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ORCIDHealth Information Science and Systems, Volume 14
Volume 14, Number 1, December 2026
- Pablo Ferri
, Carlos Sáez, Antonio Felix de Castro, Purificación Sánchez-Cuesta, Juan M. García-Gómez:
Deep continual multitask out-of-hospital incident severity assessment from changing clinical features. 1 - Khuzaima Tofeeq, Asma Naseer, Aamir Wali:
Large language models in healthcare: a systematic evaluation on medical Q/A datasets. 2 - Emre Utkan Büyükceran, Ayça Seyfettin, Andelib Babatürk, Zeynep Eskalen, Murat Bulut Özkan, Esin Kaymaz, Hüsnü Hakan Mersin, Fuldem Yildirim Dönmez:
Text-based prediction of ımmunohistochemical biomarkers in breast cancer using a generative large language model: a retrospective study. 3 - Yuxuan Liu, Junyi Bian, Weiqi Zhai, Jiaxuan Zheng, Yuyi Zhang, Shanfeng Zhu:
Vaner2: towards more general biomedical named entity recognition using multi-task large language model encoders. 4 - Ali Mohammad Alqudah, Ausilah Alfraihat:
A multimodal approach for cardiac signals classification using deep learning with explainable AI methods. 5 - Isra Mansoor, Muhammad Abdullah, Muhammad Dawood Rizwan, Muhammad Moazam Fraz:
Reasoning with large language models in medicine: a systematic review of techniques, challenges and clinical integration. 6 - Cong-Tinh Dao, Nguyen-Minh-Thao Phan, Jun-En Ding, Chenwei Wu, David S. Restrepo, Dongsheng Luo, Fanyi Zhao, Chun-Chieh Liao, Wen-Chih Peng, Chi-Te Wang, Pei-Fu Chen, Ling Chen, Xinglong Ju, Feng Liu, Fang-Ming Hung:
CURENet: combining unified representations for efficient chronic disease prediction. 7 - Huashu Wen, Xiaohua Li, Haibo Zhang, Birong Wen, Yaying Ren, Xia Zhao:
Construction of performance score dynamic prediction system for clinical departments using explainable machine learning. 8 - Daniela Herrera, Gilberto Ochoa-Ruiz, Christian Stephan-Otto, Miguel González-Mendoza, Josep Munuera, Christian Mata:
Magnetic resonance image enhancement and segmentation using conventional and deep learning denoising techniques for dynamic cerebral angiography. 9 - Hao Ren, Fengshi Jing, Yue Zhou, Zeyu Luo, Xu Yu, Wen Jin, Lizhi Chen:
Utilizing multimodal models to forecast Alzheimer's disease progression and clinical subtypes. 10 - Lucía Carmona-Martos, Paula Martín-Palomeque, Óscar Escudero-Arnanz, Cristina Soguero-Ruíz:
Interpretable large language models for early prediction of antimicrobial multidrug resistance. 11 - Vibha Jain, Ishwari Singh Rajput, Aditya Gupta, Sonam Tyagi:
Heartbeat audio signal analysis for cardiovascular abnormality diagnosis using neural-networks. 12 - Eduardo Ulises Moya-Sánchez, Abraham Sánchez Pérez, Alejandro Zarate-Macías, Raúl Nanclares Da Veiga, Edgar Villarreal-Padilla, Paulino Monroy-Castillero, Alejandro Sánchez-Montes, Edtna Jauregui-Ulloa, Héctor Moreno, Ulises Cortés:
Design and validation of a responsible artificial intelligence-based system for the referral of diabetic retinopathy patients. 13 - Archita Chakraborty, Linkon Chowdhury, Selvarajah Thuseethan, Yakub Sebastian:
An interpretable approach for schizophrenia classification using fMRI and sMRI features. 14 - Bin Zhong, Runan Zhang, Shuai Yu, Chunhua Liu, Huilan Wen:
DA3-LUNGNET: a multi-stage deep framework with adaptive attention for early detection of subcentimeter pulmonary nodules. 15 - Ning Shi, Zhenpeng Liu, Zhenzhen Wan, Guojie Yang, Yasong Shi, Peilin Wang, Xiuling Liu:
A vision-language model-based approach for lung cancer diagnosis using lossless 3D CT images: evaluation of GPT-4.1 and GPT-4o for patient-level malignancy assessment. 16 - Songbin Wang, Zhiqing Bai, Yihe Gai:
Toward intelligent clinical support for personalized sport training rehabilitation via large language models. 17 - Swarnava Bhattacharyya, Umapada Pal, Tapabrata Chakraborti:
Conformal uncertainty quantification to evaluate predictive fairness of foundation AI model for skin lesion classes across patient demographics. 18 - Arpita Nath Boruah, Saroj K. Biswas:
DiabeRules: a transparent rule based expert system for managing diabetes. 19 - Domenico Paolo, Carlo Greco, Edy Ippolito, Michele Fiore, Sara Ramella, Paolo Soda, Matteo Tortora, Alessandro Bria, Rosa Sicilia:
Predicting lung cancer survival with attention-based CT slices combination. 20 - Xinda Wang, Xiaotong Li, Deng Zhao, Kehua Feng, Lei Liang, Zhiqiang Zhang, Keyan Ding, Huajun Chen, Bo Wan, Qiang Zhang:
Hierarchical agent reflection for aligning LLM reasoning with clinical diagnostic processes. 21 - Byung Jun Kim, Dong Ah Shin, Woo Sang Cho, Soyoon Kwon, Jung Chan Lee, Taegyun Kim, Kyung Su Kim, Gil Joon Suh, Jaehoon Sim, Jaeheung Park:
Determination of cardiopulmonary resuscitation quality based on machine learning algorithms using various biological signals. 22 - Jitendra Mehta, Sayani Das, Vibhav Prakash Singh, Ramesh Pandey, Ravi Prakash Tewari, Abhishek Kumar Tiwari:
Computational and statistical insights for leveraging biomarker-driven machine learning models in predicting COVID-19 patient outcomes. 23 - Ane G. Domingo-Aldama, Marcos Merino Prado, Alain García Olea, Josu Goikoetxea, Koldo Gojenola, Aitziber Atutxa:
Leveraging electronic health records for atrial fibrillation cohort generation. 24 - Sreekanth Puli, Nitalaksheswara Rao Kolukula, Anuradha Yarlagadda, P. V. Venkateswara Rao, Nagul Shaik, Gandhi Ongole, James Stephen Meka:
Quantum variational graph-driven neural framework for genomic-clinical integration in precision diagnosis. 25 - Byeonghun Bang, Jongsuk Yoon, Dong-Jin Chang, Seho Park, Yong Oh Lee:
Retrieval augmented large language model system for comprehensive drug contraindications. 26 - Lauren M. Janczewski, Carolyn J. Hu, Tiannan Zhan, Ravi Garg, John Slocum, Al'ona Furmanchuk, Andrew Berry, Nandita Nadig, Jeff Huml, Laeeq Shamshuddin, Yuriy Moklyak, Laura J. Davidson, Sherry Chou, Abbas AlQamari, Emilie Powell, Bruce Ankenman, Jane L. Holl, Anne Stey:
Inter-clinician diagnostic agreement of shock etiology: a multicenter observational study. 27 - Xinyu He, Binhe Li, Xiaolu Xu, Hongbin Lu, Jiatong Chi:
Protein-protein interaction extraction enhanced by entity semantic representation. 28 - Danny J. Anthonimuthu, Nikolaj Normann Holm, Anders Stockmarr, Ann-Dorthe Zwisler, Flemming Witt Udsen:
Healthcare utilization and chronic condition clusters in multimorbidity patients using weighted k-means: a register-based study in Denmark. 29 - Xuelei Yin, Mengzhu Liu, Zaiquan Dong, Yujie Wan, Yao Li, Shenggen Ju:
HeteroMed: a heterogeneous graph knowledge-enhanced model for medication recommendation. 30 - Caner Ozer, Arda Güler, Aysel Turkvatan Cansever, Ilkay Öksüz:
Consistent explainable image quality assessment for medical imaging. 31 - Shangeetha Sivasothy, Adrian Bingham, Irini Logothetis, Scott Barnett, Mohamed Abdelrazek, Carl Luckhoff, Joseph Mathew, Rajesh Vasa, Kon Mouzakis:
Large language models and conditional rules in clinical decision support systems. 32 - Sheng-Pu Teo, Mee-Hoong See, Lee-Lee Lai, Lai-Kuan Wong, Sidharrth Nagappan, John See, Kartini Rahmat, Teng-Aik Ong, Mas Ira Syafila Mohd Hilmi Tan, Kwan-Hoong Ng:
Machine learning models for volume and weight estimation in breast reconstruction planning. 33 - Mei-Hui Lee, Ting-Yun Huang, Pei-Ying Yang, Yung-Chun Chang, Min-Huei Hsu:
Optimizing ED patient disposition predictions through clinical narratives with advanced pre-trained language models. 34 - Aihua Li, Xinran Bi, Sifan Chen, Juxiang Hu, Yong Shi:
Exploring the potential of large language models in healthcare: a focus on cardiovascular disease analysis. 35 - Zhongteng Zhang, Liu Zhang, Qing Peng, Zihao Zhang, Weihong Huang:
Pose2met: a unified spatiotemporal framework for 3D human pose estimation and energy expenditure estimation. 36 - Harrison Yee, Megan Bouyea, Joshua Goldwag, John M. Lamar, Xavier Intes, Uwe Krüger, Margarida Barroso:
A data fusion deep learning approach for accurate organelle-based classification of cancer cells. 37 - Wullianallur Raghupathi, Viju Raghupathi:
Big data in healthcare and medicine revisited design and managerial challenges in the age of artificial intelligence. 38 - Yuan-Yen Chang, Ying-Yuan Cheng, Han-Po Yang, Hsu-Heng Yen, Yao-Sian Huang:
ACD2W-InceptionNeXt: adjacent class distinguished and class distance weighted InceptionNeXt-based computer-aided mayo endoscopic scoring system for still images and video segments. 39 - Yueying Wang, Shan Jiang, Chuyue Wang, Zeyu Wan, Yusi Fan, Kewei Li, Lan Huang, Fengfeng Zhou:
MedGAITS: a graph autoencoder network for modeling irregular time series data in electronic medical records. 40 - Xing Zeng, Ziyan Wang, Jingxian Chai, Hongmin Xu, Libo Qu, Hongyan Li, Xufeng Lang, Yihua Song, Yun Ling, Ning Gu, Xuebin Qiao, Zuojian Zhou:
LDComKG: an LLM-powered dual-enhanced framework for community-aware knowledge graph completion in traditional Chinese medicine. 41 - Zhipeng He, Xinxin Peng, Shishi Tang, Yuxuan Li, Yue Liu, Rui Yang, Jianping Man, Ziyi Chen, Yi Zhou:
Complex temporal network analysis based on the difference visibility graph for epilepsy with and without electrical status epilepticus during sleep (ESES) patients. 42 - Jeevitha Kannan, Vimala Jayakumar, Nasreen Kausar, Liang Kong:
An enhanced heart disease prediction model based on linear Diophantine fuzzy-integrated supervised machine learning. 43 - Mohammad Shahnawaz, Nikhil Kumawat, Tinku Singh, Satakshi, Manish Kumar:
An augmented ECG data based classification for arrhythmia using optimal feature set. 44 - Lanai Huang, Yong Zhang, Sen Qiu, Xin Li:
MSER: an emotion recognition method based on multi-signal information fusion. 45 - Yichun Shuai, Yan Liu, Xiahong Yang, Zhe Chen, Qiaoqian Wan, Jie Zhao, Xin Wang:
Prognostic value of stress hyperglycemia ratio in critically Ill patients with acute kidney injury: a machine learning-driven retrospective cohort analysis. 46 - Jerritta Selvaraj, N. Sindhu:
RQA-based identification of emotions from electrocargiogram signals for emotion regulation in children with autism spectrum disorder. 47 - Syauki Aulia Thamrin, Arbee L. P. Chen:
Enhancing explainability and performance of the depression detection model on social media utilizing feature engineering and LLMs. 48 - Huanhuan Du, Yayu Tian, Weiguang Wang, Bo Wei, Ting Mei, Hongbo Zhu, Zidan Yang, Xuan He:
DALI-Syn: integrating chemical LLMs with multi-level attention architectures for synergistic drug combination prediction. 49 - Xiangyu Ji, Guozheng Rao, Pengwei Zhuang, Hanshuo Xing, Jinli Cao, Yang Cao, Meihan Zhang, Xin Wang:
ConsTCM: aligning fundus images with constitution differentiation in multimodal language model for Traditional Chinese Medicine. 50 - Shipeng Li, Liuxin Bao, Shikun Li, Bo Wan:
Enhancing LLM-based medical decision-making by test-time knowledge acquisition. 51 - Shuyu Liu, Linkun Feng, Youwei Luo, Bijiang Wang, Panfeng Chen, Xiaohua Wang, Huarong Xu, Dan Ma, Mei Chen, Cen Chen, Hui Li, Yanhao Wang:
UMEval: a unified framework for explainable medical term semantic evaluation with large language models. 52 - Yang Ding, Yi Dai, Lei Cao, Junrui Tian, Zexi Lin, Ling Feng:
Detecting stress from videos via intra-subject and inter-subject learning. 53 - Yunqi Zhu, Yuanyuan Wu, Wensheng Zhang, Xuebing Yang:
Parameter-efficient fine-tuning with layer pruning on medical sequence-to-sequence modeling. 54 - Ajni K. Ajai:
Multi-omics data integration for disease phenotype prediction using adversarial vision graph networks. 55 - Vidyapati Kumar, Dilip Kumar Pratihar:
ProsthetiX-AI: An LLM-based clinical decision support system for evidence-based prosthetic recommendations. 56 - Rongzheng Wang, Cheng Yu, Qian Dong, Jianqing Qiu, Tao Wen, Wei Zhang, Ke Qin:
PKFAR: psychiatry knowledge-fused augmented reasoning with large language models. 57 - Weiqi Zhai, Kexin Jiao, Ningning Wang, Liqiang Yu, Xiaodi Huang, Wenhui Li, Chaoping Hu, Xinyu Chen, Bochen Zhu, Jialong Zhang, Xuechun Chang, Huahua Zhong, Chongbo Zhao, Zhi Huang, Guangyao Yang, Shanfeng Zhu, Wenhua Zhu:
PhenoRareAI: Phenotype-based intelligent diagnosis for rare neuromuscular disorders of glycogen storage disease and spinal muscular atrophy. 58 - Souaad Hamza-Cherif, Adil Gaouar, Zineb Aziza El Aouaber, Nesma Settouti:
An explainable hybrid deep-learning and machine learning framework for automatic coeliac disease detection from duodenal endoscopy images. 59 - Rafael da C. Fonseca, Ricardo Araújo Rios, Rodrigo Castaldoni, Adrielle A. Carvalho, Tiago J. S. Lopes, Caio L. B. Andrade, Braian Varjao Gama Bispo, Laís R. Mota, Tatiane N. Rios:
Fine-grained evaluation of a domain-specific Q&A dataset to support trustworthy medical language models. 60 - Ibtihaj Ahmad, Jing Qu, Qi Zhang, Xiaoyan Zhou, Chu Qingyin, Ran WenHao, Fuzhong Xue:
From EHR chaos to clinical clarity: enhancing foundational encoders with task-specific attention for domain-oriented representation learning in downstream clinical applications. 61 - Omar Avalos, Milagros Contreras, Nayeli Areli Pérez-Padilla, Jorge Gálvez:
A unsupervised data-driven characterization of cardiovascular disease by self-organizing maps (SOM) approach. 62 - Yan Zhu, Yuejia Ru, Juan Xie, Tian Zuo, Xinjie Hong, Dongmei Wang:
Development and application of an intelligent management and home care system for geriatric diseases under the 'Internet Plus' model: big data-based risk prediction and personalized intervention. 63 - Xinyu Wang, Xiaohe Sun, Jilong Shen, Jiadong Xie, Yichu Xu, Tao Yang, Haibo Cheng, Kongfa Hu:
Construction and application of a traditional Chinese medicine syndrome differentiation and treatment model grounded in knowledge distillation and reinforcement learning. 64 - Jieshuo Zhang, Yilin Chang, Peng Xiong, Shuai Yan, Zhaopeng Li, Jianli Yang, Bin Hu, Xiuling Liu:
An ECG early prediction algorithm integrating autonomic imbalance and repolarization energospectral shift. 65 - Wei Wang, Zhichang Zhang, Yang Li, Ke Zhang, Yu-Ming Du:
Self-supervised fusion of clinical expertise and interpersonal skills for enhanced physician recommendation. 66 - Manisha Ingle, Labhesh Popatkar, Ankit A. Bhurane, Manish Sharma, Rajendra Acharya:
PLETHSOMNet: automated identification of insomnia using deep neural network technique with photoplethysmography (PPG) signals. 67 - Priyanka Gautam, Nisha Chaurasia:
A noval 4D graph temporal brain network model for EEG-based depression detection. 68 - Wei Wu, Jiawei Guan, Qi Zhao, Jianwei Shuai:
SPSGL: uncovering psychiatric network mechanisms via structural-prior guided synaptic graph learning. 69 - Yalin Zhang, Xuguang Li, Fu Yin, Zeyang Pang, Fucheng Tao, Rundong Zhou, Zhongshuang Liu:
Multi-dimensional alignment framework with geometric intraoral constraints for precise occlusal registration. 70 - Muhammad Abdullah Sarwar, Sarmad Maqsood, Egle Milieskaite-Belousoviene, Rytis Maskeliunas:
AutoBiGluNet: transformer-based time series modeling for blood glucose prediction in Type 1 diabetes patients. 71 - V. R. Dhivyabharathi, S. Suresh Kumar:
Hybridization of fuzzy logic based relevance vector and multi kernel image enhancement for Alzheimer′s disease diagnosis. 72 - Taslima Khanam, Siuly Siuly, Kate N. Wang, Hua Wang:
A novel deep learning approach for privacy-preserving encoded EEG-based brain-computer interfaces with clinical LLM applications. 73 - Junliang Liu, Ling Luo, Dinghao Pan, Yiyang Kang, Yuanyuan Sun, Hongfei Lin, Lejing Yu, Huan Zhuang:
BioRENLI: enhancing large language models for biomedical relation extraction through preference-aligned natural language inference. 74 - Mayesha Tasnim, Sejuty Das, Shafee Shadman Tonoy, T. M. Shahriar Sazzad:
PCOS detection from ovarian ultrasound images using feature fusion and hybrid classification approaches. 75 - Juan Manuel Lopez-Pasten, Juan Manuel Ramírez-Cortés, Jose Hugo Barron-Zambrano, Juan Carlos Bernal-Romero, Jose de Jesus Rangel-Magdaleno:
Detection of cardiac pathologies in electrocardiogram signals using empirical mode decomposition and neural networks. 76 - Maryam Zolnoori, Elyas Esmaeili, Mehdi Naserian, Ali Zolnour, Sina Rashidi, Tahoura Morovati, Hossein Azadmaleki, Zhihong Zhang, James M. Noble, Margaret V. McDonald:
SpeechDETECT: an explainable automated speech processing pipeline for early detection of neurological and health changes. 77
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