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ORCIDnpj Digital Medicine, Volume 8
Volume 8, Number 1, 2025
- Joseph Kambeitz, Andreas Meyer-Lindenberg:
Modelling the impact of environmental and social determinants on mental health using generative agents. - Luciana D'adderio, David W. Bates:
Transforming diagnosis through artificial intelligence. - Yong Whi Jeong, Hayon Michelle Choi, You Hyun Park, Yongjin Lee, Ji Ye Jung, Dae Ryong Kang:
Association between exposure to particulate matter and heart rate variability in vulnerable and susceptible individuals. - Tao Chen, Jialiang Wen, Xinchen Shen, Jiaqi Shen, Jiajun Deng, Mengmeng Zhao, Long Xu, Chunyan Wu, Bentong Yu, Minglei Yang, Minjie Ma, Junqi Wu, Yunlang She, Yifan Zhong, Likun Hou, Yanrui Jin, Chang Chen:
Whole slide image based deep learning refines prognosis and therapeutic response evaluation in lung adenocarcinoma. - Kristin M. Kostick-Quenet:
A caution against customized AI in healthcare. - Tom W. Andrew, Mogdad Alrawi, Ruth Plummer, Nick J. Reynolds, Vern Sondak, Isaac Brownell, Penny E. Lovat, Aidan Rose, Sophia Z. Shalhout:
A hybrid machine learning approach for the personalized prognostication of aggressive skin cancers. - Anubhuti Sood, Deepika Mishra, Varun Surya, Harpreet Singh, Rajesh Sundaresan, Debnath Pal, Raghu Dharmaraju, Rohit Satish, Shashwat Mishra, Nishant A. Chavan, Soham Mondal, Pavan Duggal, Venkateswaran K. Iyer:
Challenges and recommendations for enhancing digital data protection in Indian Medical Research and Healthcare Sector. - Lisa Asciak, Justicia Kyeremeh, Xichun Luo, Asimina Kazakidi, Patricia Connolly, Frederic Picard, Kevin O'neill, Sotirios A. Tsaftaris, Grant D. Stewart, Wenmiao Shu:
Digital twin assisted surgery, concept, opportunities, and challenges. - Jitendra Jonnagaddala, Zoie Shui-Yee Wong:
Privacy preserving strategies for electronic health records in the era of large language models. - Albert J. Rogers, Neal K. Bhatia, Sabyasachi Bandyopadhyay, James E. Tooley, Rayan Ansari, Vyom Thakkar, Justin Xu, Jessica Torres Soto, Jagteshwar S. Tung, Mahmood I. Alhusseini, Paul Clopton, Reza Sameni, Gari D. Clifford, J. Weston Hughes, Euan A. Ashley, Marco V. Perez, Matei Zaharia, Sanjiv M. Narayan:
Identification of cardiac wall motion abnormalities in diverse populations by deep learning of the electrocardiogram. - Donnella S. Comeau, Danielle S. Bitterman, Leo Anthony Celi:
Preventing unrestricted and unmonitored AI experimentation in healthcare through transparency and accountability. - Gayeon Ryu, Jae Moon Choi, Hyeon Seok Seok, Jaehyung Lee, Eun-Kyung Lee, Hangsik Shin, Byung-Moon Choi:
Machine learning based quantitative pain assessment for the perioperative period. - Zheyi Dong, Xiaofei Wang, Sai Pan, Taohan Weng, Xiaoniao Chen, Shuangshuang Jiang, Ying Li, Zonghua Wang, Xueying Cao, Qian Wang, Pu Chen, Lai Jiang, Guangyan Cai, Li Zhang, Yong Wang, Jinkui Yang, Yani He, Hongli Lin, Jie Wu, Li Tang, Jianhui Zhou, Shengxi Li, Zhaohui Li, Yibing Fu, Xinyue Yu, Yanqiu Geng, Yingjie Zhang, Liqiang Wang, Mai Xu, Xiangmei Chen:
A multimodal transformer system for noninvasive diabetic nephropathy diagnosis via retinal imaging. - José Luis Gracia Martínez, Bernadette Pfang, Miguel Ángel Morales Coca, Cristina Caramés Sánchez, Marta del Olmo Rodríguez, Marco Antonio Villegas García, Jorge Short Apellaniz, Javier Arcos Campillo, Juan Antonio Álvaro de la Parra, Florencia Manzano Lorefice, Luis Enrique Muñoz Alameda:
Implementing a closed loop clinical decision support system for sustainable preoperative care. - Karthik Adapa, Ashu Gupta, Sandeep Singh, Hitinder Kaur, Abhinav Trikha, Ajoy Sharma, Kumar Rahul:
A real world evaluation of an innovative artificial intelligence tool for population-level breast cancer screening. - Yuqi Yan, Kai Wang, Bojian Feng, Jincao Yao, Tian Jiang, Zhiyan Jin, Yin Zheng, Yahan Zhou, Chen Chen, Lin Sui, Xiayi Chen, Yanhong Du, Jie Yang, Qianmeng Pan, Lingyan Zhou, Vicky Yang Wang, Ping Liang, Dong Xu:
The use of large language models in detecting Chinese ultrasound report errors. - Greta Ullrich, Alexander Bäuerle, Lisa Maria Jahre, Katrin Paldán, Jana Rosemeyer, Chiara Kalaitzidis, Christos Rammos, Martin Teufel, Tienush Rassaf, Julia Lortz:
Impact of visual presentation of atherosclerotic carotid plaque on cardiovascular risk profile using mHealth technologies. - Haohuai He, Guanxing Chen, Zhenchao Tang, Calvin Yu-Chian Chen:
Dual modality feature fused neural network integrating binding site information for drug target affinity prediction. - Tian Lin, Meng Wang, Aidi Lin, Xiaoting Mai, Huiyu Liang, Yih Chung Tham, Haoyu Chen:
Efficiency and safety of automated label cleaning on multimodal retinal images. - Lorenzo Venturini, Samuel Budd, Alfonso Farruggia, Robert Wright, Jacqueline Matthew, Thomas G. Day, Bernhard Kainz, Reza Razavi, Joseph V. Hajnal:
Whole examination AI estimation of fetal biometrics from 20-week ultrasound scans. - Zoie Shui-Yee Wong, Yang Gong, Shin Ushiro:
A pathway from fragmentation to interoperability through standards-based enterprise architecture to enhance patient safety. - Manlio De Domenico, Luca Allegri, Guido Caldarelli, Valeria d'Andrea, Barbara Di Camillo, Luis M. Rocha, Jordan C. Rozum, Riccardo Sbarbati, Francesco Zambelli:
Challenges and opportunities for digital twins in precision medicine from a complex systems perspective. - Teona Z. Carciumaru, Cadey M. Tang, Mohsen Farsi, Wichor M. Bramer, Jenny Dankelman, Chirag Raman, Clemens M. F. Dirven, Maryam Gholinejad, Dalibor Vasilic:
Systematic review of machine learning applications using nonoptical motion tracking in surgery. - Min Shi, Yan Luo, Yu Tian, Lucy Q. Shen, Nazlee Zebardast, Mohammad Eslami, Saber Kazeminasab, Michael V. Boland, David S. Friedman, Louis R. Pasquale, Mengyu Wang:
Equitable artificial intelligence for glaucoma screening with fair identity normalization. - Cheng-Jiang Wei, Yan Tang, Yang-Bai Sun, Tie-Long Yang, Cheng Yan, Hui Liu, Jun Liu, Jing-Ning Huang, Ming-Han Wang, Zhen-Wei Yao, Ji-Long Yang, Zhi-Chao Wang, Qing-Feng Li:
A multicenter study of neurofibromatosis type 1 utilizing deep learning for whole body tumor identification. - Milena Engelke, Jorge Piano Simões, Laura Basso, Nina Wunder, Berthold Langguth, Thomas Probst, Rüdiger Pryss, Winfried Schlee:
Understanding tinnitus symptom dynamics and clinical improvement through intensive longitudinal data. - Carlos R. Ramírez Medina, Jose Benitez-Aurioles, David A. Jenkins, Meghna Jani:
A systematic review of machine learning applications in predicting opioid associated adverse events. - Shirley Shapiro Ben David, Roni Romano, Daniella Rahamim-Cohen, Joseph Azuri, Shira Greenfeld, Ben Gedassi, Uri Lerner:
AI driven decision support reduces antibiotic mismatches and inappropriate use in outpatient urinary tract infections. - Ruiqi Ma, Qian Cheng, Jing Yao, Zhiyu Peng, Mingxu Yan, Jie Lu, Jingjing Liao, Lejin Tian, Wenjun Shu, Yunqiu Zhang, Jinghan Wang, Pengfei Jiang, Weiyi Xia, Xiaofeng Li, Lu Gan, Yue Zhao, Jiang Zhu, Bing Qin, Qin Jiang, Xiawei Wang, Xintong Lin, Haifeng Chen, Weifang Zhu, Dehui Xiang, Baoqing Nie, Jingtao Wang, Jie Guo, Kang Xue, Hongguang Cui, Jinwei Cheng, Xiangjia Zhu, Jiaxu Hong, Fei Shi, Rui Zhang, Xinjian Chen, Chen Zhao:
Multimodal machine learning enables AI chatbot to diagnose ophthalmic diseases and provide high-quality medical responses. - Thalia Richter, Reut Shani, Shachaf Tal, Nazanin Derakshan, Noga Cohen, Philip M. Enock, Richard J. McNally, Nilly Mor, Shimrit Daches, Alishia D. Williams, Jenny Yiend, Per Carlbring, Jennie M. Kuckertz, Wenhui Yang, Andrea Reinecke, Christopher G. Beevers, Brian E. Bunnell, Ernst H. W. Koster, Sigal Zilcha-Mano, Hadas Okon-Singer:
Machine learning meta-analysis identifies individual characteristics moderating cognitive intervention efficacy for anxiety and depression symptoms. - Arjun Mahajan, Dylan Powell:
Improving authenticity and provenance in digital biomarkers: the case for digital watermarking. - Kaan Sel, Andrea Hawkins-Daarud, Anirban Chaudhuri, Deen Osman, Ahmad Bahai, David Paydarfar, Karen Willcox, Caroline Chung, Roozbeh Jafari:
Survey and perspective on verification, validation, and uncertainty quantification of digital twins for precision medicine. - Yun Hu, Joshua Wiley, Lulu Jiang, Xiyi Wang, Ran Yi, Jiehui Xu, Yanyan Liu, Aozhou Weng, Futai Zou, Eun-Ok Im:
Digital humanistic program to manage premature frailty in young breast cancer survivors with gender perspective. - Robbin Romijnders, Arash Atrsaei, Rana Zia Ur Rehman, Lea Strehlow, Jèrôme Massoud, Chloe Hinchliffe, Victoria Macrae, Kirsten Emmert, Ralf Reilmann, C. Janneke van der Woude, Geert Van Gassen, Frédéric Baribaud, Teemu Ahmaniemi, Meenakshi Chatterjee, Bruno Kusznir Vitturi, Clémence Pinaud, Jérôme Kalifa, Stefan Avey, Wan-Fai Ng, Clint Hansen, Nikolay V. Manyakov, Walter Maetzler:
Association of real life postural transitions kinematics with fatigue in neurodegenerative and immune diseases. - Philip Hempel, Antônio H. Ribeiro, Marcus Vollmer, Theresa Bender, Marcus Dörr, Dagmar Krefting, Nicolai Spicher:
Explainable AI associates ECG aging effects with increased cardiovascular risk in a longitudinal population study. - Arvind Veluvali, Ashkan Dehghani Zahedani, Amir Hosseinian, Nima Aghaeepour, Tracey McLaughlin, Mark Woodward, Alex Ditullio, Noosheen Hashemi, Michael P. Snyder:
Impact of digital health interventions on glycemic control and weight management. - Martijn J. Schuemie, Anna Ostropolets, Aleh Zhuk, Uladzislau Korsik, Seung In Seo, Marc A. Suchard, George Hripcsak, Patrick B. Ryan:
Standardized patient profile review using large language models for case adjudication in observational research. - Jin Woo Choi, Chuyi Cui, Kevin B. Wilkins, Helen M. Bronte-Stewart:
N2GNet tracks gait performance from subthalamic neural signals in Parkinson's disease. - Agustina D. Saenz, Thomas McCoy, Allison Bryant Mantha, Robert Martin, Robert Damiano, Deborah Adair, David Heaney, Rachel Sisodia, Lee Park, Robert Forsberg, Gerry Tuffy, Shawn Murphy, Keith Dreyer, Martha Jones, Heather Jean Cosier, Merranda Logan, Yogendra Bundela, Amanda Centi, David Ting, Jacqueline G. You, Adam Landman, Rebecca G. Mishuris:
Author Correction: Establishing responsible use of AI guidelines: a comprehensive case study for healthcare institutions. - Laura M. König, Max J. Western, Andrea H. Denton, Rebecca Krukowski:
Umbrella review of social inequality in digital interventions targeting dietary and physical activity behaviors. - Mahnoor Ahmed, Tinglong Dai, Roomasa Channa, Michael D. Abràmoff, Harold P. Lehmann, Risa M. Wolf:
Cost-effectiveness of AI for pediatric diabetic eye exams from a health system perspective. - Xiang He, Fuwang Wu, Kaixuan Hu, Lizhen Cui, Weiye Song, Yi Wan:
Fusing multispectral information for retinal layer segmentation. - Zhen Yu, Toàn D. Nguyên, Lie Ju, Yaniv Gal, Maithili Sashindranath, C. Paul Bonnington, Lei Zhang, Victoria Mar, Zongyuan Ge:
Hierarchical skin lesion image classification with prototypical decision tree. - Johnathon Edward Liddicoat, Gabriela Lenarczyk, Mateo Aboy, Timo Minssen, Sebastian Porsdam Mann:
A policy framework for leveraging generative AI to address enduring challenges in clinical trials. - Jun J. Mao, Karolina Bryl, Erin F. Gillespie, Angela Green, Tony K. W. Hung, Raymond Baser, Katherine Panageas, Michael A. Postow, Bobby Daly:
Randomized clinical trial of a digital integrative medicine intervention among patients undergoing active cancer treatment. - Jessie P. Bakker, Roland Barge, Jacob Centra, Bryan Cobb, Chas Cota, Christine Cong Guo, Bert Hartog, Nathalie Horowicz-Mehler, Elena S. Izmailova, Nikolay V. Manyakov, Samantha McClenahan, Stéphane Motola, Smit Patel, Oana Paun, Marian Schoone, Emre Sezgin, Thomas Switzer, Animesh Tandon, Willem van den Brink, Srinivasan Vairavan, Benjamin Vandendriessche, Bernard Vrijens, Jennifer C. Goldsack:
V3+ extends the V3 framework to ensure user-centricity and scalability of sensor-based digital health technologies. - Hyojin Lee, You Rim Choi, Hyun Kyung Lee, Jaemin Jeong, Joopyo Hong, Hyunwoo Shin, Hyung-Sin Kim:
Explainable vision transformer for automatic visual sleep staging on multimodal PSG signals. - Iván López, Akshay Swaminathan, Karthik S. Vedula, Sanjana Narayanan, Fateme Nateghi Haredasht, Stephen P. Ma, April S. Liang, Steven Tate, Manoj Maddali, Robert Gallo, Nigam H. Shah, Jonathan H. Chen:
Clinical entity augmented retrieval for clinical information extraction. - Bayrem Kaabachi, Jérémie Despraz, Thierry Meurers, Karen Otte, Mehmed Halilovic, Bogdan Kulynych, Fabian Prasser, Jean Louis Raisaro:
A scoping review of privacy and utility metrics in medical synthetic data. - Tal El-Hay, Jenna Marie Reps, Chen Yanover:
Extensive benchmarking of a method that estimates external model performance from limited statistical characteristics. - Ching-Heng Lin, Zhi-Yong Liu, Pao-Hsien Chu, Jung-Sheng Chen, Hsin-Hsu Wu, Ming-Shien Wen, Chang-Fu Kuo, Ting-Yu Chang:
A multitask deep learning model utilizing electrocardiograms for major cardiovascular adverse events prediction. - Weiyang Deng, Megan K. O'Brien, Rachel A. Andersen, Richa Rai, Erin Jones, Arun Jayaraman:
A systematic review of portable technologies for the early assessment of motor development in infants. - Xiaohao Mao, Yu Huang, Ye Jin, Lun Wang, Xuanzhong Chen, Honghong Liu, Xinglin Yang, Haopeng Xu, Xiaodong Luan, Ying Xiao, Siqin Feng, Jiahao Zhu, Xuegong Zhang, Rui Jiang, Shuyang Zhang, Ting Chen:
A phenotype-based AI pipeline outperforms human experts in differentially diagnosing rare diseases using EHRs. - Yonghun Song, Inyeol Yun, Sandra Giovanoli, Chris Awai Easthope, Yoonyoung Chung:
Multimodal deep ensemble classification system with wearable vibration sensor for detecting throat-related events. - Hao Chen, Longfei Gou, Zhiwen Fang, Qi Dou, Haobin Chen, Chang Chen, Yuqing Qiu, Jinglin Zhang, Chenglin Ning, Yanfeng Hu, Haijun Deng, Jiang Yu, Guoxin Li:
Artificial intelligence assisted real-time recognition of intra-abdominal metastasis during laparoscopic gastric cancer surgery. - Chang Sun, Michel Dumontier:
Generating unseen diseases patient data using ontology enhanced generative adversarial networks. - Anne-Jet Jansen, Guido M. Peters, Laura Kooij, Carine J. M. Doggen, Wim H. van Harten:
Device based monitoring in digital care and its impact on hospital service use. - Hayoung Jeong, Ali R. Roghanizad, Hiral Master, Juseong Kim, Aymone Kouame, Paul A. Harris, Melissa A. Basford, Kayla Marginean, Jessilyn Dunn:
Data from the All of Us research program reinforces existence of activity inequality. - Rohit Singla, Nikola Pupic, Seyed-Aryan Ghaffarizadeh, Caroline Kim, Ricky Hu, Bruce B. Forster, Ilker Hacihaliloglu:
Author Correction: Developing a Canadian artificial intelligence medical curriculum using a Delphi study. - Robert Hogan, Sean R. Mathieson, Aurel Luca, Soraia Ventura, Sean Griffin, Geraldine B. Boylan, John M. O'Toole:
Scaling convolutional neural networks achieves expert level seizure detection in neonatal EEG. - Kimia Heydari, Elizabeth J. Enichen, Serena C. Y. Wang, Grace C. Nickel, Joseph C. Kvedar:
A novel model for retinal imaging in the diagnosis of Alzheimer's disease. - Samuel F. Friedman, Shaan Khurshid, Rachael A. Venn, Xin Wang, Nathaniel Diamant, Paolo Di Achille, Lu-Chen Weng, Seung Hoan Choi, Christopher Reeder, James P. Pirruccello, Pulkit Singh, Emily S. Lau, Anthony A. Philippakis, Christopher D. Anderson, Mahnaz Maddah, Puneet Batra, Patrick T. Ellinor, Jennifer E. Ho, Steven A. Lubitz:
Unsupervised deep learning of electrocardiograms enables scalable human disease profiling. - Roos J. Jutten, Daniel Soberanes, Cassidy P. Molinare, Stephanie Hsieh, Michelle E. Farrell, Aaron S. Schultz, Dorene M. Rentz, Gad A. Marshall, Keith A. Johnson, Reisa A. Sperling, Rebecca E. Amariglio, Kathryn V. Papp:
Detecting early cognitive deficits in preclinical Alzheimer's disease using a remote digital multi-day learning paradigm. - Jinghong Chen, Anqi Lin, Aimin Jiang, Chang Qi, Zaoqu Liu, Quan Cheng, Shuofeng Yuan, Peng Luo:
Computational frameworks transform antagonism to synergy in optimizing combination therapies. - Tathiany J. Ferreira, Igor C. Salvador, Carolina R. Pessanha, Renata R. M. da Silva, Aline D. Pereira, Maria A. Horst, Denise P. Carvalho, Josely C. Koury, Anna P. T. R. Pierucci:
Advances in the estimation of body fat percentage using an artificial intelligence 2D-photo method. - Alan Balendran, Céline Beji, Florie Bouvier, Ottavio Khalifa, Theodoros Evgeniou, Philippe Ravaud, Raphaël Porcher:
A scoping review of robustness concepts for machine learning in healthcare. - Nadir Sella, Florent Guinot, Nikita Lagrange, Laurent-Philippe Albou, Jonathan Desponds, Hervé Isambert:
Preserving information while respecting privacy through an information theoretic framework for synthetic health data generation. - Siân Bladon, Emily Eisner, Sandra Bucci, Anuoluwapo Oluwatayo, Glen P. Martin, Matthew Sperrin, John D. Ainsworth, Sophie Faulkner:
A systematic review of passive data for remote monitoring in psychosis and schizophrenia. - Gustavo Frigieri, Sérgio Brasil, Danilo Cardim, Marek Czosnyka, Matheus Ferreira, Wellingson S. Paiva, Xiao Hu:
Machine learning approach for noninvasive intracranial pressure estimation using pulsatile cranial expansion waveforms. - Chaoyi Wu, Pengcheng Qiu, Jinxin Liu, Hongfei Gu, Na Li, Ya Zhang, Yanfeng Wang, Weidi Xie:
Towards evaluating and building versatile large language models for medicine.
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