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Reinforcement Learning to Optimize Ventilator Settings for Patients on Invasive Mechanical Ventilation: Retrospective Study

Reinforcement Learning to Optimize Ventilator Settings for Patients on Invasive Mechanical Ventilation: Retrospective Study

We constructed the patient’s state by using 40 relevant physiological features containing demographics, laboratory values, and vital signs (see Table S1 in Multimedia Appendix 1 for the full list). Action: An action at ∈ A is the treatment option that the agent takes at each time step t, which influences the next state st+1.

Siqi Liu, Qianyi Xu, Zhuoyang Xu, Zhuo Liu, Xingzhi Sun, Guotong Xie, Mengling Feng, Kay Choong See

J Med Internet Res 2024;26:e44494

Functionality and Quality of Asthma mHealth Apps and Their Consistency With International Guidelines: Structured Search and Evaluation

Functionality and Quality of Asthma mHealth Apps and Their Consistency With International Guidelines: Structured Search and Evaluation

Following this, the reviewers examined each other’s identified recommendations to see whether a consensus could be reached on the recommendations from the GINA guidelines that could be incorporated into an m Health app. The identified recommendations from each author and those where a consensus was reached, which represent the final identified recommendations, are shown in Table 1.

Billy Robinson, Eleni Proimos, Daniel Zou, Enying Gong, Brian Oldenburg, Katharine See

JMIR Mhealth Uhealth 2024;12:e47295

Influence of Digital Intervention Messaging on Influenza Vaccination Rates Among Adults With Cardiovascular Disease in the United States: Decentralized Randomized Controlled Trial

Influence of Digital Intervention Messaging on Influenza Vaccination Rates Among Adults With Cardiovascular Disease in the United States: Decentralized Randomized Controlled Trial

Participants were blinded to study participation status to minimize observation bias, although all participants agreed that their survey responses and behavioral data would be used for research purposes before completing each survey (see below). All participants were members of the free Achievement mobile health and research platform (Evidation Health, Inc), which includes more than 4 million individuals spanning all 50 states and 90% of zip codes [17].

Nell J Marshall, Jennifer L Lee, Jessica Schroeder, Wei-Nchih Lee, Jermyn See, Mohammad Madjid, Mrudula R Munagala, John D Piette, Litjen Tan, Orly Vardeny, Michael Greenberg, Jan Liska, Monica Mercer, Sandrine Samson

J Med Internet Res 2022;24(10):e38710

Use of Robots in Critical Care: Systematic Review

Use of Robots in Critical Care: Systematic Review

With exponential digital growth over the past century, we will certainly continue to see an increasing overlap between the physical and digital worlds. It is imperative to form strict lines of accountability—shall it lie with the physician who used it, or is the robot’s developer and manufacturer who should be held accountable for any errors? Among the excluded papers, promising potential applications of robots were shown, as elaborated in the following sections.

Rachel Teng, Yichen Ding, Kay Choong See

J Med Internet Res 2022;24(5):e33380

Functionality and Quality of Asthma mHealth Apps and Their Consistency With International Guidelines: Protocol for a Systematic Search and Evaluation of Mobile Apps

Functionality and Quality of Asthma mHealth Apps and Their Consistency With International Guidelines: Protocol for a Systematic Search and Evaluation of Mobile Apps

After each author had identified their recommendations, they came together to see if a consensus could be reached on them. If no consensus could be reached, the plan was for an independent senior member of the team to review the identified recommendations to make a decision. However, this was not required. The authors either identified the same or similar recommendations or agreed with the recommendations that the other authors identified that they did not.

Billy Robinson, Enying Gong, Brian Oldenburg, Katharine See

JMIR Res Protoc 2022;11(2):e33103

The Role of Online Arts and Humanities in Medical Student Education: Mixed Methods Study of Feasibility and Perceived Impact of a 1-Week Online Course

The Role of Online Arts and Humanities in Medical Student Education: Mixed Methods Study of Feasibility and Perceived Impact of a 1-Week Online Course

(2) What do you see that makes you say that? and (3) What more can we find? [7]. In a randomized controlled trial with nonmedical learners, the VTS method has been shown to improve critical thinking skills and has been incorporated in a wide variety of educational settings among a spectrum of child to adult learners [8]. Other activities were facilitated by one or more members of the teaching team, with breakout rooms accommodating the variety of formats for these activities (Table 1).

Kaitlin Stouffer, Heather J Kagan, Margot Kelly-Hedrick, Julia See, Elizabeth Benskin, Suzy Wolffe, Philip Yenawine, Margaret S Chisolm

JMIR Med Educ 2021;7(3):e27923

Artificial Intelligence for COVID-19: Rapid Review

Artificial Intelligence for COVID-19: Rapid Review

Even as we see the situation improving in some countries, others are still struggling to contain the spread of COVID-19. In the face of growing pressure on limited health care resources, the use of AI-driven techniques to aid in diagnosis, surveillance, finding therapeutics, and public health decision making may help improve the efficiency and effectiveness of human efforts to combat the pandemic.

Jiayang Chen, Kay Choong See

J Med Internet Res 2020;22(10):e21476