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ORCIDnpj Digital Medicine, Volume 1
Volume 1, 2018
- Helen Link Egger
, Geraldine Dawson, Jordan Hashemi, Kimberly L. H. Carpenter, Steven Espinosa, Kathleen Campbell, Samuel Brotkin, Jana Schaich Borg, Qiang Qiu, Mariano Tepper, Jeffrey P. Baker, Richard A. Bloomfield Jr., Guillermo Sapiro:
Automatic emotion and attention analysis of young children at home: a ResearchKit autism feasibility study. - John Torous, Honor Hsin:
Empowering the digital therapeutic relationship: virtual clinics for digital health interventions. - Kelvin Kam-fai Tsoi, Nicholas B. Chan, Felix C. H. Chan, Lingling Zhang, Annisa C. H. Lee, Helen Mei-Ling Meng:
How can we better use Twitter to find a person who got lost due to dementia? - James A. Shaw, Payal Agarwal, Laura Desveaux, Daniel Cornejo Palma, Vess Stamenova, Trevor Jamieson, Rebecca Yang, R. Sacha Bhatia, Onil Bhattacharyya:
Beyond "implementation": digital health innovation and service design. - Tim Althoff, Eric Horvitz, Ryen W. White:
Psychomotor function measured via online activity predicts motor vehicle fatality risk. - Eun Kyong Shin, Ruhi Mahajan, Oguz Akbilgic, Arash Shaban-Nejad:
Sociomarkers and biomarkers: predictive modeling in identifying pediatric asthma patients at risk of hospital revisits. - Edieal J. Pinker:
Reporting accuracy of rare event classifiers. - Eleanor R. Gray, Valérian Turbé, Victoria E. Lawson, Robin H. Page, Zara C. Cook, Bridget Ferns, Eleni Nastouli, Deenan Pillay, Hiromi Yatsuda, Dale Athey, Rachel A. McKendry:
Ultra-rapid, sensitive and specific digital diagnosis of HIV with a dual-channel SAW biosensor in a pilot clinical study. - Pearse A. Keane, Eric J. Topol:
With an eye to AI and autonomous diagnosis. - Thibault Asselborn, Thomas Gargot, Lukasz Kidzinski, Wafa Johal, David Cohen, Caroline Jolly, Pierre Dillenbourg:
Automated human-level diagnosis of dysgraphia using a consumer tablet. - Ali Madani, Ramy Arnaout, Mohammad R. K. Mofrad, Rima Arnaout:
Fast and accurate view classification of echocardiograms using deep learning. - P. Murali Doraiswamy, Vaibhav A. Narayan, Husseini K. Manji:
Mobile and pervasive computing technologies and the future of Alzheimer's clinical trials. - Sarah Dunseath, Nadir Weibel, Cinnamon S. Bloss, Camille Nebeker:
NIH support of mobile, imaging, pervasive sensing, social media and location tracking (MISST) research: laying the foundation to examine research ethics in the digital age. - Laura McDonald, Alex Simpson, Sophie Graham, Anna Schultze, Beth Nordstrom, Piyush Durani, Faisal Mehmud, Sreeram V. Ramagopalan:
Google searches do not correlate with melanoma incidence in majority English speaking countries. - Sean D. Delshad, Christopher V. Almario, Garth Fuller, Duong Luong, Brennan M. R. Spiegel:
Economic analysis of implementing virtual reality therapy for pain among hospitalized patients. - Paul Dagum:
Digital biomarkers of cognitive function. - Anoop M. Mayampurath, Samuel L. Volchenboum, L. Nelson Sanchez-Pinto:
Using photoplethysmography data to estimate heart rate variability and its association with organ dysfunction in pediatric oncology patients. - Desmond Upton Patton, Owen Rambow, Jonathan Auerbach, Kevin Li, William R. Frey:
Expressions of loss predict aggressive comments on Twitter among gang-involved youth in Chicago. - Ryen W. White, P. Murali Doraiswamy, Eric Horvitz:
Detecting neurodegenerative disorders from web search signals. - Neofytos Dimitriou, Ognjen Arandjelovic, David J. Harrison, Peter D. Caie:
A principled machine learning framework improves accuracy of stage II colorectal cancer prognosis. - Huong Ly Tong, Liliana Laranjo:
The use of social features in mobile health interventions to promote physical activity: a systematic review. - Alexander L. Fogel, Joseph C. Kvedar:
Artificial intelligence powers digital medicine. - Jocelyn Carter, Yanik J. Bababekov, Maulik D. Majmudar:
Training for our digital future: a human-centered design approach to graduate medical education for aspiring clinician-innovators. - Enrico W. Coiera, Ahmet Baki Kocaballi, John D. Halamka, Liliana Laranjo:
The digital scribe. - John Torous, Patrick C. Staples, Ian Barnett, Luis R. Sandoval, Matcheri S. Keshavan, Jukka-Pekka Onnela:
Characterizing the clinical relevance of digital phenotyping data quality with applications to a cohort with schizophrenia. - Bruce R. Schatz:
Population measurement for health systems. - Shuo Feng, Karen A. Grépin, Rumi Chunara:
Tracking health seeking behavior during an Ebola outbreak via mobile phones and SMS. - Stephen P. Lee, Grace Ha, Don E. Wright, Yinji Ma, Ellora Sen-Gupta, Natalie R. Haubrich, Paul C. Branche, Weihua Li, Gilbert L. Huppert, Matthew Johnson, Hakan B. Mutlu, Kan Li, Nirav Sheth, John A. Wright, Yonggang Huang, Moussa Mansour, John A. Rogers, Roozbeh Ghaffari:
Highly flexible, wearable, and disposable cardiac biosensors for remote and ambulatory monitoring. - Allen Nie, Ashley Zehnder, Rodney López Page, Yuhui Zhang, Arturo López Pineda, Manuel A. Rivas, Carlos D. Bustamante, James Zou:
DeepTag: inferring diagnoses from veterinary clinical notes. - Arash Shaban-Nejad, Martin Michalowski, David L. Buckeridge:
Health intelligence: how artificial intelligence transforms population and personalized health. - Andrew Hua, Zachary Quicksall, Chongzhi Di, Robert W. Motl, Andrea Z. LaCroix, Bruce R. Schatz, David Buchner:
Accelerometer-based predictive models of fall risk in older women: a pilot study. - Jennifer M. Radin, Steven R. Steinhubl, Andrew I. Su, Hansa Bhargava, Benjamin Greenberg, Brian M. Bot, Megan Doerr, Eric J. Topol:
The Healthy Pregnancy Research Program: transforming pregnancy research through a ResearchKit app. - Adam G. Dunn, Kenneth D. Mandl, Enrico W. Coiera:
Social media interventions for precision public health: promises and risks. - Jiandong Wu, Meili Dong, Claudio Rigatto, Yong Liu, Francis Lin:
Lab-on-chip technology for chronic disease diagnosis. - Oyungerel Byambasuren, Sharon Sanders, Elaine Beller, Paul Glasziou:
Prescribable mHealth apps identified from an overview of systematic reviews. - Jena Daniels, Jessey N. Schwartz, Catalin Voss, Nick Haber, Azar Fazel, Aaron Kline, Peter Washington, Carl Feinstein, Terry Winograd, Dennis P. Wall:
Exploratory study examining the at-home feasibility of a wearable tool for social-affective learning in children with autism. - Sarah Sharpe, Bridget Kool, Robyn Whittaker, Arier C. Lee, Papaarangi Reid, Ian Civil, Matthew Walker, Vanessa Thornton, Shanthi Ameratunga:
Effect of a text message intervention to reduce hazardous drinking among injured patients discharged from a trauma ward: a randomized controlled trial. - Sean D. Delshad, Christopher V. Almario, Garth Fuller, Duong Luong, Brennan M. R. Spiegel:
Author Correction: Economic analysis of implementing virtual reality therapy for pain among hospitalized patients. - Benjamin Noah, Michelle S. Keller, Sasan Mosadeghi, Libby Stein, Sunny Johl, Sean Delshad, Vartan C. Tashjian, Daniel Lew, James T. Kwan, Alma Jusufagic, Brennan M. R. Spiegel:
Author Correction: Impact of remote patient monitoring on clinical outcomes: an updated meta-analysis of randomized controlled trials. - Evan D. Muse, Job G. Godino, Jessa F. Netting, James F. Alexander, Helen J. Moran, Eric J. Topol:
From second to hundredth opinion in medicine: A global consultation platform for physicians. - Elena Smets, Emmanuel Rios Velazquez, Giuseppina Schiavone, Imen Chakroun, Ellie D'Hondt, Walter De Raedt, Jan Cornelis, Olivier Janssens, Sofie Van Hoecke, Stephan Claes, Ilse Van Diest, Chris Van Hoof:
Large-scale wearable data reveal digital phenotypes for daily-life stress detection. - Riccardo Miotto, Matteo Danieletto, Jerome R. Scelza, Brian A. Kidd, Joel T. Dudley:
Reflecting health: smart mirrors for personalized medicine. - Honor Hsin, Menachem Fromer, Bret Peterson, Collin Walter, Mathias Fleck, Andrew Campbell, Paul Varghese, Robert M. Califf:
Transforming Psychiatry into Data-Driven Medicine with Digital Measurement Tools. - Adam Sadilek, Stephanie Caty, Lauren DiPrete, Raed Mansour, Tom Schenk Jr., Mark Bergtholdt, Ashish Jha, Prem Ramaswami, Evgeniy Gabrilovich:
Machine-learned epidemiology: real-time detection of foodborne illness at scale. - Alvin Rajkomar, Eyal Oren, Kai Chen, Andrew M. Dai, Nissan Hajaj, Michaela Hardt, Peter J. Liu, Xiaobing Liu, Jake Marcus, Mimi Sun, Patrik Sundberg, Hector Yee, Kun Zhang, Yi Zhang, Gerardo Flores, Gavin E. Duggan, Jamie Irvine, Quoc Le, Kurt Litsch, Alexander Mossin, Justin Tansuwan, De Wang, James Wexler, Jimbo Wilson, Dana Ludwig, Samuel L. Volchenboum, Katherine Chou, Michael Pearson, Srinivasan Madabushi, Nigam H. Shah, Atul J. Butte, Michael D. Howell, Claire Cui, Gregory S. Corrado, Jeffrey Dean:
Scalable and accurate deep learning with electronic health records. - Vijaya B. Kolachalama, Priya S. Garg:
Machine learning and medical education. - Alvin Rajkomar, Andrew M. Dai, Mimi Sun, Michaela Hardt, Kai Chen, Kathryn Rough, Jeffrey Dean:
Reply: metrics to assess machine learning models. - Haider J. Warraich, Robert M. Califf, Harlan M. Krumholz:
The digital transformation of medicine can revitalize the patient-clinician relationship. - Rikesh Patel, Maksim Belousov, Meghna Jani, Nabarun Dasgupta, Carly Winokur, Goran Nenadic, William G. Dixon:
Author Correction: Frequent discussion of insomnia and weight gain with glucocorticoid therapy: an analysis of Twitter posts. - Rikesh Patel, Maksim Belousov, Meghna Jani, Nabarun Dasgupta, Carly Winokur, Goran Nenadic, William G. Dixon:
Frequent discussion of insomnia and weight gain with glucocorticoid therapy: an analysis of Twitter posts. - Ali Madani, Jia Rui Ong, Anshul Tibrewal, Mohammad R. K. Mofrad:
Deep echocardiography: data-efficient supervised and semi-supervised deep learning towards automated diagnosis of cardiac disease. - Yuhao Liu, Limei Tian, Milan S. Raj, Matthew Cotton, Yinji Ma, Siyi Ma, Bryan McGrane, Arjun V. Pendharkar, Nader Dahaleh, Lloyd Olson, Haiwen Luan, Orin Block, Brandon Suleski, Yadong Zhou, Chandrasekaran Jayaraman, Tyler Koski, A. J. Aranyosi, John A. Wright, Arun Jayaraman, Yonggang Huang, Roozbeh Ghaffari, Michel Kliot, John A. Rogers:
Intraoperative monitoring of neuromuscular function with soft, skin-mounted wireless devices. - Elad Yom-Tov, Jinia Shembekar, Sarah Barclay, Peter Muennig:
The effectiveness of public health advertisements to promote health: a randomized-controlled trial on 794, 000 participants. - Scott H. Lee:
Natural language generation for electronic health records. - Enrico W. Coiera, Ahmet Baki Kocaballi, John D. Halamka, Liliana Laranjo:
Author Correction: The digital scribe. - Elad Yom-Tov, Jinia Shembekar, Sarah Barclay, Peter Muennig:
Author Correction: The effectiveness of public health advertisements to promote health: a randomized-controlled trial on 794, 000 participants. - John W. Ayers, Theodore L. Caputi, Camille Nebeker, Mark Dredze:
Don't quote me: reverse identification of research participants in social media studies. - Brian M. Iacoviello, James W. Murrough, Megan M. Hoch, Kathryn M. Huryk, Katherine A. Collins, Gary R. Cutter, Dan V. Iosifescu, Dennis S. Charney:
A randomized, controlled pilot trial of the Emotional Faces Memory Task: a digital therapeutic for depression. - Laura Weiss Roberts, Steven Chan, John Torous:
New tests, new tools: mobile and connected technologies in advancing psychiatric diagnosis. - Mohammad R. Arbabshirani, Brandon K. Fornwalt, Gino J. Mongelluzzo, Jonathan D. Suever, Brandon D. Geise, Aalpen A. Patel, Gregory J. Moore:
Advanced machine learning in action: identification of intracranial hemorrhage on computed tomography scans of the head with clinical workflow integration. - Nicole Martinez-Martin, Thomas R. Insel, Paul Dagum, Henry T. Greely, Mildred K. Cho:
Data mining for health: staking out the ethical territory of digital phenotyping. - Gillian Gresham, Andrew E. Hendifar, Brennan Spiegel, Elad Neeman, Richard Tuli, B. J. Rimel, Robert A. Figlin, Curtis L. Meinert, Steven T. Piantadosi, Arvind M. Shinde:
Wearable activity monitors to assess performance status and predict clinical outcomes in advanced cancer patients. - Kumanan Wilson, Cameron Bell, Lindsay Wilson, Holly O. Witteman:
Agile research to complement agile development: a proposal for an mHealth research lifecycle. - Raheel Ata, Neil Gandhi, Hannah Rasmussen, Osama El-Gabalawy, Santiago Gutierrez, Alizeh Ahmad, Siddharth Suresh, Roshini Ravi, Kara Rothenberg, Oliver Aalami:
Clinical validation of smartphone-based activity tracking in peripheral artery disease patients. - Steven R. Steinhubl, Eric J. Topol:
Digital medicine, on its way to being just plain medicine. - Benjamin Noah, Michelle S. Keller, Sasan Mosadeghi, Libby Stein, Sunny Johl, Sean Delshad, Vartan C. Tashjian, Daniel Lew, James T. Kwan, Alma Jusufagic, Brennan M. R. Spiegel:
Impact of remote patient monitoring on clinical outcomes: an updated meta-analysis of randomized controlled trials. - Rebecca M. Jones, Thaddeus Tarpey, Amarelle Hamo, Caroline Carberry, Catherine Lord:
Smartphone measures of day-to-day behavior changes in children with autism. - Lia E. Gracey, Shiyi Zan, Joseph Gracz, John J. Miner, Jacqueline F. Moreau, Jodi Sperber, Kamal Jethwani, Timothy M. Hale, Joseph C. Kvedar:
Use of user-centered design to create a smartphone application for patient-reported outcomes in atopic dermatitis. - Jonathan M. Clarke, Leigh R. Warren, Sonal Arora, Mauricio Barahona, Ara Darzi:
Guiding interoperable electronic health records through patient-sharing networks. - Timothy B. Plante, Anna C. O'Kelly, Bruno Urrea, Zane T. Macfarlane, Roger S. Blumenthal, Jeanne Charleston, Edgar R. Miller III, Lawrence J. Appel, Seth S. Martin:
User experience of instant blood pressure: exploring reasons for the popularity of an inaccurate mobile health app. - Nicholas Genes, Samantha Violante, Christine Cetrangol, Linda Rogers, Eric E. Schadt, Yu-Feng Yvonne Chan:
From smartphone to EHR: a case report on integrating patient-generated health data. - Myriam Balerna, Arko Ghosh:
The details of past actions on a smartphone touchscreen are reflected by intrinsic sensorimotor dynamics. - Luca Lonini, Andrew Dai, Nicholas Shawen, Tanya Simuni, Cynthia Poon, Leo Shimanovich, Margaret Daeschler, Roozbeh Ghaffari, John A. Rogers, Arun Jayaraman:
Wearable sensors for Parkinson's disease: which data are worth collecting for training symptom detection models. - Annemarie I. Luik, Pedro Farias Machado, Colin A. Espie:
Delivering digital cognitive behavioral therapy for insomnia at scale: does using a wearable device to estimate sleep influence therapy? - Michael D. Abràmoff, Philip T. Lavin, Michele Birch, Nilay Shah, James C. Folk:
Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices.
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