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Why AI Monitoring Faces Resistance and What Healthcare Organizations Can Do About It: An Emotion-Based Perspective

Why AI Monitoring Faces Resistance and What Healthcare Organizations Can Do About It: An Emotion-Based Perspective

However, novel solutions such as AI monitoring often encounter resistance from users [8,9]. Such resistance is usually attributed to users’ risk aversion toward innovation [10], sometimes called “liability of newness” [11], and their cognitive assessments of the costs and benefits of AI.

Karl Werder, Lan Cao, Eun Hee Park, Balasubramaniam Ramesh

J Med Internet Res 2025;27:e51785

Optimizing a Classification Model to Evaluate Individual Susceptibility in Noise-Induced Hearing Loss: Cross-Sectional Study

Optimizing a Classification Model to Evaluate Individual Susceptibility in Noise-Induced Hearing Loss: Cross-Sectional Study

Creating a standardized and effective method to identify susceptible and resistant individuals could help to advance research on NIHL (eg, identifying the genetics of NIHL susceptibility and resistance) and aid in its prevention. There is currently a lack of agreement among existing models regarding the most effective procedure to identify NIHL-susceptible or NIHL-resistant individuals.

Shiyuan Li, Xiao Yu, Xinrong Ma, Ying Wang, Junjie Guo, Jiping Wang, Wenxin Shen, Hongyu Dong, Richard Salvi, Hui Wang, Shankai Yin

JMIR Public Health Surveill 2024;10:e60373

Using the Preparation Phase of the Multiphase Optimization Strategy to Design an Antiextremism Program in Bahrain: Formative and Pilot Research

Using the Preparation Phase of the Multiphase Optimization Strategy to Design an Antiextremism Program in Bahrain: Formative and Pilot Research

We created a measure of resistance skills self-efficacy based on skills students learn in the keepin’ it REAL D.A.R.E. curriculum [24] as well as the current antiextremism and peaceful coexistence lessons: Refuse, Explain, Avoid, Leave (ie, REAL).

Kelly Rulison, GracieLee Weaver, Jeffrey Milroy, Emily Beamon, Samantha Kelly, Ali Ameeni, Amina Juma, Fadhel Abualgasim, Jaafar Husain, David Wyrick

JMIR Form Res 2024;8:e58322

Resistance Training in Patients After Metabolic and Bariatric Surgery: Protocol for a Systematic Review

Resistance Training in Patients After Metabolic and Bariatric Surgery: Protocol for a Systematic Review

Resistance training is defined as a form of physical activity that is designed to improve muscular fitness by exercising a muscle or a muscle group against any external resistance [6]. This can include modalities such as machines, free weights, bands, and body weight movements. Resistance training should be implemented to mitigate sarcopenia or skeletal muscle loss, which has in turn been shown to improve strength in patients who have undergone MBS [9-11].

Whitney Elks, Adam Rooks, Spencer Schulte, Kavita Batra, Jocelyn Burke, Varun Jain

JMIR Res Protoc 2023;12:e49513

The National and Global Impact of Systemic and Structural Violence on the Effective Prevention, Treatment, and Management of COVID-19 in African or Black Communities: Protocol for a Scoping Review

The National and Global Impact of Systemic and Structural Violence on the Effective Prevention, Treatment, and Management of COVID-19 in African or Black Communities: Protocol for a Scoping Review

In most African countries, the response to the COVID-19 pandemic has been challenging due to continued colonial impacts, which lead to distrust in the government, and social, cultural, and religious resistance [15]. The COVID-19 global pandemic has exposed the world inequities and the racially based colonial demarcations with the North/South as the main geographical and sociological anchors [16].

Roberta Timothy, Robert Ainsley Chin-see, Julia Martyniuk, Pascal Djiadeu

JMIR Res Protoc 2022;11(10):e40381

Identity Threats as a Reason for Resistance to Artificial Intelligence: Survey Study With Medical Students and Professionals

Identity Threats as a Reason for Resistance to Artificial Intelligence: Survey Study With Medical Students and Professionals

Such negative attitudes toward new technology can manifest as resistance attitudes, resulting in hesitation toward adopting a technology [9] and even in active resentment against using a technology in clinical practice [10]. Although multiple studies have investigated attitudes toward AI [11-13], they did not consider how resistance attitudes toward AI are formed.

Ekaterina Jussupow, Kai Spohrer, Armin Heinzl

JMIR Form Res 2022;6(3):e28750

Implementation of the World Health Organization Global Antimicrobial Resistance Surveillance System in Uganda, 2015-2020: Mixed-Methods Study Using National Surveillance Data

Implementation of the World Health Organization Global Antimicrobial Resistance Surveillance System in Uganda, 2015-2020: Mixed-Methods Study Using National Surveillance Data

Bacterial recovery rates from priority specimens collected from 10 surveillance sites, October 2015 to June 2020. a N/A: not applicable. b GLASS: Global Laboratory Antimicrobial Resistance Surveillance System. Resistance patterns for the most commonly isolated gram-negative bacteria, that is, E coli, Neisseria gonorrhoeae, Shigella sp, and Salmonella sp are shown in Table 3, with all gram-negative bacteria showing resistance to each of the tested antibiotics.

Susan Nabadda, Francis Kakooza, Reuben Kiggundu, Richard Walwema, Joel Bazira, Jonathan Mayito, Ibrahimm Mugerwa, Musa Sekamatte, Andrew Kambugu, Mohammed Lamorde, Henry Kajumbula, Henry Mwebasa

JMIR Public Health Surveill 2021;7(10):e29954

Radiation Oncologists’ Perceptions of Adopting an Artificial Intelligence–Assisted Contouring Technology: Model Development and Questionnaire Study

Radiation Oncologists’ Perceptions of Adopting an Artificial Intelligence–Assisted Contouring Technology: Model Development and Questionnaire Study

Although the benefits of AI assistance appear to be obvious, like all forms of change, the adoption of AI technology might be met with resistance, especially within health care settings; it has been said that the only constant is change [9]. There is much hope and fear surrounding such technologies, and this fear can manifest as resistance from both health care professionals and patients [10].

Huiwen Zhai, Xin Yang, Jiaolong Xue, Christopher Lavender, Tiantian Ye, Ji-Bin Li, Lanyang Xu, Li Lin, Weiwei Cao, Ying Sun

J Med Internet Res 2021;23(9):e27122

Assessment of the Feasibility, Acceptability, and Impact of Implementing Seasonal Malaria Chemoprevention in Nampula Province, Mozambique: Protocol for a Hybrid Effectiveness-Implementation Study

Assessment of the Feasibility, Acceptability, and Impact of Implementing Seasonal Malaria Chemoprevention in Nampula Province, Mozambique: Protocol for a Hybrid Effectiveness-Implementation Study

Resistance to SP or AQ may reduce the efficacy of SMC in protecting children against clinical malaria, although the relationship between the degree of resistance and the effectiveness of SMC has not yet been clearly defined. SP efficacy is threatened by drug resistance due to mutations in the dihydrofolate reductase (dhfr) and dihydropteroate synthetase (dhps) genes [17].

Alexandra Nicholas Wharton-Smith, Kevin Baker, Arantxa Roca-Feltrer, Maria Rodrigues, Sol Richardson, Craig A Bonnington, Christian Rassi, Madeleine Marasciulo, Sonia Enosse, Francisco Saute, Pedro Aide, Eusebio Macete, Baltazar Candrinho

JMIR Res Protoc 2021;10(9):e27855