AI Medical Compendium

Development and Validation of An Interpretable Machine Learning-Based Prediction Model of Postpartum Hemorrhage in Placenta Previa Following Cesarean Section: A Multicenter Study.

Reproductive sciences (Thousand Oaks, Calif.) Aug 12, 2025

The objective of this study is to predict the occurrence of postpartum hemorrhage in women with placenta previa based on machine learning. This retrospective study enrolled 845 singleton pregnant patients with placenta previa from two hospitals. They... read more

Synergizing Machine Learning with High-Throughput DFT to Design Efficient Single-Atom Catalysts for Hydrogen Evolution Reaction.

Small methods Aug 12, 2025

The development of efficient single-atom catalysts (SACs) for electrocatalytic hydrogen evolution (HER) has garnered significant attention within the scientific community. However, the extensive scope of material experimentation, coupled with high re... read more

Comparative analysis of tumor and mesorectum radiomics in predicting neoadjuvant chemoradiotherapy response in locally advanced rectal cancer.

Diagnostic and interventional radiology (Ankara, Turkey) Aug 12, 2025

PURPOSE: Neoadjuvant chemoradiotherapy (CRT) is known to increase sphincter preservation rates and decrease the risk of postoperative recurrence in patients with locally advanced rectal tumors. However, the response to CRT in patients with locally ad... read more

[Surgical management of giant hemangiomas in the caudate lobe: an overview on the intraoperative management and role of artificial intelligence (AI) in improvement of the surgical results].

Chirurgie (Heidelberg, Germany) Aug 12, 2025

The treatment of giant hemangiomas of the caudate lobe remains a major challenge due to the complex anatomy and the proximity of the caudate lobe to important vascular structures. Recent progress in the field of artificial intelligence (AI) has intro... read more

Robust prediction of tool-tissue interaction force using ISSA-optimized BP neural networks in robotic surgery.

BMC surgery Aug 12, 2025

Current imaging applications, radiomics, and machine learning modalities of CNS demyelinating disorders and its mimickers.

Journal of neurology Aug 12, 2025

Distinguishing among neuroinflammatory demyelinating diseases of the central nervous system can present a significant diagnostic challenge due to substantial overlap in clinical presentations and imaging features. Collaboration between specialists, n... read more

Humans Machine Learning Radiomics Magnetic Resonance Imaging Diagnosis, Differential Neuroimaging Demyelinating Autoimmune Diseases, CNS

CRCFound: A Colorectal Cancer CT Image Foundation Model Based on Self-Supervised Learning.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Aug 12, 2025

Accurate risk stratification is crucial for determining the optimal treatment plan for patients with colorectal cancer (CRC). However, existing deep learning models perform poorly in the preoperative diagnosis of CRC and exhibit limited generalizabil... read more

Identification of small-molecule inhibitors for GluN1/GluN3A NMDA receptors via a multiscale CNN-based prediction model.

Acta pharmacologica Sinica Aug 12, 2025

N-methyl-D-aspartate receptors (NMDARs) are critical mediators of excitatory neurotransmission and are composed of seven subunits (GluN1, GluN2A-D, and GluN3A-B) that form diverse receptor subtypes. While GluN1/GluN2 subtypes have been extensively ch... read more

Genetic architecture of bone marrow fat fraction implies its involvement in osteoporosis risk.

Nature communications Aug 12, 2025

Bone marrow adipose tissue, as a distinct adipose subtype, has been implicated in the pathophysiology of skeletal, metabolic, and hematopoietic disorders. To identify its underlying genetic factors, we utilized a deep learning algorithm capable of qu... read more

Unraveling sperm kinematic heterogeneity with machine learning.

Asian journal of andrology Aug 12, 2025

The management of data from computer-aided sperm analysis (CASA) systems is crucial for understanding sperm motility. CASA systems generate motility parameters derived from tracking individual sperm cells, producing raw data as spermatozoa coordinate... read more

Artificial Intelligence Medical Compendium