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ORCIDnpj Digital Medicine, Volume 4
Volume 4, 2021
- Ashley O'Donoghue
, Tenzin Dechen, Whitney Pavlova, Michael Boals, Garba Moussa, Manvi Madan, Aalok Thakkar, Frank J. DeFalco, Jennifer P. Stevens:
Author Correction: Reopening businesses and risk of COVID-19 transmission. - James A. Diao, Richard J. Chen, Joseph C. Kvedar:
Efficient cellular annotation of histopathology slides with real-time AI augmentation. - Leia Wedlund, Joseph C. Kvedar:
Simulated trials: in silico approach adds depth and nuance to the RCT gold-standard. - Qinmei Xu, Xianghao Zhan, Zhen Zhou, Yiheng Li, Peiyi Xie, Shu Zhang, Xiuli Li, Yizhou Yu, Changsheng Zhou, Longjiang Zhang, Olivier Gevaert, Guangming Lu:
AI-based analysis of CT images for rapid triage of COVID-19 patients. - Chuan Hong, Everett Neil Rush, Molei Liu, Doudou Zhou, Jiehuan Sun, Aaron Sonabend W., Victor M. Castro, Petra Schubert, Vidul Ayakulangara Panickan, Tianrun Cai, Lauren Costa, Zeling He, Nicholas B. Link, Ronald G. Hauser, J. Michael Gaziano, Shawn N. Murphy, George Ostrouchov, Yuk-Lam Ho, Edmon Begoli, Junwei Lu, Kelly Cho, Katherine P. Liao, Tianxi Cai:
Clinical knowledge extraction via sparse embedding regression (KESER) with multi-center large scale electronic health record data. - Zahra Shakeri Hossein Abad, Adrienne S. Kline, Madeena Sultana, Mohammad Noaeen, Elvira Nurmambetova, Filipe R. Lucini, Majed M. Al-Jefri, Joon Lee:
Digital public health surveillance: a systematic scoping review. - A. J. Venkatakrishnan, Colin Pawlowski, David Zemmour, Travis Hughes, Akash Anand, Gabriela Berner, Nikhil Kayal, Arjun Puranik, Ian Conrad, Sairam Bade, Rakesh Barve, Purushottam Sinha, John C. O'Horo, Andrew D. Badley, John D. Halamka, Venky Soundararajan:
Mapping each pre-existing condition's association to short-term and long-term COVID-19 complications. - Brett K. Beaulieu-Jones, William Yuan, Gabriel A. Brat, Andrew L. Beam, Griffin M. Weber, Marshall Ruffin, Isaac S. Kohane:
Machine learning for patient risk stratification: standing on, or looking over, the shoulders of clinicians? - Ryo Yokomizo, Akari Nakamura, Makoto Sato, Risa Nasu, Maaya Hine, Kevin Y. Urayama, Hiroshi Kishi, Haruhiko Sago, Aikou Okamoto, Akihiro Umezawa:
Smartphone application improves fertility treatment-related literacy in a large-scale virtual randomized controlled trial in Japan. - Michael L. Hodgkins, Meg Barron, Shireesha Jevaji, Stacy Lloyd:
Physician requirements for adoption of telehealth following the SARS-CoV-2 pandemic. - Allison Shapiro, Benjamin Bradshaw, Sabine Landes, Petra Kammann, Beatrice Bois De Fer, Wei-Nchih Lee, Robert Lange:
Author Correction: A novel digital approach to describe real world outcomes among patients with constipation. - Jeffrey M. Cochran, Zahra Heidary, Jonathan Knights:
Characterization of activity behavior using a digital medicine system and comparison to medication ingestion in patients with serious mental illness. - Nikhil Mahadevan, Yiorgos Christakis, Junrui Di, Jonathan Bruno, Yao Zhang, Earl Ray Dorsey, Wilfred R. Pigeon, Lisa A. Beck, Kevin Thomas, Yaqi Liu, Madisen Wicker, Chris R. Brooks, Nina Shaafi Kabiri, Jaspreet Bhangu, Carrie Northcott, Shyamal Patel:
Development of digital measures for nighttime scratch and sleep using wrist-worn wearable devices. - Walter De Brouwer, Chirag J. Patel, Arjun K. Manrai, Isaac R. Rodriguez-Chavez, Nirav R. Shah:
Empowering clinical research in a decentralized world. - Peter J. Colvonen:
Response To: Investigating sources of inaccuracy in wearable optical heart rate sensors. - Benjamin Kompa, Jasper Snoek, Andrew L. Beam:
Second opinion needed: communicating uncertainty in medical machine learning. - Tahereh Javaheri, Morteza Homayounfar, Zohreh Amoozgar, Reza Reiazi, Fatemeh Homayounieh, Engy Abbas, Azadeh Laali, Amir Reza Radmard, Mohammad Hadi Gharib, Seyed Ali Javad Mousavi, Omid Ghaemi, Rosa Babaei, Hadi Karimi Mobin, Mehdi Hosseinzadeh, Rana Jahanban-Esfahlan, Khaled Seidi, Mannudeep K. Kalra, Guanglan Zhang, Lubomir T. Chitkushev, Benjamin Haibe-Kains, Reza Malekzadeh, Reza Rawassizadeh:
CovidCTNet: an open-source deep learning approach to diagnose covid-19 using small cohort of CT images. - Matthew Smuck, Charles A. Odonkor, Jonathan K. Wilt, Nicolas Schmidt, Michael A. Swiernik:
The emerging clinical role of wearables: factors for successful implementation in healthcare. - Sharath Chandra Guntuku, Elissa V. Klinger, Haley J. McCalpin, Lyle H. Ungar, David A. Asch, Raina M. Merchant:
Social media language of healthcare super-utilizers. - Yuval Barak-Corren, Pradip Chaudhari, Jessica Perniciaro, Mark Waltzman, Andrew M. Fine, Ben Y. Reis:
Prediction across healthcare settings: a case study in predicting emergency department disposition. - Joy P. Ku, Ida Sim:
Mobile Health: making the leap to research and clinics. - Ning Shang, Atlas Khan, Fernanda Polubriaginof, Francesca Zanoni, Karla Mehl, David Fasel, Paul E. Drawz, Robert J. Carroll, Joshua C. Denny, Matthew A. Hathcock, Adelaide M. Arruda-Olson, Peggy L. Peissig, Richard A. Dart, Murray H. Brilliant, Eric B. Larson, David S. Carrell, Sarah A. Pendergrass, Shefali Setia Verma, Marylyn D. Ritchie, Barbara Benoit, Vivian S. Gainer, Elizabeth W. Karlson, Adam S. Gordon, Gail P. Jarvik, Ian B. Stanaway, David R. Crosslin, Sumit Mohan, Iuliana Ionita-Laza, Nicholas P. Tatonetti, Ali G. Gharavi, George Hripcsak, Chunhua Weng, Krzysztof Kiryluk:
Medical records-based chronic kidney disease phenotype for clinical care and "big data" observational and genetic studies. - Mike D. Rinderknecht, Yannick Klopfenstein:
Predicting critical state after COVID-19 diagnosis: model development using a large US electronic health record dataset. - Yechan Mun, Inyoung Paik, Su-Jin Shin, Tae-Yeong Kwak, Hyeyoon Chang:
Yet Another Automated Gleason Grading System (YAAGGS) by weakly supervised deep learning. - Jana Fehr, Stefan Konigorski, Stephen Olivier, Resign Gunda, Ashmika Surujdeen, Dickman Gareta, Theresa Smit, Kathy Baisley, Sashen Moodley, Yumna Moosa, Willem Hanekom, Olivier Koole, Thumbi Ndung'u, Deenan Pillay, Alison D. Grant, Mark J. Siedner, Christoph Lippert, Emily B. Wong, Anand Ramnanan, Anele Mkhwanazi, Antony Rapulana, Anupa Singh, Ashentha Govender, Ayanda Zungu, Boitsholo Mfolo, Bongani Magwaza, Bongumenzi Ndlovu, Clive Mavimbela, Costa Criticos, Day Munatsi, Dilip Kalyan, Doctar Mlambo, Fezeka Mfeka, Freddy Mabetlela, Gregory Ording-Jespersen, Hannah Keal, Hlengiwe Dlamini, Hlengiwe Khathi, Hlobisile Chonco, Hlobisile Gumede, Hlolisile Khumalo, Hloniphile Ngubane, Hollis Shen, Hosea Kambonde, Innocentia Mpofana, Jabu Kwinda, Jaco Dreyer, Jade Cousins, Jaikrishna Kalideen, Janet Seeley, Kandaseelan Chetty, Kayleen Brien, Kennedy Nyamande, Kgaugelo Moropane, Khabonina Malomane, Khadija Khan, Khanyisani Buthelezi, Kimeshree Perumal, Kobus Herbst, Lindani Mthembu, Logan Pillay, Mandisi Dlamini, Mandlakayise Zikhali, Mbali Mbuyisa, Mbuti Mofokeng, Melusi Sibiya, Mlungisi Dube, Mosa Suleman, Mpumelelo Steto, Mzamo Buthelezi, Nagavelli Padayachi, Nceba Gqaleni, Ngcebo Mhlongo, Nokukhanya Ntshakala, Nomathamsanqa Majozi, Nombuyiselo Zondi, Nomfundo Luthuli, Nomfundo Ngema, Nompilo Buthelezi, Nonceba Mfeka, Nondumiso Khuluse, Nondumiso Mabaso, Nondumiso Zitha, Nonhlanhla Mfekayi, Nonhlanhla Mzimela, Nozipho Mbonambi, Ntombiyenhlanhla Mkhwanazi, Ntombiyenkosi Ntombela, Pamela Ramkalawon, Pfarelo Tshivase, Phakamani Mkhwanazi, Philippa Mathews, Phumelele Mthethwa, Phumla Ngcobo, Ramesh Jackpersad, Raynold Zondo, Rochelle Singh, Rose Myeni, Sanah Bucibo, Sandile Mthembu, Sashin Harilall, Senamile Makhari, Seneme Mchunu, Senzeni Mkhwanazi, Sibahle Gumbi, Siboniso Nene, Sibusiso Mhlongo, Sibusiso Mkhwanazi, Sibusiso Nsibande, Simphiwe Ntshangase, Siphephelo Dlamini, Sithembile Ngcobo, Siyabonga Nsibande, Siyabonga Nxumalo, Sizwe Ndlela, Skhumbuzo Mthombeni, Smangaliso Zulu, Sphiwe Clement Mthembu, Sphiwe Ntuli, Talente Ntimbane, Thabile Zondi, Thandeka Khoza, Thengokwakhe Nkosi, Thokozani Bhengu, Thokozani Simelane, Tshwaraganang Modise, Tumi Madolo, Velile Vellem, Welcome Petros Mthembu, Xolani Mkhize, Zamashandu Mbatha, Zinhle Buthelezi, Zinhle Mthembu, Zizile Sikhosana:
Computer-aided interpretation of chest radiography reveals the spectrum of tuberculosis in rural South Africa. - Visar Berisha, Chelsea Krantsevich, P. Richard Hahn, Shira Hahn, Gautam Dasarathy, Pavan K. Turaga, Julie Liss:
Digital medicine and the curse of dimensionality. - Irene B. Meier, Max Bügler, Robbert L. Harms, Azizi Seixas, Arzu Çöltekin, Ioannis Tarnanas:
Using a Digital Neuro Signature to measure longitudinal individual-level change in Alzheimer's disease: the Altoida large cohort study. - Rishi J. Desai, Michael E. Matheny, Kevin Johnson, Keith Marsolo, Lesley H. Curtis, Jennifer C. Nelson, Patrick J. Heagerty, Judith C. Maro, Jeffrey S. Brown, Sengwee Toh, Michael D. Nguyen, Robert Ball, Gerald J. Dal Pan, Shirley V. Wang, Joshua J. Gagne, Sebastian Schneeweiss:
Broadening the reach of the FDA Sentinel system: A roadmap for integrating electronic health record data in a causal analysis framework. - Farah E. Shamout, Yiqiu Shen, Nan Wu, Aakash Kaku, Jungkyu Park, Taro Makino, Stanislaw Jastrzebski, Jan Witowski, Duo Wang, Ben Zhang, Siddhant Dogra, Meng Cao, Narges Razavian, David Kudlowitz, Lea Azour, William Moore, Yvonne W. Lui, Yindalon Aphinyanaphongs, Carlos Fernandez-Granda, Krzysztof J. Geras:
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department. - Yazeed Zoabi, Shira Deri-Rozov, Noam Shomron:
Machine learning-based prediction of COVID-19 diagnosis based on symptoms. - Akshay S. Chaudhari, Erik Mittra, Guido A. Davidzon, Praveen Gulaka, Harsh Gandhi, Adam Brown, Tao Zhang, Shyam Srinivas, Enhao Gong, Greg Zaharchuk, Hossein Jadvar:
Author Correction: Low-count whole-body PET with deep learning in a multicenter and externally validated study. - Anne M. Finucane, Hannah O'Donnell, Jean Lugton, Tilly Gibson-Watt, Connie Swenson, Claudia Pagliari:
Digital health interventions in palliative care: a systematic meta-review. - Nadav Rakocz, Jeffrey N. Chiang, Muneeswar G. Nittala, Giulia Corradetti, Liran Tiosano, Swetha Velaga, Michael Thompson, Brian L. Hill, Sriram Sankararaman, Jonathan L. Haines, Margaret A. Pericak-Vance, Dwight Stambolian, Srinivas R. Sadda, Eran Halperin:
Automated identification of clinical features from sparsely annotated 3-dimensional medical imaging. - Ananyananda Dasari, Sakthi Kumar Arul Prakash, László A. Jeni, Conrad S. Tucker:
Evaluation of biases in remote photoplethysmography methods. - Supreeth P. Shashikumar, Gabriel Wardi, Atul Malhotra, Shamim Nemati:
Artificial intelligence sepsis prediction algorithm learns to say "I don't know". - Deven McGraw, Kenneth D. Mandl:
Privacy protections to encourage use of health-relevant digital data in a learning health system. - David S. Muntz:
Digital health: how to govern during a never-ending data tsunami. - Leia Wedlund, Joseph C. Kvedar:
Wearables as a tool for measuring therapeutic adherence in behavioral health. - Leia Wedlund, Joseph C. Kvedar:
Innovative new model predicts glucose levels without poking or prodding. - Brinnae Bent, Oana M. Enache, Benjamin Goldstein, Warren A. Kibbe, Jessilyn Dunn:
Reply: Matters Arising 'Investigating sources of inaccuracy in wearable optical heart rate sensors'. - Aravind Natarajan, Hao-Wei Su, Conor Heneghan, Leanna Blunt, Corey O'connor, Logan Niehaus:
Measurement of respiratory rate using wearable devices and applications to COVID-19 detection. - Jennifer L. Lee, Luca Foschini, S. Kumar, J. Juusola, J. Liska, M. Mercer, C. Tai, R. Buzzetti, M. Clement, X. Cos, L. Ji, N. Kanumilli, David Kerr, Eduard Montanya, Dirk Müller-Wieland, C. G. Ostenson, N. Skolnik, V. Woo, N. Burlet, M. Greenberg, Sandrine I. Samson:
Digital intervention increases influenza vaccination rates for people with diabetes in a decentralized randomized trial. - Jeremy Levy, Daniel Álvarez, Aviv A. Rosenberg, Alexandra Alexandrovich, Félix del Campo, Joachim A. Behar:
Digital oximetry biomarkers for assessing respiratory function: standards of measurement, physiological interpretation, and clinical use. - Jiarui Feng, Jennifer Lee, Zachary A. Vesoulis, Fuhai Li:
Predicting mortality risk for preterm infants using deep learning models with time-series vital sign data. - Vincent Wen-Sheng Tseng, Nachiappan Valliappan, Venky Ramachandran, Tanzeem Choudhury, Vidhya Navalpakkam:
Digital biomarker of mental fatigue. - Yulin Hswen, Amanda Zhang, John S. Brownstein:
Estimating the incidence of cocaine use and mortality with music lyrics about cocaine. - Sahar Hojjatinia, Elyse R. Daly, Timothy Hnat, Syed Monowar Hossain, Santosh Kumar, Constantino M. Lagoa, Inbal Nahum-Shani, Shahin Alan Samiei, Bonnie Spring, David E. Conroy:
Dynamic models of stress-smoking responses based on high-frequency sensor data. - Ashley Polhemus, Laura Delgado Ortiz, Gavin Brittain, Nikolaos Chynkiamis, Francesca Salis, Heiko Gaßner, Michaela Gross, Cameron Kirk, Rachele Rossanigo, Kristin Taraldsen, Diletta Balta, Sofie Breuls, Sara Buttery, Gabriela Cardenas, Christoph Endress, Julia Gugenhan, Alison Keogh, Felix Kluge, Sarah Koch, Maria Encarna Micó-Amigo, Corinna Nerz, Chloé Sieber, Parris Williams, Ronny Bergquist, Magda Bosch de Basea, Ellen E. Buckley, Clint Hansen, A. Stefanie Mikolaizak, Lars Schwickert, Kirsty Scott, Sabine Stallforth, Janet van Uem, Beatrix Vereijken, Andrea Cereatti, Heleen Demeyer, Nicholas Hopkinson, Walter Maetzler, Thierry Troosters, Ioannis Vogiatzis, Alison J. Yarnall, Clemens Becker, Judith Garcia-Aymerich, Letizia Leocani, Claudia Mazzà, Lynn Rochester, Basil Sharrack, Anja Frei, Milo A. Puhan:
Walking on common ground: a cross-disciplinary scoping review on the clinical utility of digital mobility outcomes. - Allison Shapiro, Benjamin Bradshaw, Sabine Landes, Petra Kammann, Beatrice Bois De Fer, Wei-Nchih Lee, Robert Lange:
A novel digital approach to describe real world outcomes among patients with constipation. - Dylan M. Richards, Mackenzie J. Tweardy, Steven R. Steinhubl, David W. Chestek, Terry L. Vanden Hoek, Karen A. Larimer, Stephan W. Wegerich:
Wearable sensor derived decompensation index for continuous remote monitoring of COVID-19 diagnosed patients. - Elaine C. Khoong, Kristan Olazo, Natalie A. Rivadeneira, Sneha Thatipelli, Jill Barr-Walker, Valy Fontil, Courtney R. Lyles, Urmimala Sarkar:
Mobile health strategies for blood pressure self-management in urban populations with digital barriers: systematic review and meta-analyses. - Bernhard Kainz, Mattias P. Heinrich, Antonios Makropoulos, Jonas Oppenheimer, Ramin Mandegaran, Shrinivasan Sankar, Christopher Deane, Sven Mischkewitz, Fouad Al-Noor, Andrew C. Rawdin, Andreas Ruttloff, Matthew D. Stevenson, Peter Klein-Weigel, Nicola S. Curry:
Non-invasive diagnosis of deep vein thrombosis from ultrasound imaging with machine learning. - Ellery Wulczyn, David F. Steiner, Melissa Moran, Markus Plass, Robert Reihs, Fraser Tan, Isabelle Flament-Auvigne, Trissia Brown, Peter Regitnig, Po-Hsuan Cameron Chen, Narayan Hegde, Apaar Sadhwani, Robert MacDonald, Benny Ayalew, Gregory S. Corrado, Lily H. Peng, Daniel Tse, Heimo Müller, Zhaoyang Xu, Yun Liu, Martin C. Stumpe, Kurt Zatloukal, Craig H. Mermel:
Interpretable survival prediction for colorectal cancer using deep learning. - Maria Cucciniello, Francesco Petracca, Oriana Ciani, Rosanna Tarricone:
Development features and study characteristics of mobile health apps in the management of chronic conditions: a systematic review of randomised trials. - Linh Pham, Thomas Harris, Mihael Varosanec, Vanessa Morgan, Peter Kosa, Bibiana Bielekova:
Smartphone-based symbol-digit modalities test reliably captures brain damage in multiple sclerosis. - Leia Wedlund, Joseph C. Kvedar:
New machine learning model predicts who may benefit most from COVID-19 vaccination. - Susanne Gaube, Harini Suresh, Martina Raue, Alexander Merritt, Seth J. Berkowitz, Eva Lermer, Joseph F. Coughlin, John V. Guttag, Errol Colak, Marzyeh Ghassemi:
Do as AI say: susceptibility in deployment of clinical decision-aids. - Qian Zhou, Zhihang Chen, Yiheng Cao, Sui Peng:
Clinical impact and quality of randomized controlled trials involving interventions evaluating artificial intelligence prediction tools: a systematic review. - Mathias Perslev, Sune Darkner, Lykke Kempfner, Miki Nikolic, Poul Jørgen Jennum, Christian Igel:
U-Sleep: resilient high-frequency sleep staging. - Akshay S. Chaudhari, Erik Mittra, Guido A. Davidzon, Praveen Gulaka, Harsh Gandhi, Adam Brown, Tao Zhang, Shyam Srinivas, Enhao Gong, Greg Zaharchuk, Hossein Jadvar:
Low-count whole-body PET with deep learning in a multicenter and externally validated study. - Ashley Wu, Matthew A. Scult, Emily D. Barnes, Jessica A. Betancourt, Avital Falk, Faith M. Gunning:
Smartphone apps for depression and anxiety: a systematic review and meta-analysis of techniques to increase engagement. - Berber T. Snoeijer, Mariska Burger, Shaoxiong Sun, Richard J. B. Dobson, Amos A. Folarin:
Measuring the effect of Non-Pharmaceutical Interventions (NPIs) on mobility during the COVID-19 pandemic using global mobility data. - Sangeeta Bhatia, Britta Lassmann, Emily Cohn, Angel N. Desai, Malwina Carrion, Moritz U. G. Kraemer, Mark Herringer, John S. Brownstein, Lawrence C. Madoff, Anne Cori, Pierre Nouvellet:
Using digital surveillance tools for near real-time mapping of the risk of infectious disease spread. - Ania Syrowatka, Masha Kuznetsova, Ava Alsubai, Adam L. Beckman, Paul A. Bain, Kelly J. Thomas Craig, Jianying Hu, Gretchen Purcell Jackson, Kyu Rhee, David W. Bates:
Leveraging artificial intelligence for pandemic preparedness and response: a scoping review to identify key use cases. - Yongli Xu, Man Hu, Hanruo Liu, Hao Yang, Huaizhou Wang, Shuai Lu, Tianwei Liang, Xiaoxing Li, Mai Xu, Liu Li, Huiqi Li, Xin Ji, Zhijun Wang, Li Li, Robert N. Weinreb, Ningli Wang:
A hierarchical deep learning approach with transparency and interpretability based on small samples for glaucoma diagnosis. - Masha Krupenkin, Elad Yom-Tov, David Rothschild:
Vaccine advertising: preach to the converted or to the unaware? - Adam Sadilek, Luyang Liu, Dung Nguyen, Methun Kamruzzaman, Stylianos Serghiou, Benjamin Rader, Alex Ingerman, Stefan Mellem, Peter Kairouz, Elaine O. Nsoesie, Jamie Macfarlane, Anil Vullikanti, Madhav V. Marathe, Paul Eastham, John S. Brownstein, Blaise Agüera y Arcas, Michael D. Howell, John Hernandez:
Privacy-first health research with federated learning. - William J. Gordon, Andrea R. Coravos, Ariel Dora Stern:
Ushering in safe, effective, secure, and ethical medicine in the digital era. - Gabriel Alexander Salg, Maria-Katharina Ganten, Andreas Michael Bucher, Hannes Götz Kenngott, Matthias A. Fink, Constantin Seibold, Ricarda Fischbach, Kai Schlamp, Carlos Alberto Velandia, Philipp Fervers, Felix Doellinger, Anna Luger, Saif Afat, Uta Merle, Markus K. Diener, Philippe L. Pereira, Tobias Penzkofer, Thorsten Persigehl, Ahmed Othman, Claus Peter Heußel, Matthias Baumhauer, Gerlig Widmann, Konstantinos Stathopoulos, Bernd Hamm, Thomas J. Vogl, Konstantin Nikolaou, Hans-Ulrich Kauczor, Jens Kleesiek:
A reporting and analysis framework for structured evaluation of COVID-19 clinical and imaging data. - Mariana Nikolova-Simons, Sara Bersche Golas, Jorn op den Buijs, Ramya Palacholla, Gary Garberg, Allison Orenstein, Joseph C. Kvedar:
A randomized trial examining the effect of predictive analytics and tailored interventions on the cost of care. - Jana Fehr, Stefan Konigorski, Stephen Olivier, Resign Gunda, Ashmika Surujdeen, Dickman Gareta, Theresa Smit, Kathy Baisley, Sashen Moodley, Yumna Moosa, Willem Hanekom, Olivier Koole, Thumbi Ndung'u, Deenan Pillay, Alison D. Grant, Mark J. Siedner, Christoph Lippert, Emily B. Wong, Anand Ramnanan, Anele Mkhwanazi, Antony Rapulana, Anupa Singh, Ashentha Govender, Ayanda Zungu, Boitsholo Mfolo, Bongani Magwaza, Bongumenzi Ndlovu, Clive Mavimbela, Costa Criticos, Day Munatsi, Dilip Kalyan, Doctar Mlambo, Fezeka Mfeka, Freddy Mabetlela, Gregory Ording-Jespersen, Hannah Keal, Hlengiwe Dlamini, Hlengiwe Khathi, Hlobisile Chonco, Hlobisile Gumede, Hlolisile Khumalo, Hloniphile Ngubane, Hollis Shen, Hosea Kambonde, Innocentia Mpofana, Jabu Kwinda, Jaco Dreyer, Jade Cousins, Jaikrishna Kalideen, Janet Seeley, Kandaseelan Chetty, Kayleen Brien, Kennedy Nyamande, Kgaugelo Moropane, Khabonina Malomane, Khadija Khan, Khanyisani Buthelezi, Kimeshree Perumal, Kobus Herbst, Lindani Mthembu, Logan Pillay, Mandisi Dlamini, Mandlakayise Zikhali, Mbali Mbuyisa, Mbuti Mofokeng, Melusi Sibiya, Mlungisi Dube, Mosa Suleman, Mpumelelo Steto, Mzamo Buthelezi, Nagavelli Padayachi, Nceba Gqaleni, Ngcebo Mhlongo, Nokukhanya Ntshakala, Nomathamsanqa Majozi, Nombuyiselo Zondi, Nomfundo Luthuli, Nomfundo Ngema, Nompilo Buthelezi, Nonceba Mfeka, Nondumiso Khuluse, Nondumiso Mabaso, Nondumiso Zitha, Nonhlanhla Mfekayi, Nonhlanhla Mzimela, Nozipho Mbonambi, Ntombiyenhlanhla Mkhwanazi, Ntombiyenkosi Ntombela, Pamela Ramkalawon, Pfarelo Tshivase, Phakamani Mkhwanazi, Philippa Mathews, Phumelele Mthethwa, Phumla Ngcobo, Ramesh Jackpersad, Raynold Zondo, Rochelle Singh, Rose Myeni, Sanah Bucibo, Sandile Mthembu, Sashin Harilall, Senamile Makhari, Seneme Mchunu, Senzeni Mkhwanazi, Sibahle Gumbi, Siboniso Nene, Sibusiso Mhlongo, Sibusiso Mkhwanazi, Sibusiso Nsibande, Simphiwe Ntshangase, Siphephelo Dlamini, Sithembile Ngcobo, Siyabonga Nsibande, Siyabonga Nxumalo, Sizwe Ndlela, Skhumbuzo Mthombeni, Smangaliso Zulu, Sphiwe Clement Mthembu, Sphiwe Ntuli, Talente Ntimbane, Thabile Zondi, Thandeka Khoza, Thengokwakhe Nkosi, Thokozani Bhengu, Thokozani Simelane, Tshwaraganang Modise, Tumi Madolo, Velile Vellem, Welcome Petros Mthembu, Xolani Mkhize, Zamashandu Mbatha, Zinhle Buthelezi, Zinhle Mthembu, Zizile Sikhosana:
Publisher Correction: Computer-aided interpretation of chest radiography reveals the spectrum of tuberculosis in rural South Africa. - David M. Levine, Pragya Kakani, Ateev Mehrotra:
Randomized controlled study using text messages to help connect new medicaid beneficiaries to primary care. - Po-Chih Kuo, Cheng Che Tsai, Diego M. López, Alexandros Karargyris, Tom J. Pollard, Alistair E. W. Johnson, Leo Anthony Celi:
Recalibration of deep learning models for abnormality detection in smartphone-captured chest radiograph. - Arne Peine, Ahmed Hallawa, Johannes Bickenbach, Guido Dartmann, Lejla Begic Fazlic, Anke Schmeink, Gerd Ascheid, Christoph Thiemermann, Andreas Schuppert, Ryan Kindle, Leo A. Celi, Gernot Marx, Lukas Martin:
Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care. - Scott H. Kollins, Ann Childress, Andrew C. Heusser, Jacqueline Lutz:
Effectiveness of a digital therapeutic as adjunct to treatment with medication in pediatric ADHD. - Robert Amelard, Eric T. Hedge, Richard Lee Hughson:
Temporal convolutional networks predict dynamic oxygen uptake response from wearable sensors across exercise intensities. - Khalil B. Ramadi, Freddy T. Nguyen:
Rapid crowdsourced innovation for COVID-19 response and economic growth. - Seth Carmody, Andrea R. Coravos, Ginny Fahs, Audra Hatch, Janine Medina, Beau Woods, Joshua Corman:
Building resilient medical technology supply chains with a software bill of materials. - Payal Agarwal, Dara Gordon, Janessa Griffith, Natasha Kithulegoda, Holly O. Witteman, R. Sacha Bhatia, Andre W. Kushniruk, Elizabeth M. Borycki, Lise Lamothe, Elena Springall, James A. Shaw:
Assessing the quality of mobile applications in chronic disease management: a scoping review. - Mathieu Ravaut, Hamed Sadeghi, Kin Kwan Leung, Maksims Volkovs, Kathy Kornas, Vinyas Harish, Tristan Watson, Gary F. Lewis, Alanna Weisman, Tomi Poutanen, Laura C. Rosella:
Predicting adverse outcomes due to diabetes complications with machine learning using administrative health data. - Yi Sun, Jianfeng Wang, Jindou Shi, Stephen A. Boppart:
Synthetic polarization-sensitive optical coherence tomography by deep learning. - Sercan Ö. Arik, Joel Shor, Rajarishi Sinha, Jinsung Yoon, Joseph R. Ledsam, Long T. Le, Michael W. Dusenberry, Nathanael C. Yoder, Kris Popendorf, Arkady Epshteyn, Johan Euphrosine, Elli Kanal, Isaac Jones, Chun-Liang Li, Beth Luan, Joe Mckenna, Vikas Menon, Shashank Singh, Mimi Sun, Ashwin Sura Ravi, Leyou Zhang, Dario Sava, Kane Cunningham, Hiroki Kayama, Thomas C. Tsai, Daisuke Yoneoka, Shuhei Nomura, Hiroaki Miyata, Tomas Pfister:
A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan. - Yixiang Deng, Lu Lu, Laura Aponte, Angeliki M. Angelidi, Vera Novak, George Em Karniadakis, Christos S. Mantzoros:
Deep transfer learning and data augmentation improve glucose levels prediction in type 2 diabetes patients. - Si-Hyuck Kang, Hyunyoung Baek, Jihoon Cho, Seok Kim, Hee Hwang, Wonjae Lee, Jin Joo Park, Yeonyee E. Yoon, Chang-Hwan Yoon, Young-Seok Cho, Tae-Jin Youn, Goo-Yeong Cho, In-Ho Chae, Dong-Ju Choi, Sooyoung Yoo, Jung-Won Suh:
Management of cardiovascular disease using an mHealth tool: a randomized clinical trial. - Emma H. Schwager, Katharina Jansson, Asif Rahman, S. Schiffer, Yale Chang, Gregory Boverman, Brian Gross, Minnan Xu-Wilson, P. Boehme, Hubert Truebel, Joseph J. Frassica:
Utilizing machine learning to improve clinical trial design for acute respiratory distress syndrome. - Chao Fang, Dong Xu, Jing Su, Jonathan R. Dry, Bolan Linghu:
DeePaN: deep patient graph convolutional network integrating clinico-genomic evidence to stratify lung cancers for immunotherapy. - Negar Farzaneh, Craig A. Williamson, Jonathan Gryak, Kayvan Najarian:
A hierarchical expert-guided machine learning framework for clinical decision support systems: an application to traumatic brain injury prognostication. - Tsegahun Manyazewal, Yimtubezinash Woldeamanuel, Henry M. Blumberg, Abebaw Fekadu, Vincent C. Marconi:
The potential use of digital health technologies in the African context: a systematic review of evidence from Ethiopia. - Jiandong Zhou, Sharen Lee, Xiansong Wang, Yi Li, William Ka Kei Wu, Tong Liu, Zhidong Cao, Daniel Dajun Zeng, Keith Sai Kit Leung, Abraham Ka Chung Wai, Ian Chi Kei Wong, Bernard Man Yung Cheung, Qingpeng Zhang, Gary Tse:
Development of a multivariable prediction model for severe COVID-19 disease: a population-based study from Hong Kong. - Tina Lu, Ben Y. Reis:
Internet search patterns reveal clinical course of COVID-19 disease progression and pandemic spread across 32 countries. - Kirstin Aschbacher, Christian S. Hendershot, Geoffrey H. Tison, Judith A. Hahn, Robert Avram, Jeffrey E. Olgin, Gregory M. Marcus:
Machine learning prediction of blood alcohol concentration: a digital signature of smart-breathalyzer behavior. - Laura C. Schubel, Deliya B. Wesley, Ethan Booker</