AI Medical Compendium

Incorporating Artificial Intelligence into Fracture Risk Assessment: Using Clinical Imaging to Predict the Unpredictable.

Endocrinology and metabolism (Seoul, Korea) Aug 4, 2025

Artificial intelligence (AI) is increasingly being explored as a complementary tool to traditional fracture risk assessment methods. Conventional approaches, such as bone mineral density measurement and established clinical risk calculators, provide ... read more

Predicting patient outcomes and risk for revision surgery after hip and knee replacement surgery: study protocol for a comparison of modelling approaches using the Swiss National Joint Registry (SIRIS).

Diagnostic and prognostic research Aug 4, 2025

BACKGROUND: Prediction of postoperative patient-reported outcomes and risk for revision surgery after total hip arthroplasty (THA) or total knee arthroplasty (TKA) can inform clinical decision-making, health resource allocation, and care planning. Ma... read more

Can Machine Learning Predict Metastatic Sites in Pancreatic Ductal Adenocarcinoma? A Radiomic Analysis.

Journal of imaging informatics in medicine Aug 4, 2025

Pancreatic ductal adenocarcinoma (PDAC) exhibits high metastatic potential, with distinct prognoses based on metastatic sites. Radiomics enables quantitative imaging analysis for predictive modeling. To evaluate the feasibility of radiomic models in ... read more

A computational eye state classification model using EEG signal based on data mining techniques: comparative analysis.

Physical and engineering sciences in medicine Aug 4, 2025

Artificial Intelligence has shown great promise in healthcare, particularly in non-invasive diagnostics using bio signals. This study focuses on classifying eye states (open or closed) using Electroencephalogram (EEG) signals captured via a 14-electr... read more

Deep Learning Reconstruction for T2 Weighted Turbo-Spin-Echo Imaging of the Pelvis: Prospective Comparison With Standard T2-Weighted TSE Imaging With Respect to Image Quality, Lesion Depiction, and Acquisition Time.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes Aug 4, 2025

PURPOSE: In pelvic MRI, Turbo Spin Echo (TSE) pulse sequences are used for T2-weighted imaging. However, its lengthy acquisition time increases the potential for artifacts. Deep learning (DL) reconstruction achieves reduced scan times without the deg... read more

Diagnostic systematic review and meta-analysis of machine learning in predicting biochemical recurrence of prostate cancer.

Scientific reports Aug 4, 2025

Prostate cancer (PCa) is the most prevalent malignant tumor in males, and many patients remain at risk of biochemical recurrence (BCR) following initial treatment. Accurate prediction of BCR is vital for effective clinical management and treatment pl... read more

Humans Machine Learning Prognosis Male Area Under Curve Prostatic Neoplasms Neoplasm Recurrence, Local

Expanding Domain-Specific Datasets with Stable Diffusion Generative Models for Simulating Myocardial Infarction.

International journal of neural systems Aug 4, 2025

Areas, such as the identification of human activity, have accelerated thanks to the immense development of artificial intelligence (AI). However, the lack of data is a major obstacle to even faster progress. This is particularly true in computer visi... read more

Novel artificial intelligence algorithm for soft tissue balancing and bone cuts in robotic total knee arthroplasty improves accuracy and surgical duration.

Arthroplasty (London, England) Aug 4, 2025

BACKGROUND: Robotic Total Knee Arthroplasty (rTKA) has become increasingly popular. Intraoperative manual planning of femur and tibia implant positions in all degrees of freedom to achieve surgeon-defined targets and limits of bone cuts, gaps, and al... read more

Retrospective evaluation of interval breast cancer screening mammograms by radiologists and AI.

European radiology Aug 4, 2025

OBJECTIVES: To determine whether an AI system can identify breast cancer risk in interval breast cancer (IBC) screening mammograms. read more

Impact of artificial intelligence assistance on bone scintigraphy diagnosis.