Tailoring cancer treatment to the primary tumor site is essential for optimal outcomes, yet identifying the source of metastasis remains a significant clinical challenge. The primary tumor location influences not only the choice of treatment but also... read more
Predicting the interactions between piRNA sequences and mRNA sequences is central to understanding post-transcriptional regulation in the germline and to the design of perturbations that modulate PIWI (P-element-induced wimpy testis) guided silencing... read more
In this cross-sectional observational study, we developed a computer vision-based machine-learning model to estimate headache pain intensity from facial action units (AUs) and evaluated its association with self-reported pain. Facial videos were obta... read more
BACKGROUND: Implant-based reconstruction failure remains a significant complication following breast reconstruction, with substantial implications for patient outcomes. Reliable preoperative risk prediction tools are lacking. METHODS: A retrospective... read more
AIM: Aim to use an artificial intelligence (AI) approach to automatically measure the marginal reflex distance 1 (MRD1), corneal exposure rate (CER) and percentage of overlapping curvatures (POC) to assess symmetry in patients with mild to moderate b... read more
This paper presents an intelligent coordination strategy for enhancing the dynamic performance of doubly-fed induction generator (DFIG)-based wind energy systems through real-time reactive power optimization using Twin Delayed Deep Deterministic Poli... read more
If premature rupture of fetal membranes (PROM) can be forecasted, doctors can formulate individualized medical treatment plans and optimize the utilization efficiency of unevenly distributed medical resources in China to lower the odds of PROM, prete... read more
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.