Artificial Intelligence Medical Compendium

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

Showing 43,231 to 43,240 of 223,853 articles

Incidence rate of and risk factors for anorectal diseases in primiparae in the first 6 weeks following delivery.

Journal of perinatal medicine
OBJECTIVES: We aimed to explore the incidence rate of and risk factors for anorectal diseases in primiparae in the first 6 weeks following delivery, and to establish a risk evaluation model for the early identification of high-risk groups and precise... read more 

[Discovery of multi-omics-based biomarkers for immune-related adverse events: precision management with 3D-SPACE].

Zhonghua yi xue za zhi
This article provides a systematic review of the advances in the precise diagnosis and management of immune-related adverse events (irAEs) induced by immune checkpoint inhibitors. IrAEs involve multiple organ systems, exhibit strong clinical heteroge... read more 

[The evolution of antimicrobial therapy for sepsis].

Zhonghua yi xue za zhi
Sepsis is a life-threatening organ dysfunction caused by a dysregulated host immune response to infection, representing a critical global public health challenge, its high incidence and mortality rates continue to pose severe challenges in critical c... read more 

Advancements in sperm selection and assessment: traditional to cutting-edge methods in assisted reproductive techniques - a narrative review.

Reproduction, fertility, and development
Infertility affects approximately 15% of couples globally, with male factors contributing to 20-70% of cases. These issues often stem from low sperm concentration, abnormal morphology, or poor motility, highlighting the critical importance of sperm s... read more 

A machine learning-based model to predict multi-time-point prognosis for acute-on-chronic hepatitis B liver failure.

iScience
Our prognostic model and mobile application enable multi-time-point prognostic evaluation for patients with acute-on-chronic hepatitis B liver failure, thereby improving patient care and facilitating clinical decision-making for liver transplantation... read more 

Glucose forecasting and hypoglycemia forewarning in type 1 and type 2 diabetes using deep learning.

iScience
Hypoglycemia is a major barrier to safe diabetes management. Although deep learning has been widely applied to blood glucose (BG) prediction, most studies provide limited hypoglycemia forewarning and are trained on small type 1 diabetes cohorts with ... read more 

Artificial intelligence-based prognostic models in acute myeloid leukemia: systematic review and meta-analysis.

Blood neoplasia
Machine learning and deep learning tools have been proposed to improve survival prediction in acute myeloid leukemia (AML), but comparative benchmarks remain unclear. PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 se... read more