All Stories

  1. Determinants of Energy Consumption in Residential, Commercial, and Industrial Sectors: A Systematic Literature Review
  2. Factors contributing to health outcomes from pesticide exposure among farmers: A systematic review
  3. Impact of Pollution on Cancer: A Systematic Review and Meta-Analysis with Focus on Air Pollution
  4. Predicting Behavioral Reliance on AI-Based Depression Treatment Recommendations Among Engineering Graduate Students: A Pilot Study Using EEG Signals
  5. Human Factors Influencing Trust in Healthcare Artificial Intelligence: Systematic Literature Review
  6. Antecedents of loneliness among cancer survivors: An exploratory analysis of the Health Information National Trends Survey (HINTS) data
  7. Safety and Mental Health Challenges in Emergency Medical Services: A Qualitative Investigation of Rural Paramedic Experiences
  8. U.S. Occupational Medicine Clinicians’ Perceptions and Practices with Respect to Artificial Intelligence Large Language Models: A Mixed-Methods Investigation
  9. Mental Health Safety Challenges Among Pre-Hospital Emergency Medical Service Providers: A Scoping Review
  10. Exploring Patient-Centered Perspectives on Suicidal Ideation: A Mixed-Methods Investigation in Gastrointestinal Cancer Care
  11. Eyes Don’t Lie: Indifferent to AI-Generated Depression Screenings
  12. Occupational safety and health risks of farmers: A qualitative study in Guyana
  13. Impacts of Work Safety Perception on Work Engagement in Tribal Colleges and Universities
  14. Understanding Seatbelt Noncompliance in Law Enforcement: A Systematic Review and Interview Findings
  15. Occupational health risk of farmers: A qualitative study with the agriculture society of trinidad and tobago and the ministry of agriculture, land and fisheries
  16. User Intent to Use DeepSeek for Health Care Purposes and Their Trust in the Large Language Model: Multinational Survey Study
  17. A Study on the Effect of Socioeconomic and Demographic Factors on Energy Consumption in Residential, Commercial, and Industrial Settings
  18. Antecedents of Loneliness Among Cancer Survivors: An Exploratory Analysis of the Health Information National Trends Survey (HINTS) Data
  19. Effectiveness of evidence based mental health apps on user health outcome: A systematic literature review
  20. User Intent to Use DeepSeek for Healthcare Purposes and their Trust in the Large Language Model: Multinational Survey Study
  21. Motor vehicle crashes and seat belt compliance among law enforcement officers: A systematic literature review
  22. User Intent to Use DeepSeek for Healthcare Purposes and their Trust in the Large Language Model: Multinational Survey Study (Preprint)
  23. User Intent to Use DeepSeek for Healthcare Purposes and their Trust in the Large Language Model: Multinational Survey Study
  24. Demographic Disparities and Factors Influencing Cancer Treatment Decision-Making
  25. Loneliness among adult cancer survivors in the United States: prevalence and correlates
  26. Role of Virtual Reality in Improving Home Cancer Care: A Systematic Literature Review
  27. Analysis of Socio-Demographic, Pollution, And Hazard Risk Factors Affecting Life Expectancy In West Virginia: A Multilevel Regression Approach
  28. Behavioral and social predictors of suicidal ideation and attempts among adolescents and young adults
  29. Conceptualizing Clinicians’ Trust in Artificial Intelligence as a Function of Their Expertise, Workload, Patient Outcome, Diagnosis Difficulty, and AI Accuracy: A Systems Thinking Approach
  30. Pilot Training Modalities in Aviation: A Systematic Review of Their Impact on Safety
  31. Workload Factors Influencing Mental Health and the Intent to Leave Job During the COVID-19 Pandemic: A Survey Analysis of Healthcare Workers Handling Mass Fatalities in the United States
  32. Assessing user acceptance of a mental health app & its impact on depression and attention deficit hyperactivity disorder related knowledge: A mixed method experimental study
  33. Clinical Applications of Artificial Intelligence in Occupational Health
  34. Exploring the challenges and risks of dead body handling faced by healthcare professionals during the coronavirus pandemic: Cross sectional survey study
  35. Predicting Suicidal Ideation, Planning, and Attempts among the Adolescent Population of the United States
  36. The Impact of Performance Expectancy, Workload, Risk, and Satisfaction on Trust in ChatGPT: Cross-Sectional Survey Analysis
  37. Large Language Models and User Trust: Consequence of Self-Referential Learning Loop and the Deskilling of Health Care Professionals
  38. Exploring factors influencing user perspective of ChatGPT as a technology that assists in healthcare decision making: A cross sectional survey study
  39. Editorial: Mobile health interventions to address maternal health: ideas, concepts, and interventions
  40. Large Language Models and User Trust: Consequence of Self-Referential Learning Loop and the Deskilling of Health Care Professionals (Preprint)
  41. User trust in a depression screening app when outcomes are labelled as either AI-generated or doctor-generated: a pilot study.
  42. Artificial intelligence in neonatal and pediatric intensive care units
  43. Scoping Review of Wearables in Monitoring Opioid, Tobacco, and Alcohol Abuse: A Potential Intervention for West Virginia
  44. Exploring Patient Centered Perspectives on Suicidal Ideation: A Mixed Methods Investigation in Gastrointestinal Cancer Care
  45. Exploring Patient Centered Perspectives on Suicidal Ideation: A Mixed Methods Investigation in Gastrointestinal Cancer Care. (Preprint)
  46. The Impact of Performance Expectancy, Workload, Risk, and Satisfaction on Trust in ChatGPT: Cross-Sectional Survey Analysis (Preprint)
  47. Exploring factors influencing user perspective of ChatGPT as a technology that assists in healthcare decision making: A cross sectional survey study
  48. Exploring the determinants influencing suicidal ideation and depression in gastrointestinal cancer patients
  49. Examining influential factors in newly diagnosed cancer patients and survivors: Emphasizing distress, self-care ability, peer support, health perception, daily life activity, and the role of time since diagnosis
  50. Care providers’ perception of artificial intelligence: focus on workload, risk, trust, clinical decision-making, and clinical integration.
  51. Exploring Perceptions and Needs of Mobile Health Interventions for Nutrition, Anemia, and Preeclampsia among Pregnant Women in Underprivileged Indian Communities: A Cross-Sectional Survey
  52. Clinicians’ Perceptions of Artificial Intelligence: Focus on Workload, Risk, Trust, Clinical Decision Making, and Clinical Integration
  53. ECG-based heartbeat classification using exponential-political optimizer trained deep learning for arrhythmia detection
  54. Artificially Intelligent? Machine Learning in Healthcare and Why It May Not Be As Advanced As You Think
  55. Investigating the Impact of User Trust on the Adoption and Use of ChatGPT: Survey Analysis
  56. User Intentions to Use ChatGPT for Self-Diagnosis and Health-Related Purposes: Cross-sectional Survey Study
  57. Impact of Social Isolation, Physician-Patient Communication, and Self-perception on the Mental Health of Patients With Cancer and Cancer Survivors: National Survey Analysis
  58. PSSO: Political Squirrel Search Optimizer-Driven Deep Learning for Severity Level Detection and Classification of Lung Cancer
  59. User Intentions to Use ChatGPT for Self-Diagnosis and Health-Related Purposes: Cross-sectional Survey Study (Preprint)
  60. Investigating the Impact of User Trust on the Adoption and Use of ChatGPT: Survey Analysis (Preprint)
  61. Analysis of Mobile App-Based Mental Health Solutions for College Students: A Rapid Review
  62. Impact of Social Isolation, Physician-Patient Communication, and Self-perception on the Mental Health of Patients With Cancer and Cancer Survivors: National Survey Analysis (Preprint)
  63. Effect of patient portals on perception of care quality, general health, and mental health: An exploratory analysis
  64. Impact of accountability, training, and human factors on the use of artificial intelligence in healthcare: Exploring the perceptions of healthcare practitioners in the US
  65. Perception, Trust, and Accountability Affecting Acceptance of Artificial Intelligence
  66. Clinicians’ Perceptions of an Artificial Intelligence–Based Blood Utilization Calculator: Qualitative Exploratory Study
  67. Impact of cognitive workload and situation awareness on clinicians’ willingness to use an artificial intelligence system in clinical practice
  68. Mobile for Mothers mHealth Intervention to Augment Maternal Health Awareness and Behavior of Pregnant Women in Tribal Societies: Randomized Quasi-Controlled Study
  69. Use of Technology for Health-Related Tasks among Older Adults: Trend Analysis of Pre-&-during COVID
  70. Acceptance, initial trust formation, and human biases in artificial intelligence: Focus on clinicians
  71. Factors influencing clinicians' willingness to use an AI-based clinical decision support system
  72. Toward an Ecologically Valid Conceptual Framework for the Use of Artificial Intelligence in Clinical Settings: Need for Systems Thinking, Accountability, Decision-making, Trust, and Patient Safety Considerations in Safeguarding the Technology and Clini...
  73. Artificial Intelligence in NICU and PICU: A Need for Ecological Validity, Accountability, and Human Factors
  74. Effect of risk, expectancy, and trust on clinicians’ intent to use an artificial intelligence system -- Blood Utilization Calculator
  75. Impact of Health Perception and Knowledge on Genetic Testing Decisions Using the Health Belief Model
  76. Clinicians’ Social Support, Job Stress, and Intent to Leave Healthcare during COVID-19
  77. Exploring the Role of the Internet, Care Quality and Communication in Shaping Mental Health: Analysis of the Health Information National Trends Survey
  78. Artificial Intelligence to Improve Health Outcomes in the NICU and PICU: A Systematic Review
  79. Toward an Ecologically Valid Conceptual Framework for the Use of Artificial Intelligence in Clinical Settings: Need for Systems Thinking, Accountability, Decision-making, Trust, and Patient Safety Considerations in Safeguarding the Technology and Clini...
  80. Impact of using wearable devices on psychological Distress: Analysis of the health information national Trends survey
  81. Mobile health technology to improve maternal health awareness in tribal populations: mobile for mothers
  82. Rituximab or plasmapheresis for prevention of recurrent focal segmental glomerulosclerosis after kidney transplantation: A systematic review and meta-analysis
  83. Research Trends in Artificial Intelligence Applications in Human Factors Health Care: Mapping Review
  84. Usability Study of a Novel Collaborative Health IT in a Pediatric Intensive Care Unit
  85. Hepatitis E in solid organ transplant recipients: A systematic review and meta-analysis
  86. Is It Time for Machine Learning Algorithms to Predict the Risk of Kidney Failure in Patients with Chronic Kidney Disease?
  87. Research Trends in Artificial Intelligence Applications in Human Factors Health Care: Mapping Review (Preprint)
  88. Gastrointestinal bleeding among hospitalizations for salicylate poisoning in the United States
  89. Patient–Professional Communication
  90. Augmenting patient safety through participation by design – An assessment of dual monitors for patients in the outpatient clinic
  91. Detecting breast cancer using artificial intelligence: Convolutional neural network
  92. Predicting cancer using supervised machine learning: Mesothelioma
  93. Using machine learning to minimize delays caused by prior authorization: A brief report
  94. The Impact of Double Screen Electronic Health Records on Doctor-Patient Verbal Communication and Sentiment: Comparing White Americans and African Americans
  95. Using Text Mining to Analyze Doctor-Patient Verbal Communication: A Geriatric Depression Case Study
  96. Impact of Gender on Doctor-Patient Communication and Emotion: Exploratory Analysis
  97. Use of machine learning in geriatric clinical care for chronic diseases: a systematic literature review
  98. Human factors: bridging artificial intelligence and patient safety
  99. Role of Artificial Intelligence in Patient Safety Outcomes: Systematic Literature Review
  100. Artificial Intelligence and Human Trust in Healthcare: Focus on Clinicians
  101. Perceived Effectiveness of Artificial Intelligence based Decision Support System in a Clinical Setting: A Systematic Literature Review (Preprint)
  102. Role of Artificial Intelligence in Patient Safety Outcomes: Systematic Literature Review (Preprint)
  103. Forecasting hourly emergency department arrival using time series analysis
  104. Comparing the Impact of Double and Single Screen Electronic Health Records on Doctor-Patient Non-Verbal Communication
  105. Role of Artificial Intelligence, Clinicians & Policymakers in Clinical Decision Making: A Systems Viewpoint
  106. Prognosticating Mesothelioma Using Predictive Analytics
  107. A framework for safeguarding artificial intelligence system within healthcare domain
  108. Artificial Intelligence and Human Trust in Healthcare: Focus on Clinicians (Preprint)
  109. Prediction of patient readmission
  110. Identification of Cancer: Mesothelioma’s Disease Using Logistic Regression and Association Rule
  111. Humanoid Robot: Application and Influence
  112. Prognosis of Autism Using Artificial Neural Networks
  113. A 1 Gb/s deskew IC for RAMBUS automatic test application