Artificial intelligence (AI) has emerged as a crucial technique for extracting high‑throughput
information from various sources, including medical images, pathological images, and …

Objective To describe the frequency of open science practices in a contemporary sample of
studies developing prognostic models using machine learning methods in the field of …

Simple Summary Osteosarcoma is a rare form of bone cancer that primarily affects children
and adolescents during their growth years. Known to be one of the most aggressive tumors …

As an important branch of artificial intelligence and machine learning, deep learning (DL)
has been widely used in various aspects of cancer auxiliary diagnosis, among which cancer …

Purpose The aim of this study was to established a dynamic nomogram for assessing the
risk of bone metastasis in patients with thyroid cancer (TC) and assist physicians to make …

Background Intracerebral hemorrhage (ICH) is one of the most serious complications in
patients with chronic kidney disease undergoing long-term hemodialysis. It has high …

Improving healthcare requires appropriate community involvement supported by appropriate
partner engagement methods. This research aims to develop a complex tool for evaluating …

Background Sarcopenia places a heavy healthcare burden on individuals and society.
Recognizing sarcopenia and intervening at an early stage is critical. However, there is no …

Objective The aim was to develop a predictive tool for anticipating postpartum endometritis
occurrences and to devise strategies for prevention and control. Methods Employing a …

Patient outcomes of osteosarcoma vary because of tumor heterogeneity and treatment
strategies. This study aimed to compare the performance of multiple machine learning (ML) …