatment to adverse sexual health outcomes, the mechanisms underlying these ass... read more 

On the Prediction of pDNA Productivity Across Diverse Bioprocesses Using Ensemble Hybrid Models.

Biotechnology and bioengineering
The global demand for plasmid DNA (pDNA) is rapidly increasing due to its key role in the manufacture of mRNA vaccines and advanced therapy medicinal products (ATMPs). However, the reliance on suboptimal batch and/or fed-batch processes, as well as t... read more 

Squid-Inspired Multifunctional Retainable Magnetic Soft Robot: Foreign Body Transport and Transmucosal Drug Delivery in Complex Gastrointestinal Environments.

ACS applied materials & interfaces
Magnetically controlled soft microrobots, by virtue of their exceptional flexibility and noninvasiveness, exhibit immense potential in the field of minimally invasive diagnosis and treatment within complex physiological environments. However, existin... read more