Artificial intelligence driven tumor risk stratification from single-cell transcriptomics using phenotype algebra by Namrata Bhattacharya, Anja Rockstroh, Sanket Suhas Deshpande, Sam Koshy Thomas, Anunay Yadav, Chitrita Goswami, Smriti Chawla, Pierre Solomon, Cynthia Fourgeux, Gaurav Ahuja, Brett Hollier, Himanshu Kumar, Antoine Roquilly, Jeremie Poschmann, Melanie Lehman, Colleen C Nelson, Debarka Sengupta

Get full text

AI in conjunctivitis research: assessing ChatGPT and DeepSeek for etiology, intervention, and citation integrity via hallucination rate analysis by Muhammad Hasnain, Khursheed Aurangzeb, Musaed Alhussein, Imran Ghani, Muhammad Hamza Mahmood

Get full text

Artificial intelligence-assisted clinical decision support for childhood asthma management: A randomized clinical trial. by Hee Yun Seol, Pragya Shrestha, Joy Fladager Muth, Chung-Il Wi, Sunghwan Sohn, Euijung Ryu, Miguel Park, Kathy Ihrke, Sungrim Moon, Katherine King, Philip Wheeler, Bijan Borah, James Moriarty, Jordan Rosedahl, Hongfang Liu, Deborah B McWilliams, Young J Juhn

“…Mean health care costs with 95%CI of children during the trial (compared to before the trial) in the intervention group were lower than those in the control group (-$1,036 [-$2177, $44] for the intervention group vs. +$80 [-$841, $1000] for the control group), though there was no significant difference (p = 0.12). …”
Get full text

Effectiveness of an intelligent weight-bearing rehabilitation robot in enhancing recovery following anterior cruciate ligament reconstruction by Yating Wen, Xinhong Wang, Yi Mao, Xiaolu Sun, Na Xu, Xiaoqing Han

“…The control group got standard rehabilitation training, whereas the intervention group received rehabilitation training using the Intelligent Weight-Bearing Rehabilitation Robot. …”
Get full text

Artificial intelligence media-assisted storytelling therapy as a solution for handling speech delay in early childhood by Evi Chamalah, Aida Azizah, Yosi Wulandari, Oktarina Puspita Wardani

Get full text

Postoperative self-care ability of continuous nursing based on artificial intelligence for stroke patients with neurological injury by Hui Zhao, Na Li, Jianmei Zhang

“…In this study, patients in a local hospital of third-grade class-A hospital were used as cases. Artificial intelligence was used to conduct continuous nursing intervention for the patients who were discharged from the stroke by using the WeChat platform, regular follow-up and home care. …”
Get full text

Effect of intelligent hypertension management system on blood pressure: protocol for a randomised controlled multicentre trial by Lei Hou, Xiang Chen, Haiyang Yu, Jiachun Xia

“…Self-monitoring of blood pressure is expected to be a new way to control hypertension. Intervention and the Intelligent Hypertension Management System (IHMS), an information platform relying on the network and smartphone, may help patients self-monitor their blood pressure at home, allowing for intelligent management of hypertension. …”
Get full text

A systematic review on the efficacy of artificial intelligence in geriatric healthcare: a critical analysis of current literature by Rangraze Imran, Shehla Shafi Khan

“…Study specific information was gathered, including the organisation, year of publication, nation, setting, design of the research, information about population, size of study sample, group dynamics, eligibility and exclusion requirements, information about intervention, duration of exposure to the intervention , comparators, details of outcome measures, scheduling of evaluations, and consequences. …”
Get full text

Effect of Explainable Artificial Intelligence on Trust of Mental Health Professionals in an AI-Based System for Suicide Prevention by Adonias Caetano de Oliveira, Joao Pedro Cavalcanti Azevedo, Livia Ruback, Rayele Moreira, Silmar Silva Teixeira, Ariel Soares Teles

“…Artificial Intelligence (AI)-based systems have been proposed to aid Mental Health Professionals (MHPs) in various tasks, including the prevention of suicide by identifying Suicidal Ideation (SI). …”
Get full text

Development and implementation of an artificial intelligence–enhanced care model to improve patient safety in hospital wards in Spain by Alejandro Huete-Garcia, Sara Rodriguez-Lopez

“…Integrating artificial intelligence (AI) could enhance the predictive accuracy and operational efficiency of such systems. …”
Get full text

Artificial intelligence and machine learning techniques for predicting neuropathic pain in patients with cancer: A systematic review by Haneen A Taha, Ruqayya S Zeilani, Rabia H Haddad, Maysoon S Abdalrahim

“…Early prediction is crucial for timely intervention, yet conventional tools often fall short due to their reactive and subjective nature. …”
Get full text

Leveraging the Power of Deep Learning Technique for Creating an Intelligent, Context-Aware, and Adaptive M-Learning Model by Muhammad Adnan, Duaa H. AlSaeed, Heyam H. Al-Baity, Abdur Rehman

“…Furthermore, the prediction of the learning performance of learners can assist instructors and intelligent learning systems (ILSs) in taking preemptive measures (i.e., early engagement or early intervention measures) so that the learning performance of weak learners could be increased thus reducing learners’ failures and dropout rates. …”
Get full text

The role of artificial intelligence and image processing in the diagnosis, treatment, and prognosis of liver cancer: a narrative-review by Platon Dimopoulos, Admir Mulita, Andreas Antzoulas, Sylvain Bodard, Vasileios Leivaditis, Ioanna Akrida, Nikolaos Benetatos, Konstantinos Katsanos, Christos-Nikolaos Anagnostopoulos, Francesk Mulita

“…Artificial intelligence (AI) and image processing are revolutionising the diagnosis and management of liver cancer. …”
Get full text

Regular Detection and Intelligent Monitoring Technology of Atmospheric Storage Tank Based on Acoustic Emission and Internet of Things by Jiehui Xie, Xueying Lu

“…Through the integration of intelligent acoustic wave (acoustic emission) collector, networking communication, cloud platform/server and customer terminal, the long-term online monitoring of storage tanks is realized, the detection efficiency and accuracy are improved, and the manual intervention and maintenance costs are reduced. …”
Get full text

Detection of severe aortic stenosis by clinicians versus artificial intelligence: A retrospective clinical cohort study by Geoffrey A. Strange, Michael P. Feneley, David Prior, David Muller, Prasanna Venkataraman, Yiling Situ, Simon Stewart, David Playford

“…Even when accounting for potential contraindications to valvular intervention, women were persistently less likely to be considered for valvular intervention (aOR 0.54, 95%CI 0.31–0.95) and/or underwent AVR (aOR 0.29, 95%CI 0.09–0.74). …”
Get full text

Artificial intelligence performance in ultrasound-based lymph node diagnosis: a systematic review and meta-analysis by Xinyang Han, Jingguo Qu, Man-Lik Chui, Simon Takadiyi Gunda, Ziman Chen, Jing Qin, Ann Dorothy King, Winnie Chiu-Wing Chu, Jing Cai, Michael Tin-Cheung Ying

Get full text

Artificial intelligence based multispecialty mortality prediction models for septic shock in a multicenter retrospective study by Shurui Wang, Xinyi Liu, Shaohua Yuan, Yi Bian, Hong Wu, Qing Ye

Get full text

Design of a wireless intelligent monitoring and control system for adjustable voltage DC-DC power supply by Si Ming, Wang Xusheng, Wang Jingjing

“…Meanwhile, continuous intervention by personnel may lead to potential safety hazards. …”
Get full text

CT-based artificial intelligence system complementing deep learning model and radiologist for liver fibrosis staging by Shuang Zheng, Wenao Ma, Lin Mu, Kan He, Jianfeng Cao, Tiffany Y. So, Lei Zhang, Mingyang Li, Yanan Zhai, Feng Liu, Shunlin Guo, Longlin Yin, Liming Zhao, Lei Wang, Heather H.C. Lee, Wei Jiang, Junqi Niu, Pujun Gao, Qi Dou, Huimao Zhang

Get full text

Intelligent Dimension Annotation in Engineering Drawings: A Case-Based Reasoning and MKD-ICP Algorithm Approach by Zhengqing Bai, Xifeng Fang, Bingyu Feng, Qinghua Liu

“…To address the demands for accuracy and completeness in engineering drawing dimension annotation, this paper presents an intelligent dimensioning method that integrates Case-Based Reasoning (CBR), K-Dimensional Tree (KD-Tree), and an enhanced Iterative Closest Point (ICP) algorithm. …”
Get full text