Results 221 to 230 of about 42,977 (292)

Radiomics analysis of multiphase contrast-enhanced CT imaging for differentiating primary gastric lymphoma and Borrmann type IV gastric cancer. [PDF]

Eur J Radiol Open
Liu X, Chen XL, Zhang X, Pu H, Li H.
europepmc   +1 more source

Interpretable machine learning models based on CMR radiomics for predicting left ventricular diastolic dysfunction in patients with metabolic‐associated steatotic liver disease and type 2 diabetes mellitus

Journal of Diabetes Investigation, Volume 17, Issue 6, Page 1010-1023, June 2026.
We developed an interpretable machine learning (ML) model combining cardiac magnetic resonance (CMR) radiomics and clinical data to assess left ventricular diastolic dysfunction (LVDD) risk in metabolic‐associated steatotic liver disease (MASLD)/type 2 diabetes mellitus (T2DM) patients, enabling proactive treatment.
Jinying Xia, Shaoyi Leng, Bin Xu, Guang Jin, Jianhui Li, Mingchen Zhang, Danzhen Yao, Ruiting Shen, Qifeng Hua   +8 more
wiley   +1 more source

CT-based interpretable delta-radiomics model for risk stratification of pulmonary ground-glass nodules: a multicentre study. [PDF]

Insights Imaging
Ye Z, Miao Y, Wang P, Han Q, Gao J, Wang S, Ma Y, Wei X, Zhang H, Cheng K, Zhang B.   +10 more
europepmc   +1 more source

Artificial Intelligence in Medicine: Basic Knowledge, Applications, Ethics and Perspectives

Journal of Evaluation in Clinical Practice, Volume 32, Issue 4, June 2026.
ABSTRACT Background Artificial intelligence (AI) is rapidly transforming medicine through advanced diagnostic, prognostic, and decision‐support systems. Objective To summarize the fundamental concepts, clinical applications, ethical issues, and future perspectives of AI in healthcare.
Marco Cascella, Maria Teresa Avella, Marcello Di Pumpo, Enrico Sebastiani, Martino Bussa, Alessio Tagliaferri, Barbara Brunetti, Pierluigi Meloni, Elisa Bianchini, Paolo Graziani, Federico Faustini, Guido D'Onofrio, David Manetta, Cristina Angela Catania, Cristina Imbesi, Cesare Pane, Roberta Fusco, Vincenza Granata   +17 more
wiley   +1 more source

Microenvironment at a Distance: Multi-Endocrine-Organ Radiomics to Identify Systemic Signatures in PSMA-Negative Prostate Cancer. [PDF]

Cancers (Basel)
Abdollahi H, Harsini S, Yousefirizi F, Hatami B, Bénard F, Shariftabrizi A, Alberts I, Rahmim A.   +7 more
europepmc   +1 more source

Prognostic Value of Pathological Response After Conversion Therapy and Salvage Surgery in Unresectable Hepatocellular Carcinoma

Liver International, Volume 46, Issue 6, June 2026.
ABSTRACT Background and Aims To evaluate the prognostic significance of pathological response in patients with initially unresectable hepatocellular carcinoma (uHCC) who underwent salvage resection after successful conversion with lenvatinib, anti‐PD‐1 antibodies, and locoregional therapy (LPLRT).
Qi‐Yu Chi, Xiao‐Di Gao, Mi Wang, Quan‐Yuan Liu, Yong‐Yi Zeng, Lan‐Fang Yang, Zi‐Jian Liu, Shuang‐Jia Wang, Shan‐Geng Weng, Zhi‐Bo Zhang   +9 more
wiley   +1 more source

From Theory to Practice: Which Biomarkers Are Ready for Predicting Response in Advanced HCC?

Liver International, Volume 46, Issue 6, June 2026.
ABSTRACT Systemic therapies for advanced hepatocellular carcinoma (HCC) have expanded considerably with the advent of tyrosine kinase inhibitors, immune checkpoint inhibitors and immunotherapy–anti‐angiogenic combinations. However, despite this therapeutic diversification, first‐line treatment selection remains largely empirical, as few biomarkers are ...
Marie Decraecker, Jean‐Frédéric Blanc, Samuel Amintas, Grégoire Manaud   +3 more
wiley   +1 more source

Multiparametric MRI-based Deep Learning and Radiomics for Evaluating Lymph Node Metastasis in Early-Stage Cervical Cancer. [PDF]

Radiol Imaging Cancer
Bao YH, Xiao ML, Li YA, Ma FH, Chen Y, Lin ZJ, Wu JY, Zhang GF, Qiang JW.   +8 more
europepmc   +1 more source

Development and Validation of an AI‐Integrated System for Automated Fracture Detection and Pedicle Puncture Planning in Lumbar Osteoporotic Vertebral Compression Fractures Based on the Nine‐Grid Area Division Method

Orthopaedic Surgery, Volume 18, Issue 6, Page 1266-1277, June 2026.
This study developed a three‐module AI‐integrated software. Its effectiveness was verified, and it was confirmed to have certain transformation potential. ABSTRACT Objective The clinical application of the Nine‐grid Area Division Method for pedicle puncture in L‐OVCF is limited by high technical thresholds and low efficiency.
Weiyang Zuo, Yu Xie, Hai Meng, Dong Liu, Shuo Yuan, Jipeng Song, Xiaoda Lei, Xingyu Liu, Yafang Zhang, Lei Zang, Lixiang Ding, Lingyi Zhang, Qi Fei   +12 more
wiley   +1 more source