Artificial Intelligence Medical Compendium

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

Showing 49,081 to 49,090 of 224,513 articles

Scurvy, an enduring mimicker and diagnostic dilemma in adults: A review of the 280 relevant published cases in the twenty-first century.

Clinical nutrition (Edinburgh, Scotland)
BACKGROUND: Scurvy persists as a significant adult medical condition, frequently overlooked due to its mimicry of more common diseases. This review aims to analyse reported adult cases from the twenty-first century to characterize its current epidemi... read more 

Concurrent driver mutations induce distinct tumour morphologies on radiological imaging.

European journal of radiology
BACKGROUND: Most radiogenomic studies examine single driver mutations in isolation, despite evidence that co-occurring driver alterations are common and functionally interacting in cancer. Whether concurrent mutations produce distinct imaging phenoty... read more 

Artificial intelligence-based automated interpretation of images of electrocardiograms: development and multinational validation of ECG-GPT.

European heart journal. Digital health
AIMS: Timely, accurate assessment of electrocardiograms (ECGs) is crucial for diagnosing, triaging, and managing patients. However, this often relies on expert interpretation, a major bottleneck in low-resource settings. We developed and validated EC... read more 

In Situ Evaluation of Virtual Reality Simulation Usability and Learning in Nursing.

The Journal of nursing education
BACKGROUND: Virtual reality is increasingly applied in nursing education to enhance student readiness for patient care. This study evaluated the effects of a virtual reality patient simulation (VRPS) on nursing students' knowledge and preparedness fo... read more 

Discovery of potent ALK tyrosine kinase inhibitors for thyroid cancer via machine learning modeling, molecular docking, MD simulations, and DFT study.

Computational biology and chemistry
The ever-increasing need for effective therapeutic management of thyroid cancer (TC) necessitates the exploration of novel approaches for advanced drug discovery. The current study employed a robust computational pipeline integrating Machine Learning... read more 

Prediction of Symptomatic Radiation Pneumonitis in Lung Cancer Patients: A Radiomics and Dosiomics Machine Learning Approach Using the Prospective Multicenter RTOG 0617 and REQUITE Trials.

International journal of radiation oncology, biology, physics
PURPOSE: Radiation-induced pneumonitis (RP) is a side effect after thoracic radiation therapy (RT). The ability to predict RP would facilitate treatment modifications. This study investigates the predictive capacity for symptomatic RP (Common Termino... read more 

Evaluation of radiomics-based machine learning models for detection of cervical lymph node metastasis from oral cancer on PET images.

Journal of stomatology, oral and maxillofacial surgery
PURPOSE: In this study, we hypothesized that radiomics analysis applied to pre-treatment PET images would be more accurate in the detection of lymph node metastasis from oral squamous cell carcinoma than conventional methods based on SUVmax, SUVmean,... read more 

Automated multiclass bone segmentation using deep learning: implications for templating in radial head replacement.

Journal of shoulder and elbow surgery
BACKGROUND: Preoperative three-dimensional (3D) templating can improve surgical accuracy in anatomic-press-fit radial head arthroplasty (RHA). However, current imaging segmentation methods used for templating are time-consuming and prone to variabili... read more 

The value of artificial intelligence combined with multimodal data analysis in tumor immunotherapy and targeted therapy.

Biochimica et biophysica acta. Reviews on cancer
The advent of immunotherapy and targeted therapy has revolutionized oncology treatment in recent years, marking a transformative shift toward precision medicine. Artificial intelligence (AI) technology has played a pivotal role in tumor immunotherapy... read more 

Advancements in ex vivo bone biomechanics: multimodal technologies and their integration with artificial intelligence.

Methods (San Diego, Calif.)
Bone biomechanics is essential for understanding how bone structure, composition, and mechanical function interact in healthy and diseased states. Conventional approaches such as mechanical testing, micro computed tomography, and histology provide va... read more