Artificial Intelligence Medical Compendium

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

Showing 38,461 to 38,470 of 223,469 articles

Developing AI-Powered Virtual Patient Chatbots for Diagnostic Reasoning Training.

Academic medicine : journal of the Association of American Medical Colleges
PROBLEM: Diagnostic reasoning, the cognitive process of interpreting clinical information to arrive at a diagnosis, is a critical competency in medical education, and has been taught using authentic methods such as standardized patients and peer role... read more 

FDS-CAP: Modeling Fragmented Disease Subgraphs with Component-Level Attention for Comorbidity Prediction.

Journal of computational biology : a journal of computational molecular cell biology
Understanding comorbidity between human diseases is essential for uncovering shared pathophysiological mechanisms and improving diagnostic and therapeutic strategies. Although prior studies have investigated genetic and network-based disease associat... read more 

Performance of clinical breast cancer risk prediction models versus a mammography-based artificial intelligence risk model.

Journal of the National Cancer Institute
BACKGROUND: Artificial intelligence (AI) -based, mammography breast cancer (bc) risk prediction models show improved discriminatory accuracy relative to clinical risk models. However, data on their calibration are limited. This study compared model p... read more 

Technical Description of the Mini Far-Lateral Approach: A Refined, Stability-Preserving Corridor to the Petroclival Region.

Operative neurosurgery (Hagerstown, Md.)
BACKGROUND AND OBJECTIVES: The far-lateral approach remains essential for accessing ventral and ventrolateral lesions of the craniovertebral junction. However, traditional exposures may involve extensive condylar drilling and muscle dissection, which... read more 

Evaluating the Performance of Mobile Machine-Learning Platforms for Syphilis Symptom Screening.

Sexually transmitted diseases
We evaluated the performance of three machine-learning models for classifying 39 cases of primary and secondary syphilis using associated meta-data and clinical images. All three models correctly classified 33 images, with an overall precent agreemen... read more 

A Two-Module Parallel Dual-Domain Network for interior tomography reconstruction.

Journal of X-ray science and technology
BackgroundInterior tomography is a crucial technique in computed tomography (CT) that aims to minimize radiation exposure by limiting X-ray imaging to the region of interest (ROI) while maintaining diagnostic accuracy. However, traditional reconstruc... read more 

Artificial Intelligence-Derived Emotionality State Score Correlates with Layperson Assessment and Objective Measurements in Facial Paralysis.

Plastic and reconstructive surgery
BACKGROUND: There is growing interest in using artificial intelligence (AI) to track the outcomes of patients with facial paralysis (FP). However, validation studies of the AI output with other outcome measurements are still scarce in the literature.... read more 

Integrating Molecular Dynamics and Deep Learning to Elucidate Conformational Plasticity Underlying the Reduced Activity of Glycocin F.

The journal of physical chemistry. B
The escalating crisis of multidrug-resistant bacteria demands a new generation of antibiotics. Glycocin F (GccF), a potent bacteriocin, is a promising candidate, but its function hinges on unique post-translational glycosylation. Intriguingly, a seem... read more 

Decoding structural fingerprints to elucidate the mechanism of action of anti-apoptotic protein Mcl-1.

SAR and QSAR in environmental research
Overexpression of myeloid cell leukaemia-1 (Mcl-1) is commonly observed in numerous haematological malignancies and solid tumours, where it contributes to tumour progression, poor prognosis, and resistance to chemotherapy. Previous computational stud... read more