📄 Category

medicine

5683 papers

📄 medicine

Deep Learning for Microsatellite Instability Prediction in Gastrointestinal Cancer via Multi-Scale Attention and Gated Cross-Layer Fusion

This study introduces ResNet-CLAC, a novel deep learning framework incorporating multi-scale attention and gated cross-layer fusion, which achieves state-of-the-art accuracy in predicting microsatellite instability from gastrointestinal cancer histology slides, offering a cost-effective and interpretable alternative to traditional diagnostic methods.

Zhoulan Pan, Boyuan Shi, Hanjin Yang, Zhengrong Mao2026-07-03
📄 medicine

Immediate postnatal cardiac surgery versus conventional neonatal cardiac surgery for critical congenital heart disease: a propensity score-matched cohort study

This propensity score-matched cohort study found that immediate postnatal cardiac surgery for selected neonates with critical congenital heart disease is feasible and does not increase perioperative risks compared to conventional neonatal surgery, while potentially reducing the rate of post-discharge unplanned reinterventions.

Weiran Duan, Qiang Wang, Gang Li, Han Zhang, Zhiying Song2026-07-03
📄 medicine

Postoperative Complications and Hospital Costs Following Elective and Emergency Colon Cancer Surgery: A Clavien-Dindo Grade-Specific Cost Analysis

This study demonstrates that postoperative complication severity is a major driver of hospital costs following colon cancer surgery, with emergency procedures incurring significantly higher expenses than elective ones across all complication grades, particularly for severe (Clavien-Dindo Grade IV) complications.

Sandra Bech-Larsen, Tomas V edin, Jenny Engdahl, Astrid Öberg, Stefan Öberg2026-07-03
📄 medicine

A Pilot Study of an Interpretable Machine Learning Model for Fetal Birth Weight Estimation: Standardizing Accuracy Across Sonographer Experience

This pilot study demonstrates that an interpretable 30-feature Ridge regression model, trained on leakage-free data, significantly improves fetal birth weight prediction accuracy and standardizes performance across sonographers of varying experience levels compared to the traditional Hadlock 4 formula.

Qiaoqian Chen, Kai Wang, Yufang Ye, Peiwen Wang, Lifang Ge, Zhengping Wang, Guilong Jin2026-07-03
📄 medicine

The impact of educational intervention based on Cognitive-Behavioral Therapy on fear of childbirth in pregnant women; a quasi-experimental intervention study

This quasi-experimental study conducted in Qom, Iran, demonstrates that an eight-session cognitive-behavioral therapy educational program significantly reduced fear of childbirth and improved knowledge and attitudes among pregnant women compared to those receiving routine prenatal care.

Siamak Mohebi, Ehsan Vesali-Monfared, Abolfazl Mohammadbeigi, Bentolhoda Kolahkaj, Maryam Yousefi, Ashraf Khoramirad2026-07-03
📄 medicine

DNA-Inspired Symbolic Encoding with Adaptive Block-level Hybrid CGR-FCGR Features for Osteoporosis Progression Detection

This paper proposes a novel framework for osteoporosis screening using plain radiographs that combines entropy-guided adaptive block division, DNA-inspired symbolic encoding with CGR/FCGR features, and a hybrid HTGCA-Net deep learning model to achieve high accuracy in both binary and multiclass classification tasks.

Lipika Dinda, Jitesh Pradhan, Manish Raj, Tapan Kumar Dey2026-07-03
📄 medicine

Neutrophil-to-Lymphocyte Ratio and Mean Platelet Volume in Relation to Pressure Ulcer Stages in a Palliative Care Unit: A Retrospective Single-Center Study

This retrospective study of non-oncological palliative inpatients found that admission neutrophil-to-lymphocyte ratio and mean platelet volume were not independently associated with pressure ulcer presence or stage, a null result attributed to the confounding effect of pre-existing chronic wounds in a referral-based setting and highlighting clinical risk scores as the primary actionable correlates.

Mustafa Gökhan Bayram, Dinçer Fırat Şeker2026-07-03
📄 medicine

Implementation and effectiveness of a telemedicine platform among patients with rare diseases and their caregivers: A non-randomized controlled study

This non-randomized controlled study found that while a telemedicine platform for rare disease patients and caregivers did not significantly improve quality of life or depression compared to in-person care, it substantially increased treatment satisfaction and reduced healthcare costs, despite facing technical and administrative implementation barriers.

Youngshin Joo, Jisoo Baek, Jong-Hee Chae, Soo Yeon Kim, Seungbok Lee, Young Jin Kwon2026-07-03
📄 medicine

Clinical Characteristics and Predisposing Factors in Candida auris Infection: A Retrospective Analysis

This retrospective study of eight immunocompromised patients in Jiangxi Province characterizes *Candida auris* infections as occurring predominantly in individuals with invasive procedures and prior broad-spectrum antibiotic exposure, often co-occurring with Gram-negative bacilli and associated with poor outcomes despite antifungal treatment.

Qingqing Xu, Jing Li, Huaming Guo, Minyu Liu, Xia Chen, Jiaxin Tu, Ling Zeng, Xiu-Hua Kang2026-07-03