日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

The sarcopenia artificial intelligence diagnostic decision support system (SAID DSS) - a multimodal deep learning model

肌少症人工智能诊断决策支持系统(SAID DSS)——一种多模态深度学习模型

Brockhattingen, Kristoffer Kittelmann; Karlsson, Emilie Helgesen; Bielefeldt, Tobias Bolvig Rasmussen; Naemi, Amin; Andersen-Ranberg, Karen; Moradbeiki, Pardis; Ebrahimi, Ali; Wiil, Uffe Kock

Editorial: mHealth and smartphone apps in patient follow-up

社论:移动医疗和智能手机应用程序在患者随访中的应用

Wiil, Uffe Kock

Explainable AI models for identifying anxiety and distress in cardiac patients with ICDs

用于识别植入式心脏复律除颤器(ICD)心脏病患者焦虑和痛苦的可解释人工智能模型

Ebrahimi, Ali; Eriksen, Jakob Bo Reinevald; Kølbæk, David Krogh; Pedersen, Jonas Mohr; Christensen, Ebbe Vincent Just; Skovbakke, Søren; Skov, Ole; Pedersen, Susanne Schmidt; Sorayaie Azar, Amir; Wiil, Uffe Kock

A Systematic Literature Review for Blockchain-Based Healthcare Implementations

基于区块链的医疗保健实施方案的系统性文献综述

Shaikh, Mutiullah; Memon, Shafique Ahmed; Ebrahimi, Ali; Wiil, Uffe Kock

The Accuracy of Self-Administered Web- and App-Based Tools for Audiometric Tests-A Systematic Review

自我管理式网络和应用程序听力测试工具的准确性——系统评价

Hassan, Sahuur Abdullahi Ahmed Sheikh; Wiil, Uffe Kock; Ebrahimi, Ali

Pulmonologists-level lung cancer detection based on standard blood test results and smoking status using an explainable machine learning approach

基于标准血液检测结果和吸烟状况,利用可解释的机器学习方法,实现肺科医生级别的肺癌检测

Flyckt, Ricco Noel Hansen; Sjodsholm, Louise; Henriksen, Margrethe Høstgaard Bang; Brasen, Claus Lohman; Ebrahimi, Ali; Hilberg, Ole; Hansen, Torben Frøstrup; Wiil, Uffe Kock; Jensen, Lars Henrik; Peimankar, Abdolrahman

Predicting patients' sentiments about medications using artificial intelligence techniques

利用人工智能技术预测患者对药物的感受

Sorayaie Azar, Amir; Babaei Rikan, Samin; Naemi, Amin; Bagherzadeh Mohasefi, Jamshid; Wiil, Uffe Kock

Survival prediction of glioblastoma patients using modern deep learning and machine learning techniques

利用现代深度学习和机器学习技术预测胶质母细胞瘤患者的生存期

Babaei Rikan, Samin; Sorayaie Azar, Amir; Naemi, Amin; Bagherzadeh Mohasefi, Jamshid; Pirnejad, Habibollah; Wiil, Uffe Kock

Energy Expenditure Prediction from Accelerometry Data Using Long Short-Term Memory Recurrent Neural Networks

基于长短期记忆循环神经网络的加速度计数据能量消耗预测

Vibæk, Martin; Peimankar, Abdolrahman; Wiil, Uffe Kock; Arvidsson, Daniel; Brønd, Jan Christian

Predicting stroke severity of patients using interpretable machine learning algorithms

利用可解释的机器学习算法预测中风患者的严重程度

Sorayaie Azar, Amir; Samimi, Tahereh; Tavassoli, Ghanbar; Naemi, Amin; Rahimi, Bahlol; Hadianfard, Zahra; Wiil, Uffe Kock; Nazarbaghi, Surena; Bagherzadeh Mohasefi, Jamshid; Lotfnezhad Afshar, Hadi