| P50 | author | Fei-Fei Li | Q18686107 |
| | Serena Yeung-Levy | Q91869540 |
| | Francesca Rinaldo | Q91869545 |
| | Bingbin Liu | Q91869549 |
| | Michelle Guo | Q91869554 |
| P2093 | author name string | Julia Lee | |
| | Kayla Deru | |
| | William Beninati | |
| | Arnold Milstein | |
| | N Lance Downing | |
| | Alexandre Alahi | |
| | Brandi Campbell | |
| | Gabriel M Bianconi | |
| | Jeffrey Jopling | |
| | Rishab Mehra | |
| P2860 | cites work | Early Mobilization in the Intensive Care Unit to Improve Long-Term Recovery | Q91490732 |
| | Long-term Cognitive Impairment and Functional Disability Among Survivors of Severe Sepsis | Q24628579 |
| | The effects of active mobilisation and rehabilitation in ICU on mortality and function: a systematic review. | Q30240979 |
| | Early Mobilization and Rehabilitation of Patients Who Are Critically Ill. | Q30251749 |
| | Data-driven spatio-temporal RGBD feature encoding for action recognition in operating rooms | Q30924915 |
| | Improving long-term outcomes after discharge from intensive care unit: report from a stakeholders' conference | Q34219343 |
| | Disability in activities of daily living, depression, and quality of life among older medical ICU survivors: a prospective cohort study | Q34585515 |
| | Receiving early mobility during an intensive care unit admission is a predictor of improved outcomes in acute respiratory failure | Q34861207 |
| | Deep Residual Learning for Image Recognition | Q35464016 |
| | Functional status and quality of life 12 months after discharge from a medical ICU in healthy elderly patients: a prospective observational study | Q35559529 |
| | Long-term treated intensive care patients outcomes: the one-year mortality rate, quality of life, health care use and long-term complications as reported by general practitioners | Q35804106 |
| | Identifying Barriers to Delivering the Awakening and Breathing Coordination, Delirium, and Early Exercise/Mobility Bundle to Minimize Adverse Outcomes for Mechanically Ventilated Patients: A Systematic Review. | Q36355628 |
| | Measuring Patient Mobility in the ICU Using a Novel Noninvasive Sensor | Q38909383 |
| | Early Mobilization Reduces Duration of Mechanical Ventilation and Intensive Care Unit Stay in Patients With Acute Respiratory Failure. | Q39097485 |
| | Introducing RFID technology in dynamic and time-critical medical settings: requirements and challenges. | Q45910514 |
| | ICU early mobilization: from recommendation to implementation at three medical centers | Q46047378 |
| | Prospective observation of physical activity in critically ill patients who were intubated for more than 48 hours | Q47985269 |
| | One-year outcomes in survivors of the acute respiratory distress syndrome. | Q51685440 |
| | Early exercise in critically ill patients enhances short-term functional recovery. | Q51818904 |
| | Early physical and occupational therapy in mechanically ventilated, critically ill patients: a randomised controlled trial. | Q51830028 |
| | How to solve the cost crisis in health care. | Q51853267 |
| | Validity of the AM-PAC "6-Clicks" inpatient daily activity and basic mobility short forms. | Q53130266 |
| | Measuring nominal scale agreement among many raters | Q56518939 |
| | ImageNet Large Scale Visual Recognition Challenge | Q56594393 |
| | Early intervention (mobilization or active exercise) for critically ill adults in the intensive care unit | Q57556812 |
| | Bedside Computer Vision - Moving Artificial Intelligence from Driver Assistance to Patient Safety | Q62496440 |
| P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P921 | main subject | deep learning | Q197536 |
| P304 | page(s) | 11 | |
| P577 | publication date | 2019-03-01 | |
| P1433 | published in | npj Digital Medicine | Q73908508 |
| P1476 | title | A computer vision system for deep learning-based detection of patient mobilization activities in the ICU | |
| P478 | volume | 2 | |