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npj Digital Medicine, Volume 7
Volume 7, Number 1, 2024
- Kyung Hwa Lee, Gwang Hyeon Choi, Jihye Yun, Jonggi Choi, Myung Ji Goh, Dong Hyun Sinn, Young Joo Jin, Minseok Albert Kim, Su Jong Yu, Sangmi Jang, Soon Kyu Lee, Jeong Won Jang, Jae Seung Lee, Do Young Kim, Young Youn Cho, Hyung Joon Kim, Sehwa Kim, Ji Hoon Kim, Namkug Kim, Kang Mo Kim:
Machine learning-based clinical decision support system for treatment recommendation and overall survival prediction of hepatocellular carcinoma: a multi-center study. - Eunjung Lee, Saki Ito, William R. Miranda, Francisco Lopez-Jimenez, Garvan C. Kane, Samuel J. Asirvatham, Peter A. Noseworthy, Paul A. Friedman, Rickey E. Carter, Barry A. Borlaug, Zachi Attia, Jae K. Oh:
Artificial intelligence-enabled ECG for left ventricular diastolic function and filling pressure. - Bing Li, Huan Chen, Weihong Yu, Ming Zhang, Fang Lu, Jingxue Ma, Yuhua Hao, Xiaorong Li, Bojie Hu, Lijun Shen, Jianbo Mao, Xixi He, Hao Wang, Dayong Ding, Xirong Li, Youxin Chen:
The performance of a deep learning system in assisting junior ophthalmologists in diagnosing 13 major fundus diseases: a prospective multi-center clinical trial. - Alan Godfrey, Dylan Powell:
UK funding agency launches digital health hubs: a new catalyst for change? - Shuzhi Zhao, Guangyan Dai, Jingting Li, Xiaoxia Zhu, Xiyan Huang, Yongxue Li, Mingdan Tan, Lan Wang, Peng Fang, Xi Chen, Nan Yan, Hanjun Liu:
An interpretable model based on graph learning for diagnosis of Parkinson's disease with voice-related EEG. - Aaron T. C. Chan, Roy T. F. Ip, Joshua Y. S. Tran, Joyce Y. C. Chan, Kelvin Kam-fai Tsoi:
Computerized cognitive training for memory functions in mild cognitive impairment or dementia: a systematic review and meta-analysis. - Ashkan Dehghani Zahedani, Tracey McLaughlin, Arvind Veluvali, Nima Aghaeepour, Amir Hosseinian, Saransh Agarwal, Jingyi Ruan, Shital Tripathi, Mark Woodward, Noosheen Hashemi, Michael Snyder:
Correction: Digital health application integrating wearable data and behavioral patterns improves metabolic health. - Alexander Capstick, Francesca Palermo, Kimberley Zakka, Nan Fletcher-Lloyd, Chloe Walsh, Tianyu Cui, Samaneh Kouchaki, Raphaella Jackson, Martin Tran, Michael Crone, Kirsten Jensen, Paul S. Freemont, Ravi Vaidyanathan, Magdalena Kolanko, Jessica True, Sarah Daniels, David Wingfield, Ramin Nilforooshan, Payam M. Barnaghi:
Digital remote monitoring for screening and early detection of urinary tract infections. - Marco Guevara, Shan Chen, Spencer Thomas, Tafadzwa L. Chaunzwa, Idalid Franco, Benjamin H. Kann, Shalini Moningi, Jack M. Qian, Madeleine Goldstein, Susan Harper, Hugo J. W. L. Aerts, Paul J. Catalano, Guergana K. Savova, Raymond H. Mak, Danielle S. Bitterman:
Large language models to identify social determinants of health in electronic health records. - Michael Putzier, T. Khakzad, M. Dreischarf, Sylvia Thun, F. Trautwein, N. Taheri:
Implementation of cloud computing in the German healthcare system. - Amruta Pai, Rony Santiago, Namino Glantz, Wendy Bevier, Souptik Barua, Ashutosh Sabharwal, David Kerr:
Multimodal digital phenotyping of diet, physical activity, and glycemia in Hispanic/Latino adults with or at risk of type 2 diabetes. - Martin Dugas, Max Blumenstock, Tobias Dittrich, Urs Eisenmann, Stephan Christoph Feder, Fleur Fritz-Kebede, Lucy J. Kessler, Maximilian Klass, Petra Knaup, Christoph U. Lehmann, Angela Merzweiler, Christian Niklas, Thomas M. Pausch, Nelly Zental, Matthias Ganzinger:
Next-generation study databases require FAIR, EHR-integrated, and scalable Electronic Data Capture for medical documentation and decision support. - Jing Wang, Le Xue, Jiehui Jiang, Fengtao Liu, Ping Wu, Jiaying Lu, Huiwei Zhang, Weiqi Bao, Qian Xu, Zizhao Ju, Li Chen, Fangyang Jiao, Huamei Lin, Jingjie Ge, Chuantao Zuo, Mei Tian:
Diagnostic performance of artificial intelligence-assisted PET imaging for Parkinson's disease: a systematic review and meta-analysis. - Daniel C. Baumgart:
An intriguing vision for transatlantic collaborative health data use and artificial intelligence development. - Hanyin Wang, Chufan Gao, Christopher Dantona, Bryan Hull, Jimeng Sun:
DRG-LLaMA : tuning LLaMA model to predict diagnosis-related group for hospitalized patients. - Mateo Aboy, Cristina Crespo, Ariel Dora Stern:
Beyond the 510(k): The regulation of novel moderate-risk medical devices, intellectual property considerations, and innovation incentives in the FDA's De Novo pathway. - Kaushik P. Venkatesh, Marium M. Raza, Grace Nickel, Serena C. Y. Wang, Joseph C. Kvedar:
Deep learning models across the range of skin disease. - Wenjianlong Zhou, Zhongyan Wang, Qin Xu, Xiangxiang Liu, Junshi Li, Huaiqiang Yu, Hui Qiao, Lirui Yang, Liangpeng Chen, Yuan Zhang, Zhe Huang, Yuxing Pang, Zhitong Zhang, Jiayan Zhang, Xiudong Guan, Shunchang Ma, Yingjie Ren, Xiaoyi Shi, Linhao Yuan, Deling Li, Dong Huang, Zhihong Li, Jia Wang:
Wireless facial biosensing system for monitoring facial palsy with flexible microneedle electrode arrays. - David A. Simon, Sara Raza, Carmel Shachar, I. Glenn Cohen:
Using digital technologies to diagnose in the home: recommendations from a Delphi panel. - Serena C. Y. Wang, Grace Nickel, Kaushik P. Venkatesh, Marium M. Raza, Joseph C. Kvedar:
AI-based diabetes care: risk prediction models and implementation concerns. - Ali Abedi, Tracey J. F. Colella, Maureen Pakosh, Shehroz S. Khan:
Artificial intelligence-driven virtual rehabilitation for people living in the community: A scoping review. - Aubrey A. Shick, Christina M. Webber, Nooshin Kiarashi, Jessica P. Weinberg, Aneesh Deoras, Nicholas Petrick, Anindita Saha, Matthew C. Diamond:
Transparency of artificial intelligence/machine learning-enabled medical devices. - Yue Shen, Huanyu Li, Can Sun, Hongtao Ji, Daojun Zhang, Kun Hu, Yiqi Tang, Yu Chen, Zikun Wei, Junwei Lv:
Optimizing skin disease diagnosis: harnessing online community data with contrastive learning and clustering techniques. - Shobha Dasari, Raihana Mehreen, Kristin Baker Spohn, Andrey Ostrovsky:
Opportunities for CMS to improve healthcare access and equity through advancing technology-enabled startups and digital health innovations. - Brennan M. R. Spiegel, Omer Liran, Allistair Clark, Jamil S. Samaan, Carine Khalil, Robert Chernoff, Kavya Reddy, Muskaan Mehra:
Feasibility of combining spatial computing and AI for mental health support in anxiety and depression. - Thomas Savage, Ashwin Nayak, Robert Gallo, Ekanath Rangan, Jonathan H. Chen:
Diagnostic reasoning prompts reveal the potential for large language model interpretability in medicine. - Aaron Boussina, Supreeth P. Shashikumar, Atul Malhotra, Robert L. Owens, Robert El-Kareh, Christopher A. Longhurst, Kimberly Quintero, Allison Donahue, Theodore C. Chan, Shamim Nemati, Gabriel Wardi:
Impact of a deep learning sepsis prediction model on quality of care and survival. - Tran Anh Tuan, Tal Ze'evi, Stefan P. Haider, Gaby Abou Karam, Elisa R. Berson, Hishan Tharmaseelan, Adnan I. Qureshi, Pina C. Sanelli, David J. Werring, Ajay Malhotra, Nils H. Petersen, Adam DeHavenon, Guido J. Falcone, Kevin N. Sheth, Seyedmehdi Payabvash:
Uncertainty-aware deep-learning model for prediction of supratentorial hematoma expansion from admission non-contrast head computed tomography scan. - Bastien Lechat, Ganesh Naik, Sarah Appleton, Jack Manners, Hannah Scott, Duc Phuc Nguyen, Pierre Escourrou, Robert J. Adams, Peter G. Catcheside, Danny J. Eckert:
Regular snoring is associated with uncontrolled hypertension. - Sarah K. Schäfer, Lisa von Boros, Lea M. Schaubruch, Angela M. Kunzler, Saskia Lindner, Friederike Koehler, Tabea Werner, Federico Zappalà, Isabella Helmreich, Michèle Wessa, Klaus Lieb, Oliver Tüscher:
Digital interventions to promote psychological resilience: a systematic review and meta-analysis. - Ruoyu Chen, Weiyi Zhang, Fan Song, Honghua Yu, Dan Cao, Yingfeng Zheng, Mingguang He, Danli Shi:
Translating color fundus photography to indocyanine green angiography using deep-learning for age-related macular degeneration screening. - Yibo Zhang, Zijian Yang, Ruanqi Chen, Yanli Zhu, Li Liu, Jiyan Dong, Zicheng Zhang, Xujie Sun, Jianming Ying, Dongmei Lin, Lin Yang, Meng Zhou:
Histopathology images-based deep learning prediction of prognosis and therapeutic response in small cell lung cancer. - Cristian David Rios-Urrego, Jan Rusz, Juan Rafael Orozco-Arroyave:
Automatic speech-based assessment to discriminate Parkinson's disease from essential tremor with a cross-language approach. - Robert J. H. Miller, Aakash D. Shanbhag, Aditya Killekar, Mark Lemley, Bryan P. Bednarski, Serge D. Van Kriekinge, Paul Kavanagh, Attila Feher, Edward J. Miller, Andrew J. Einstein, Terrence D. Ruddy, Joanna X. Liang, Valerie Builoff, Daniel S. Berman, Damini Dey, Piotr J. Slomka:
AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imaging. - Yu-Yuan Yang, Ming-Yang Ho, Chung-Hwei Tai, Ruey-Meei Wu, Ming-Che Kuo, Yufeng Jane Tseng:
FastEval Parkinsonism: an instant deep learning-assisted video-based online system for Parkinsonian motor symptom evaluation. - Soumik Mandal, Batia Mishan Wiesenfeld, Devin M. Mann, Adam Szerencsy, Eduardo Iturrate, Oded Nov:
Quantifying the impact of telemedicine and patient medical advice request messages on physicians' work-outside-work. - Stephen Gilbert, Katie Baca-Motes, Giorgio Quer, Marc Wiedermann, Dirk Brockmann:
Citizen data sovereignty is key to wearables and wellness data reuse for the common good. - Andrew P. Creagh, Valentin Hamy, Hang Yuan, Gert Mertes, Ryan Tomlinson, Wen-Hung Chen, Rachel Williams, Christopher Llop, Christopher Yee, Mei Sheng Duh, Aiden R. Doherty, Luis Garcia-Gancedo, David A. Clifton:
Digital health technologies and machine learning augment patient reported outcomes to remotely characterise rheumatoid arthritis. - Karin R. Jongsma, Martin Sand, Megan M. Milota:
Why we should not mistake accuracy of medical AI for efficiency. - Christina Schulte, Mathias Harrer, Cedric Sachser, Jasmina Weiss, Anna-Carlotta Zarski:
Internet- and mobile-based psychological interventions for post-traumatic stress symptoms in youth: a systematic review and meta-analysis. - Elma Dervic, Johannes Sorger, Liuhuaying Yang, Michael Leutner, Alexander Kautzky, Stefan Thurner, Alexandra Kautzky-Willer, Peter Klimek:
Unraveling cradle-to-grave disease trajectories from multilayer comorbidity networks. - Yawei Li, Xin Wu, Deyu Fang, Yuan Luo:
Informing immunotherapy with multi-omics driven machine learning. - Karnika Singh, Sarah C. Armstrong, Brooke E. Wagner, Julie Counts, Asheley Skinner, Melissa Kay, Jennifer S. Li, Svati Shah, Nancy Zucker, Cody Neshteruk, Mary Story, Lilianna Suarez, William E. Kraus, Alexandra R. Zizzi, Jessilyn Dunn:
Physical activity and sleep changes among children during the COVID-19 pandemic. - Hana Bangash, Seyedmohammad Saadatagah, Mohammadreza Naderian, Marwan E. Hamed, Lubna Alhalabi, Alborz Sherafati, Joseph Sutton, Omar Elsekaily, Ali Mir, Justin H. Gundelach, Daniel Gibbons, Paul J. Johnsen, Christina M. Wood-Wentz, Carin Y. Smith, Pedro J. Caraballo, Kent R. Bailey, Iftikhar J. Kullo:
Effect of clinical decision support for severe hypercholesterolemia on low-density lipoprotein cholesterol levels. - Yong Yang Yan, Lily Man Lee Chan, Man Ping Wang, Jojo Yan Yan Kwok, Craig S. Anderson, Jung Jae Lee:
Technology-supported behavior change interventions for reducing sodium intake in adults: a systematic review and meta-analysis. - Vera Birrer, Mohamed Elgendi, Olivier Lambercy, Carlo Menon:
Evaluating reliability in wearable devices for sleep staging. - Thomas A. Lasko, Eric V. Strobl, William W. Stead:
Why do probabilistic clinical models fail to transport between sites. - Chao Yan, Monika E. Grabowska, Alyson L. Dickson, Bingshan Li, Zhexing Wen, Dan M. Roden, C. Michael Stein, Peter J. Embí, Josh F. Peterson, QiPing Feng, Bradley A. Malin, Wei-Qi Wei:
Leveraging generative AI to prioritize drug repurposing candidates for Alzheimer's disease with real-world clinical validation. - Li Wang, Xi Chen, Xiangwen Deng, Hao Wen, MingKe You, Weizhi Liu, Qi Li, Jian Li:
Prompt engineering in consistency and reliability with the evidence-based guideline for LLMs. - Md. Mobashir Hasan Shandhi, Karnika Singh, Natasha Janson, Perisa Ashar, Geetika Singh, Baiying Lu, D. Sunshine Hillygus, Jennifer Maddocks, Jessilyn P. Dunn:
Assessment of ownership of smart devices and the acceptability of digital health data sharing. - Christine Manta Campbell, Courtney Webster, Megan Parisi, Roya Sherafat-Kazemzadeh, Jessica Braid, Thomas Switzer, Marcelo Alves Fávaro, Caprice Sassano, Andrea R. Coravos:
An aligned framework of actively collected and passively monitored clinical outcome assessments (COAs) for measure selection. - Shkurta Gashi, Pietro Oldrati, Max Möbus, Marc Hilty, Liliana Barrios, Firat Ozdemir, Veronika Kana, Andreas Lutterotti, Gunnar Rätsch, Christian Holz:
Modeling multiple sclerosis using mobile and wearable sensor data. - Jethro C. C. Kwong, Grace Nickel, Serena C. Y. Wang, Joseph C. Kvedar:
Integrating artificial intelligence into healthcare systems: more than just the algorithm. - James M. Hillis, Jacob J. Visser, Edward R. Scheffer Cliff, Kelly van der Geest-Aspers, Bernardo C. Bizzo, Keith J. Dreyer, Jeremias Adams-Prassl, Katherine P. Andriole:
The lucent yet opaque challenge of regulating artificial intelligence in radiology. - Christopher J. Duckworth, Bethany Cliffe, Brian Pickering, Ben Ainsworth, Alison Blythin, Adam Kirk, Tom M. A. Wilkinson, Michael J. Boniface:
Characterising user engagement with mHealth for chronic disease self-management and impact on machine learning performance. - Yueye Wang, Chi Liu, Wenyi Hu, Lixia Luo, Danli Shi, Jian Zhang, Qiuxia Yin, Lei Zhang, Xiaotong Han, Mingguang He:
Economic evaluation for medical artificial intelligence: accuracy vs. cost-effectiveness in a diabetic retinopathy screening case. - Julie C. Lauffenburger, Elad Yom-Tov, Punam A. Keller, Marie E. McDonnell, Katherine L. Crum, Gauri Bhatkhande, Ellen S. Sears, Kaitlin Hanken, Lily G. Bessette, Constance P. Fontanet, Nancy Haff, Seanna Vine, Niteesh K. Choudhry:
The impact of using reinforcement learning to personalize communication on medication adherence: findings from the REINFORCE trial. - Jay A. Pandit, Jeff B. Pawelek, Bruce Leff, Eric J. Topol:
The hospital at home in the USA: current status and future prospects. - Z. W. Hawks, Edward D. Beck, L. Jung, L. M. Fonseca, Martin J. Sliwinski, Ruth S. Weinstock, E. Grinspoon, I. Xu, R. W. Strong, S. Singh, H. P. A. Van Dongen, M. R. Frumkin, J. Bulger, M. J. Cleveland, K. Janess, Y. C. Kudva, R. Pratley, Michael R. Rickels, S. R. Rizvi, N. S. Chaytor, Laura T. Germine:
Dynamic associations between glucose and ecological momentary cognition in Type 1 Diabetes. - Marium M. Raza, Kaushik P. Venkatesh, Joseph C. Kvedar:
Generative AI and large language models in health care: pathways to implementation. - Tianhao Li, Sandesh Shetty, Advaith Kamath, Ajay Jaiswal, Xiaoqian Jiang, Ying Ding, Yejin Kim:
CancerGPT for few shot drug pair synergy prediction using large pretrained language models. - Rohaid Ali, Ian D. Connolly, Oliver Y. Tang, Fatima N. Mirza, Benjamin Johnston, Hael F. Abdulrazeq, Paul F. Galamaga, Tiffany J. Libby, Neel R. Sodha, Michael W. Groff, Ziya L. Gokaslan, Albert E. Telfeian, John H. Shin, Wael F. Asaad, James Zou, Curtis E. Doberstein:
Bridging the literacy gap for surgical consents: an AI-human expert collaborative approach. - Khaled Saab, Siyi Tang, Mohamed Taha, Christopher Lee-Messer, Christopher Ré, Daniel L. Rubin:
Towards trustworthy seizure onset detection using workflow notes. - Dylan Powell:
Walk, talk, think, see and feel: harnessing the power of digital biomarkers in healthcare. - Mihir A. Kelshiker, Karanjot Chhatwal, Patrik Bachtiger, Josephine Mansell, Nicholas S. Peters, Daniel B. Kramer:
From ether to ethernet: ensuring ethical policy in digital transformation of waitlist triage for cardiovascular procedures. - Simon Hanassab, Ali Abbara, Arthur C. Yeung, Margaritis Voliotis, Krasimira Tsaneva-Atanasova, Tom W. Kelsey, Geoffrey H. Trew, Scott M. Nelson, Thomas Heinis, Waljit S. Dhillo:
The prospect of artificial intelligence to personalize assisted reproductive technology. - Loran Knol, Anisha Nagpal, Imogen E. Leaning, Elena Idda, Faraz Hussain, Emma Ning, Tory A. Eisenlohr-Moul, Christian F. Beckmann, Andre F. Marquand, Alex D. Leow:
Smartphone keyboard dynamics predict affect in suicidal ideation. - Jason Moore, Peter McMeekin, Thomas Parkes, Richard Walker, Rosie Morris, Samuel Stuart, Victoria Hetherington, Alan Godfrey:
Contextualizing remote fall risk: Video data capture and implementing ethical AI. - Brennan M. R. Spiegel, Omer Liran, Allistair Clark, Jamil S. Samaan, Carine Khalil, Robert Chernoff, Kavya Reddy, Muskaan Mehra:
Author Correction: Feasibility of combining spatial computing and AI for mental health support in anxiety and depression. - Teyl Engstrom, Elton H. Lobo, Kristie Watego, Carmel Nelson, Jinxiang Wang, Howard Wong, Sungkyung Linda Kim, Soo In Oh, Michael Lawley, Alain-Dominique Gorse, James Ward, Clair Sullivan:
Indigenous data governance approaches applied in research using routinely collected health data: a scoping review. - Lisa Weik, Leonard Fehring, Achim Mortsiefer, Sven Meister:
Understanding inherent influencing factors to digital health adoption in general practices through a mixed-methods analysis. - Brunilda Balliu, Chris Douglas, Darsol Seok, Liat Shenhav, Yue Wu, Doxa Chatzopoulou, William Kaiser, Victor Chen, Jennifer Kim, Sandeep Deverasetty, Inna Arnaudova, Robert Gibbons, Eliza Congdon, Michelle G. Craske, Nelson B. Freimer, Eran Halperin, Sriram Sankararaman, Jonathan Flint:
Personalized mood prediction from patterns of behavior collected with smartphones. - Davy van de Sande, Eline Fung Fen Chung, Jacobien Oosterhoff, Jasper van Bommel, Diederik Gommers, Michel E. van Genderen:
To warrant clinical adoption AI models require a multi-faceted implementation evaluation.
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