AI Medical Compendium

Diagnostic performance of ultrasound S-Detect technology in evaluating BI-RADS-4 breast nodules ≤ 20 mm and > 20 mm.

BMC cancer Aug 12, 2025

BACKGROUND: This study aimed to explore the diagnostic performance of ultrasound S-Detect in differentiating Breast Imaging-Reporting and Data System (BI-RADS) 4 breast nodules ≤ 20 mm and > 20 mm. read more

Screening, Validation, and Machine Learning-Based Evaluation of Serum Protein Biomarkers for Esophageal Squamous Cell Carcinoma Based on Single-Cell Subtype-Specific Genes.

Journal of proteome research Aug 12, 2025

Cellular heterogeneity of epithelial cells and fibroblasts is critical in esophageal squamous cell carcinoma development (ESCC). Identifying dysregulated subtype-specific genes in these cells is essential for early diagnosis and treatment. In this st... read more

A Deep-Learned Monolithic Nanoparticle Asymmetric Thermal Flow Sensor for Flow Vector Estimation.

ACS nano Aug 12, 2025

Flow sensing is essential in various fields, including industrial, environmental, and biomedical applications, where accurate measurement of fluid dynamics is crucial. Traditional flow sensors are often bulky and complex, which can distort the flow a... 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

DualNetM: an adaptive dual network framework for inferring functional-oriented markers.

BMC biology Aug 12, 2025

BACKGROUND: Understanding how genes regulate each other in cells is crucial for determining cell identity and development, and single-cell sequencing technologies facilitate such research through gene regulatory networks (GRNs). However, identifying ... read more

Micro-spring force sensors using conductive photosensitive resin fabricated via two-photon polymerization.

Microsystems & nanoengineering Aug 12, 2025

The rapid miniaturization of electronic devices has fueled unprecedented demand for flexible, high-performance sensors across fields ranging from medical devices to robotics. Despite advances in fabrication techniques, the development of micro- and n... read more

Machine Learning for Enhanced Identification Probability in RPLC/HRMS Nontargeted Workflows.

Analytical chemistry Aug 12, 2025

In HRMS-based nontargeted analysis (NTA), spectral matching is crucial for chemical identification, particularly in the absence of retention information. This study introduces class probability of true positives (()) as an innovative approach, levera... read more

Enhanced residual-attention deep neural network for disease classification in maize leaf images.

Scientific reports Aug 12, 2025

Disease classification in maize plant is necessary for immediate treatment to enhance agricultural production and assure global food sustainability. Recent advancements in deep learning, specifically convolutional neural networks, have shown outstand... read more

Neural Networks, Computer Reproducibility of Results Deep Learning Image Processing, Computer-Assisted Plant Leaves Zea mays Plant Diseases

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

Cognitive Phenotyping of Parkinson's Disease Patients Via Digital Analysis of Spoken Word Properties.

Movement disorders : official journal of the Movement Disorder Society Aug 12, 2025

BACKGROUND: Cognitive symptoms are highly prevalent in Parkinson's disease (PD), often manifesting as mild cognitive impairment (MCI). Yet, their detection and characterization remain suboptimal because standard approaches rely on subjective impressi... read more

Artificial Intelligence Medical Compendium