| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
Adapting language models for mental health analysis on social media
|
Aragón, Mario Ezra
|
|
|
168 |
C |
p.
|
article
|
| 2 |
A generalized LLMs framework to support public health financing through probabilistic predictions and uncertainty quantification
|
Guariso, Daniele
|
|
|
168 |
C |
p.
|
article
|
| 3 |
AI-based methods for diagnosing and grading diabetic retinopathy: A comprehensive review
|
Saleh, Ibrahim
|
|
|
168 |
C |
p.
|
article
|
| 4 |
AI-based mining of biomedical literature: Applications for drug repurposing for the treatment of dementia
|
Sikirzhytskaya, Aliaksandra
|
|
|
168 |
C |
p.
|
article
|
| 5 |
AMOTS: Partially supervised framework for abdominal multi-organ and tumor segmentation via aspect-aware complementary
|
Zhang, Zengmin
|
|
|
168 |
C |
p.
|
article
|
| 6 |
ContraDTI: Improved drug–target interaction prediction via multi-view contrastive learning
|
Liao, Zhirui
|
|
|
168 |
C |
p.
|
article
|
| 7 |
DDintensity: Addressing imbalanced drug-drug interaction risk levels using pre-trained deep learning model embeddings
|
Xie, Weidun
|
|
|
168 |
C |
p.
|
article
|
| 8 |
Deep learning for automatic ICD coding: Review, opportunities and challenges
|
Li, Xiaobo
|
|
|
168 |
C |
p.
|
article
|
| 9 |
Editorial Board
|
|
|
|
168 |
C |
p.
|
article
|
| 10 |
HMEA: A hierarchical medical knowledge graph entity alignment model fusing multi-aspect information
|
Wang, Weiguang
|
|
|
168 |
C |
p.
|
article
|
| 11 |
Identifying signatures of image phenotypes to track treatment response in liver disease
|
Perkonigg, Matthias
|
|
|
168 |
C |
p.
|
article
|
| 12 |
IHE-Net:Hidden feature discrepancy fusion and triple consistency training for semi-supervised medical image segmentation
|
Ju, Mengyi
|
|
|
168 |
C |
p.
|
article
|
| 13 |
KGDB-DDI:Knowledge graph-based drug background data fusion model for drug–drug interaction prediction
|
Zhao, Changpeng
|
|
|
168 |
C |
p.
|
article
|
| 14 |
LLM-based approaches for automated vocabulary mapping between SIGTAP and OMOP CDM concepts
|
de Barros Vanzin, Vinícius João
|
|
|
168 |
C |
p.
|
article
|
| 15 |
Mapping the brain: AI-driven radiomic approaches to mental disorders
|
Moumgiakmas, Seraphim S.
|
|
|
168 |
C |
p.
|
article
|
| 16 |
Medical radiology report generation: A systematic review of current deep learning methods, trends, and future directions
|
Izhar, Amaan
|
|
|
168 |
C |
p.
|
article
|
| 17 |
[No title]
|
Jogo, Fransiskus Serfian
|
|
|
168 |
C |
p.
|
article
|
| 18 |
Ontology-based student testing through clinical guidelines: An AI approach
|
Bottrighi, Alessio
|
|
|
168 |
C |
p.
|
article
|
| 19 |
Reporting guideline for chatbot health advice studies: The CHART statement
|
Huo, Bright
|
|
|
168 |
C |
p.
|
article
|
| 20 |
The role of natural language processing in improving cancer care: A scoping review with narrative synthesis
|
Sun, Mengxuan
|
|
|
168 |
C |
p.
|
article
|
| 21 |
Toward fair medical advice: Addressing and mitigating bias in large language model-based healthcare applications
|
Lu, Haohui
|
|
|
168 |
C |
p.
|
article
|
| 22 |
Uncovering the genetic basis of glioblastoma heterogeneity through multimodal analysis of whole slide images and RNA sequencing data
|
Berjaoui, Ahmad
|
|
|
168 |
C |
p.
|
article
|
Journal description