Current OCR systems are based on deep learning models trained on large
amounts of data. Although they have shown some ability to generalize to unseen
data, especially in detection tasks, they can struggle with recognizing
low-quality data. This is ... read more
BACKGROUND: Sarcopenia is associated with adverse outcomes in patients with end-stage heart failure. Muscle mass can be quantified via manual segmentation of computed tomography images, but this approach is time-consuming and subject to interobserver... read more
With the emergence of e-commerce, the recommendations provided by commercial
platforms must adapt to diverse scenarios to accommodate users' varying
shopping preferences. Current methods typically use a unified framework to
offer personalized recom... read more
Zhonghua wai ke za zhi [Chinese journal of surgery]
Aug 20, 2025
To explore the clinical application value of artificial intelligence models in identifying bleeding events and hemorrhagic points during laparoscopic pancreatic surgery. This single-center retrospective cohort study collected surgical videos of 25 ... read more
Zhonghua wai ke za zhi [Chinese journal of surgery]
Aug 20, 2025
To develop a preoperative differentiation model for colorectal mucinous adenocarcinoma and non-mucinous adenocarcinoma using a combination of contrast-enhanced CT radiomics and deep learning methods. This is a retrospective case series study. Clini... read more
Cyber-Physical Systems (CPS) are complex systems that require powerful models
for tasks like verification, diagnosis, or debugging. Often, suitable models
are not available and manual extraction is difficult. Data-driven approaches
then provide a s... read more
Journal of midwifery & women's health
Aug 20, 2025
The International Confederation of Midwives Essential Competencies and the American College of Nurse-Midwives Core Competencies for Basic Midwifery Practice include essential skills needed for safe entry-level practice and provision of person-centere... read more
Nowadays, Y chromosome short tandem repeats (Y-STRs) are widely used in forensic medicine practice, which has great significance for ancestry tracing, male lineage evolution, and male paternal relatives. Rapidly mutating Y-STRs (RM Y-STRs) have been ... read more
Multimodal systems, which process multiple input types such as text, audio,
and images, are becoming increasingly prevalent in software systems, enabled by
the huge advancements in Machine Learning. This triggers the need to easily
define the requi... read more
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.