本数据库通过收集和整理最新科研文献信息而得,供了解领域前沿进展之用。数据源自 PubMed Data ,每日自动更新(使用关键词“['deep learning']”过滤),已收录文献数量参见 统计表格。表格内容由 GPT 自动整理,可能存在错误或遗漏,请使用时务必注意核实!
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| 序号 | 推送日期 | 文章 | 类型 | 简述 | 创新点 | 不足 | 研究目的 | 研究对象 | 领域 | 病种 | 技术 | 模型 | 数据类型 | 样本量 | 算法框架 | 模型架构 | 性能指标 | 计算资源 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3721 | 2026-07-26 |
Clinically Interpretable Deep Learning for Differentiating Vitiligo and Postinflammatory Hypopigmentation: Diagnostic Accuracy Study
2026-Jul-24, JMIR medical informatics
IF:3.1Q2
DOI:10.2196/81942
PMID:42497363
|
NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| 3722 | 2026-07-26 |
UniPert-G2CP bridges genetic and chemical screens from molecular representation to phenotype modeling
2026-Jul-24, Cell
IF:45.5Q1
DOI:10.1016/j.cell.2026.06.005
PMID:42497867
|
NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| 3723 | 2026-07-26 |
Upwind terrestrial influences on soil moisture variability across South America
2026-Jul-24, Nature communications
IF:14.7Q1
DOI:10.1038/s41467-026-75637-x
PMID:42498716
|
NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| 3724 | 2026-07-26 |
A hybrid convolutional-transformer neural network model for photovoltaic fault detection and localization
2026-Jul-24, Scientific reports
IF:3.8Q1
DOI:10.1038/s41598-026-57859-7
PMID:42498772
|
NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| 3725 | 2026-07-26 |
Multi-component radiological model based on intratumoral CT threshold segmentation for predicting visceral pleural invasion in lung adenocarcinoma ≤ 30 mm
2026-Jul-24, Insights into imaging
IF:4.1Q1
DOI:10.1186/s13244-026-02351-z
PMID:42498861
|
NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| 3726 | 2026-07-26 |
Anisotropic permeability tensor prediction from porous media microstructure: A physics-informed MaxViT CNN-Transformer framework
2026-Jul-22, Neural networks : the official journal of the International Neural Network Society
IF:6.0Q1
DOI:10.1016/j.neunet.2026.109421
PMID:42497539
|
NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| 3727 | 2026-07-26 |
Deep Learning Parameter Estimation and Quantum Control of Single Molecules
2026-Jul-22, ACS physical chemistry Au
IF:3.7Q2
DOI:10.1021/acsphyschemau.6c00048
PMID:42500230
|
NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| 3728 | 2026-07-26 |
Cross-farm generalisation of machine and deep learning models for lameness prediction in multiparous dairy cows
2026-Jul-21, Preventive veterinary medicine
IF:2.2Q1
DOI:10.1016/j.prevetmed.2026.106965
PMID:42497679
|
NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| 3729 | 2026-07-26 |
Temporal germination of lettuce under salinity and nano-silicon: A high-throughput phenomics framework with deep learning
2026-Jul-20, Plant science : an international journal of experimental plant biology
IF:4.2Q1
DOI:10.1016/j.plantsci.2026.113330
PMID:42476464
|
NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| 3730 | 2026-07-18 |
Diagnostic performance of deep learning for automated mandibular canal segmentation on CBCT images: A systematic review and meta-analysis
2026-Jul-16, Journal of stomatology, oral and maxillofacial surgery
DOI:10.1016/j.jormas.2026.102901
PMID:42462969
|
系统综述与荟萃分析 | 评估深度学习在CBCT图像上自动分割下颌管的诊断性能、解剖定位准确性和时间效率,并与传统手动专家标注进行对比 | 首次系统评估并荟萃分析深度学习在下颌管分割中的诊断性能,发现基于Transformer的架构显著优于传统CNN,且自动分割节省18.7倍时间 | 研究间异质性可能影响结果,部分研究数据量有限,且未全面评估不同深度学习架构的泛化能力 | 评估深度学习自动分割下颌管的诊断性能、解剖定位准确性和时间效率 | 下颌管在CBCT图像上的自动分割 | 计算机视觉 | 口腔颌面疾病 | NA | 深度学习,包括Transformer和卷积神经网络 | CBCT图像 | 38项研究,超过8420个CBCT体积 | NA | Transformer, 卷积神经网络 | Dice相似系数, 平均对称表面距离, 处理时间 | NA |
| 3731 | 2026-07-26 |
Deep learning-based detection of acid-fast bacilli in microscopy images: a systematic review
2026-Jul-06, American journal of clinical pathology
IF:2.3Q2
DOI:10.1093/ajcp/aqag083
PMID:42497402
|
NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| 3732 | 2026-07-26 |
Evolution of CTCF binding sites in the human genome
2026-Jul-02, Molecular biology and evolution
IF:11.0Q1
DOI:10.1093/molbev/msag167
PMID:42412056
|
NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| 3733 | 2026-07-26 |
AI-guided identification of natural CTSL inhibitors with therapeutic potential for renal injury
2026-Jul, PLoS computational biology
IF:3.8Q1
DOI:10.1371/journal.pcbi.1014464
PMID:42430439
|
NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| 3734 | 2026-07-26 |
Identifying severe COVID-19 risk variants modulating enhancer reporter activity in lung cells
2026-Jul, PLoS genetics
IF:4.0Q1
DOI:10.1371/journal.pgen.1012222
PMID:42467704
|
NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| 3735 | 2026-07-26 |
Artificial intelligence in the emergency department-- applications, perceptions and limitations: a narrative review
2026-Jul-01, World journal of emergency medicine
IF:2.6Q1
|
NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| 3736 | 2026-07-26 |
A general data-driven framework for scalable electron tomography
2026-Jul, National science review
IF:16.3Q1
DOI:10.1093/nsr/nwag365
PMID:42500736
|
NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| 3737 | 2026-07-26 |
Smart molecular design of NIR-II organic fluorophores through self-driven iterative evolution, deep learning, and fragment-based assembly
2026-Jun-10, Smart molecules : open access
DOI:10.1002/smo2.70064
PMID:42500723
|
NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| 3738 | 2026-05-31 |
KRASG12V/A146T mutations are associated with nCRT resistance via enhanced DNA double-strand break repair and support a deep learning prediction framework in LARC
2026-May-28, Cellular & molecular biology letters
IF:9.2Q1
DOI:10.1186/s11658-026-00947-3
PMID:42210090
|
研究论文 | 鉴定KRAS G12V/A146T突变与局部晚期直肠癌新辅助放化疗耐药相关并构建多模态深度学习预测框架 | 首次将KRAS G12V/A146T突变与DNA双链断裂修复增强及nCRT耐药相关联,并开发整合基因组与病理全切片图像的多模态深度学习融合模型 | 单中心回顾性研究,突变携带者数量有限,无法进行多变量校正,模型需在更大规模多中心前瞻性队列中验证 | 识别与nCRT反应相关的分子事件并开发治疗前预测框架 | 局部晚期直肠癌(LARC)患者 | 数字病理学, 机器学习 | 直肠癌 | 全外显子测序(WES), 多组学分析, 功能性实验(细胞系与小鼠模型) | 多模态深度学习融合模型 | 全外显子测序数据, 组织病理全切片图像(WSI) | 89例患者(67例最初测序+22例已发表数据),106张WSI | PyTorch | 弱监督多模态融合框架 | AUC | NA |
| 3739 | 2026-03-13 |
Autoencoder-driven stride length estimation for individuals with Parkinson's disease using inertial measurement unit-embedded footwear
2026-05, Gait & posture
IF:2.2Q2
DOI:10.1016/j.gaitpost.2026.110126
PMID:41687573
|
研究论文 | 本研究开发了一种基于自编码器的深度学习模型,用于预测帕金森病患者的步长,使用鞋内嵌入的惯性测量单元数据 | 该模型无需显式步态分割即可估计步长,提高了对步态受损人群的适用性,并展示了在时间偏移下的鲁棒性 | 研究样本量较小(仅10名帕金森病患者),可能限制模型的泛化能力 | 开发一种无需显式步态分割的步长估计方法,以支持帕金森病患者的步态监测和疾病进展评估 | 帕金森病患者的步态数据 | 机器学习 | 帕金森病 | 惯性测量单元(IMU)数据采集 | 自编码器, 全连接回归网络 | 时间序列数据(三轴加速度和角速度) | 10名帕金森病患者 | NA | 自编码器, 全连接回归网络 | R², 一致性界限 | NA |
| 3740 | 2026-07-26 |
The transformative potential of artificial intelligence in pediatric medicine: Current applications, methodological challenges, and future directions
2026-May-01, Pediatric investigation
IF:1.9Q2
DOI:10.1002/ped4.70061
PMID:42499769
|
NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |