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Chatbot for the Return of Positive Genetic Screening Results for Hereditary Cancer Syndromes: Prompt Engineering Project
Chatbot for the Return of Positive Genetic Screening Results for Hereditary Cancer Syndromes: Prompt Engineering Project
The increasing demand for population-wide genomic screening (PGS) and the limited availability of genetic counseling resou...
Development of a Mobile App to Support Head and Neck Cancer Caregiving: Mixed Methods Study
Development of a Mobile App to Support Head and Neck Cancer Caregiving: Mixed Methods Study
Background: Head and neck cancer (HNC) survivors face challenging treatment consequences that can lead to severe disruptio...
Next-Generation Sequencing–Based Testing Among Patients With Advanced or Metastatic Nonsquamous Non–Small Cell Lung Cancer in the United States: Predictive Modeling Using Machine Learning Methods
Next-Generation Sequencing–Based Testing Among Patients With Advanced or Metastatic Nonsquamous Non–Small Cell Lung Cancer in the United States: Predictive Modeling Using Machine Learning Methods
Background: Next-generation sequencing (NGS) has become a cornerstone of treatment for lung cancer and is recommended in c...
Examining How Technology Supports Shared Decision-Making in Oncology Consultations: Qualitative Thematic Analysis
Examining How Technology Supports Shared Decision-Making in Oncology Consultations: Qualitative Thematic Analysis
Background: Commonly used digital health technologies, such as electronic health record systems and patient portals as wel...
Implementation of a Quality Improvement and Clinical Decision Support Tool for Cancer Diagnosis in Primary Care: Process Evaluation
Implementation of a Quality Improvement and Clinical Decision Support Tool for Cancer Diagnosis in Primary Care: Process Evaluation
Background: Delays in the diagnosis of cancer can occur when abnormal test results are not adequately followed-up in gener...
Leveraging Artificial Intelligence for Digital Symptom Management in Oncology: The Development of CRCWeb
Leveraging Artificial Intelligence for Digital Symptom Management in Oncology: The Development of CRCWeb
Digital health interventions offer promise for scalable and accessible healthcare, but access is still limited by some par...
Predicting Early-Onset Colorectal Cancer in Individuals Below Screening Age Using Machine Learning and Real-World Data: Case Control Study
Predicting Early-Onset Colorectal Cancer in Individuals Below Screening Age Using Machine Learning and Real-World Data: Case Control Study
Background: Colorectal cancer (CRC) is now the leading cause of cancer-related deaths among young Americans. Accurate earl...
Family Experiences, Needs, and Perceptions in Home-Based Hospice Care for Patients With Terminal Cancer: Meta-Synthesis and Systematic Review
Family Experiences, Needs, and Perceptions in Home-Based Hospice Care for Patients With Terminal Cancer: Meta-Synthesis and Systematic Review
Background: Home-based hospice care offers terminal cancer patients the comfort of receiving care in a familiar environmen...
Clinical Prediction Models Incorporating Blood Test Trend for Cancer Detection: Systematic Review, Meta-Analysis, and Critical Appraisal
Clinical Prediction Models Incorporating Blood Test Trend for Cancer Detection: Systematic Review, Meta-Analysis, and Critical Appraisal
Background: Blood tests used to identify patients at increased risk of undiagnosed cancer are commonly used in isolation, ...
Perception and Counseling for Cardiac Health in Breast Cancer Survivors Using the Health Belief Model: Qualitative Analysis
Perception and Counseling for Cardiac Health in Breast Cancer Survivors Using the Health Belief Model: Qualitative Analysis
Breast Cancer (BC) survivors are at increased risk of cardiovascular (CV) disease. Semi-structured interviews were conduct...
Needs of Patients With Gynecologic Cancer and Their Caregivers for Obtaining mHealth-Supported Self-Management: Focus Group Study
Needs of Patients With Gynecologic Cancer and Their Caregivers for Obtaining mHealth-Supported Self-Management: Focus Group Study
Background: Family caregivers of individuals with gynecologic cancer experience high levels of distress. Web-based caregiv...
Artificial Intelligence for Optimizing Cancer Imaging: User Experience Study
Artificial Intelligence for Optimizing Cancer Imaging: User Experience Study
Background: The need for increased clinical efficacy and efficiency has been the main force in developing artificial intel...
Association of Family-Centered Care With Psychological Distress Among Caregivers of Children With Cancer at a Tertiary-Level Hospital in Ethiopia: Cross-Sectional Study
Association of Family-Centered Care With Psychological Distress Among Caregivers of Children With Cancer at a Tertiary-Level Hospital in Ethiopia: Cross-Sectional Study
Background: Psychological distress (PD) is a common mental health problem faced by caregivers of children with cancer. The...
An mHealth App to Support Caregivers in the Medical Management of Their Child With Cancer: Beta Stage Usability Study
An mHealth App to Support Caregivers in the Medical Management of Their Child With Cancer: Beta Stage Usability Study
Background: Previous research demonstrated that caregivers of children with cancer desired a mobile health (mHealth) tool ...
Development of an Educational Website for Patients With Cancer and Preexisting Autoimmune Diseases Considering Immune Checkpoint Blockers: Usability and Acceptability Study
Development of an Educational Website for Patients With Cancer and Preexisting Autoimmune Diseases Considering Immune Checkpoint Blockers: Usability and Acceptability Study
Background: Patients with cancer and an underlying autoimmune disease who are considering immune checkpoint blockers (ICBs...
Impact of Patient Personality on Adherence to Oral Anticancer Medications: An Opportunity?
Impact of Patient Personality on Adherence to Oral Anticancer Medications: An Opportunity?
Adherence to prescribed oral anticancer therapy is an important determinant of patient outcomes, including progression-fre...
Uncovering the Daily Experiences of People Living With Advanced Cancer Using an Experience Sampling Method Questionnaire: Development, Content Validation, and Optimization Study
Uncovering the Daily Experiences of People Living With Advanced Cancer Using an Experience Sampling Method Questionnaire: Development, Content Validation, and Optimization Study
Background: The experience sampling method (ESM), a self-report method that typically uses multiple assessments per day, c...
Oral Cancer Incidence Among Adult Males With Current or Former Use of Cigarettes or Smokeless Tobacco: Population-Based Study
Oral Cancer Incidence Among Adult Males With Current or Former Use of Cigarettes or Smokeless Tobacco: Population-Based Study
Background: Tobacco use has been identified as a risk factor for oral cancer worldwide. However, relative oral cancer inci...
Scope, Findability, and Quality of Information About Music-Based Interventions in Oncology: Quantitative Content Analysis of Public-Facing Websites at National Cancer Institute–Designated Cancer Centers
Scope, Findability, and Quality of Information About Music-Based Interventions in Oncology: Quantitative Content Analysis of Public-Facing Websites at National Cancer Institute–Designated Cancer Centers
Background: Music-based interventions (MBIs) are evidence-based, non-pharmacological treatments that include music therapy...
Experiences of a Digital Behavior Change Intervention to Prevent Weight Gain and Promote Risk-Reducing Health Behaviors for Women Aged 18 to 35 Years at Increased Risk of Breast Cancer: Qualitative Interview Study
Experiences of a Digital Behavior Change Intervention to Prevent Weight Gain and Promote Risk-Reducing Health Behaviors for Women Aged 18 to 35 Years at Increased Risk of Breast Cancer: Qualitative Interview Study
Background: Breast cancer is the most common form of cancer in women. Adult weight gain and modifiable health behaviors, i...
Real-World Survival Comparisons Between Radiotherapy and Surgery for Metachronous Second Primary Lung Cancer and Predictions of Lung Cancer–Specific Outcomes Using Machine Learning: Population-Based Study
Real-World Survival Comparisons Between Radiotherapy and Surgery for Metachronous Second Primary Lung Cancer and Predictions of Lung Cancer–Specific Outcomes Using Machine Learning: Population-Based Study
Background: Metachronous second primary lung cancer (MSPLC) is not that rare but is seldom studied. Objective: We aim to c...
Heart Rate Monitoring Among Breast Cancer Survivors: Quantitative Study of Device Agreement in a Community-Based Exercise Program
Heart Rate Monitoring Among Breast Cancer Survivors: Quantitative Study of Device Agreement in a Community-Based Exercise Program
Background: Exercise intensity (eg, target heart rate [HR]) is a fundamental component of exercise prescription to elicit ...
Digital Smoking Cessation Intervention for Cancer Survivors: Analysis of Predictors and Moderators of Engagement and Outcome Alongside a Randomized Controlled Trial
Digital Smoking Cessation Intervention for Cancer Survivors: Analysis of Predictors and Moderators of Engagement and Outcome Alongside a Randomized Controlled Trial
Background: Recent studies have shown positive, though small, clinical effects of digital smoking cessation (SC) intervent...
Applying the Unified Theory of Acceptance and Use of Technology to Identify Factors Associated With Intention to Use Teledelivered Supportive Care Among Recently Diagnosed Breast Cancer Survivors During COVID-19 in Hong Kong: Cross-Sectional Survey
Applying the Unified Theory of Acceptance and Use of Technology to Identify Factors Associated With Intention to Use Teledelivered Supportive Care Among Recently Diagnosed Breast Cancer Survivors During COVID-19 in Hong Kong: Cross-Sectional Survey
Background: Many supportive cancer care (SCC) services were teledelivered during COVID-19, but what facilitates patients’ ...
Usability and Preliminary Efficacy of an Adaptive Supportive Care System for Patients With Cancer: Pilot Randomized Controlled Trial
Usability and Preliminary Efficacy of an Adaptive Supportive Care System for Patients With Cancer: Pilot Randomized Controlled Trial
Background: Using an iterative user-centered design process, our team developed a patient-centered adaptive supportive car...
Patterns of Prescription Medication Use Before Diagnosis of Early Age-Onset Colorectal Cancer: Population-Based Descriptive Study
Patterns of Prescription Medication Use Before Diagnosis of Early Age-Onset Colorectal Cancer: Population-Based Descriptive Study
Background: Colorectal cancer (CRC) is estimated to be the fourth most common cancer diagnosis in Canada (except for nonme...
Do Measures of Real-World Physical Behavior Provide Insights Into the Well-Being and Physical Function of Cancer Survivors? Cross-Sectional Analysis
Do Measures of Real-World Physical Behavior Provide Insights Into the Well-Being and Physical Function of Cancer Survivors? Cross-Sectional Analysis
Background: As the number of cancer survivors increases, maintaining health-related quality of life in cancer survivorship...
Assessing the Relationship Between Neighborhood Socioeconomic Disadvantage and Telemedicine Use Among Patients With Breast Cancer and Examining Differential Provisions of Oncology Services Between Telehealth and In-Person Visits: Quantitative Study
Assessing the Relationship Between Neighborhood Socioeconomic Disadvantage and Telemedicine Use Among Patients With Breast Cancer and Examining Differential Provisions of Oncology Services Between Telehealth and In-Person Visits: Quantitative Study
Background: Since the COVID-19 pandemic began, we have seen rapid growth in telemedicine use. However, telehealth care and...
Artificial Intelligence–Based Co-Facilitator (AICF) for Detecting and Monitoring Group Cohesion Outcomes in Web-Based Cancer Support Groups: Single-Arm Trial Study
Artificial Intelligence–Based Co-Facilitator (AICF) for Detecting and Monitoring Group Cohesion Outcomes in Web-Based Cancer Support Groups: Single-Arm Trial Study
Background: Commonly offered as supportive care, therapist-led online support groups (OSGs) are a cost-effective way to pr...
Using a Mobile Messenger Service as a Digital Diary to Capture Patients’ Experiences Along Their Interorganizational Treatment Path in Gynecologic Oncology: Lessons Learned
Using a Mobile Messenger Service as a Digital Diary to Capture Patients’ Experiences Along Their Interorganizational Treatment Path in Gynecologic Oncology: Lessons Learned
A digital diary in the form of a mobile messenger service offers a novel method for data collection in cancer research. Li...
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