A5074582024- Digital Mental Health Interventions
- Ethics in Clinical Research
- Artificial Intelligence in Healthcare and Education
- Mental Health Treatment and Access
- Mental Health and Patient Involvement
- COVID-19 and Mental Health
- Ethics and Social Impacts of AI
- Mental Health Research Topics
- Neuroethics, Human Enhancement, Biomedical Innovations
- Patient-Provider Communication in Healthcare
- Prostate Cancer Treatment and Research
- Machine Learning in Healthcare
- Psychosomatic Disorders and Their Treatments
- Health Systems, Economic Evaluations, Quality of Life
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Prostate Cancer Diagnosis and Treatment
- Health Policy Implementation Science
- Interprofessional Education and Collaboration
- Resilience and Mental Health
- AI in Service Interactions
- Sport and Mega-Event Impacts
- European and Russian Geopolitical Military Strategies
- Problem and Project Based Learning
- Retinopathy of Prematurity Studies
- Vascular Anomalies and Treatments
Stanford University
2019-2025
Coombe Women & Infants University Hospital
2022-2023
Macquarie University
2020-2023
University of Otago
2023
Royal Prince Alfred Hospital
2022
Palo Alto University
2019
Trends in contact with a high volume national digital mental health service (DMHS), the MindSpot Clinic, provide unique opportunity to assess effects of COVID-19 pandemic.
Digital mental health services (DMHS) have proven effectiveness and play an important role within the broader system by reducing barriers to evidence-based care. However, improved understanding of factors associated with successful treatment uptake, completion positive clinical outcomes will facilitate efforts maximise outcomes. Previous studies demonstrated that patient age is positively associated, initial symptom severity negatively uptake rates in both DMHS other services. The current...
Background As the availability and performance of artificial intelligence (AI)–based clinical decision support (CDS) systems improve, physicians other care providers poised to be on front lines will increasingly tasked with using these tools in patient incorporating their outputs into decision-making processes. Vignette studies provide a means explore emerging hypotheses regarding how context-specific factors, such as risk, amount information provided about AI, AI result, may impact...
The MindSpot Clinic, funded by the Australian Government, is a national digital mental health service (DMHS) providing services to people experiencing anxiety and depression. We recently reported increased use in early weeks of COVID-19 pandemic (19 March 15 April 2020), small increase symptoms. This follow-up paper examines trends symptoms, over 12 from 19 10 June 2020.Demographics, psychosocial stressors were compared for participants starting an online assessment four time-periods: A...
Diagnosis and assessment of patients with prostate cancer is dependent on accurate interpretation grading histopathology. However, morphology does not necessarily reflect the complex biological changes occurring in disease progression, current biomarkers have demonstrated limited clinical utility patient assessment. This study aimed to develop that accurately define biology by distinguishing specific pathological features enable reliable pathology for Gleason patients. Online gene expression...
Many psychological treatments aim to reduce symptoms of depression and anxiety by modifying maladaptive patterns cognitions, behavior, other actions. The Things You Do Questionnaire (TYDQ) was developed measure the frequency actions that are associated with health in a reliable valid manner. present study examined treatment-related change measured TYDQ. Using an uncontrolled single-group design, 409 participants self-reported depression, anxiety, or both received access 8-week...
Innovative tools leveraging artificial intelligence (AI) and machine learning (ML) are rapidly being developed for medicine, with new applications emerging in prediction, diagnosis, treatment across a range of illnesses, patient populations, clinical procedures. One barrier successful innovation is the scarcity research current literature seeking analyzing views AI or ML researchers physicians to support ethical guidance.
We set out to describe academic machine learning (ML) researchers' ethical considerations regarding the development of ML tools intended for use in clinical care.
AI models may soon be poised to recommend mental health treatments or referrals in primary care, yet little is known regarding their impact on physician decision-making. In this web-based study, care physicians (n = 420) were presented with a clinical scenario describing patient psychiatric symptoms, an tool for referring prescribing, and the recommendation of AI. A sequentially randomized vignette method was used test initial assessments output decision-making patterns. Physicians...
Due to the potential scope and impact of artificial intelligence’s (AI's) adoption in medicine, a comprehensive assessment ethical considerations arising during clinical integration is needed. Existing frameworks principles have aided identification that may arise AI, however, our understanding these remains preliminary extent it not yet robustly informed by empirical research on key stakeholders’ experiences perspectives. Utilizing qualitative descriptive approach, we completed in-depth...
Objective This study explored therapist perspectives on decision-making about uptake and engagement with online assessment treatment for anxiety depression among digital mental health service (DMHS) users.Methods Semi-structured interviews 20 therapists from two Australian DMHSs were conducted; audio-recorded, transcribed verbatim, analysed thematically using Framework Methods.Results Analyses yielded three interrelated themes: 1) Interplay between users, the DMHS broader system; 2)...
Gleason scoring is used within a five-tier risk stratification system to guide therapeutic decisions for patients with prostate cancer. This study aimed compare the predictive performance of routine H&E or biomarker-assisted ISUP (International Society Urological Pathology) grade grouping assessing biochemical recurrence (BCR) and clinical (CR) in retrospective was an assessment 114 men cancer who provided radical prostatectomy samples Australian Prostate Cancer Bioresource between 2006...
Objective Digital mental health services (DMHS) overcome many barriers to help-seeking. Yet, people's use and uptake of treatment with DMHSs varies considerably. This study explored service user perspectives on deciding take up online assessment for anxiety and/or depression within a large national DMHS.
The MindSpot Clinic provides services to Australians with anxiety and depression. Routine data collection means that has been able monitor trends in mental health symptoms service use prior during the COVID-19 pandemic, these have reported two earlier studies. This third study describes user characteristics volumes first 8 months of COVID-19, including a comparison between users from states territories significantly different infection rates.We examined demographics for participants starting...
It is increasingly recognised that the success of artificial intelligence-based clinical decision support (AI/CDS) tools will depend on physician and patient trust, but factors impacting patients' views care reliant AI have been less explored.
Russia’s invasion of Ukraine in February 2022 astounded political commentators across the globe. Seemingly nonsensical from a physical security perspective, announcement resulted economic sanctions against Russia, rapid decline President Vladimir Putin’s reputation international sphere, and dissent amongst Russian citizens. This article contends that while is difficult to justify approach, pursuit ontological convincing meaningful explanation for Ukraine. Unpacking how biographical...
Little is known about the safety of mental healthcare provided remotely by digital health services (DMHS), which do not offer face-to-face contact.To examine circumstances suicide patients registered with a national DMHS.Data from 59 033 consenting DMHS, MindSpot Clinic, between 1 January 2013 and 31 December 2016 were linked Australian National Death Index documents held Coronial Information System (NCIS). Data extracted included demographic information, nature contact, duration last...
Hundreds of scientific articles and thousands media reports have been written on the emerald ash borer (EAB) since its discovery in 2002. This incredible mass information has proved to be overwhelming for forest health professionals who may not time or training base management decisions best most recent findings. At same direction research community at times diverged from that community. led us ask two questions: 1) how well is knowledge generated by researchers being translated managers? 2)...
<sec> <title>BACKGROUND</title> The increasing use of direct-to-consumer AI-enabled mHealth (AI-mHealth) applications presents an opportunity for more effective health management and monitoring expanded capabilities. However, AI’s early developmental stage has prompted ethical concerns related to privacy, informed consent, bias, among others. While some these have been explored in stakeholder research AI-mHealth, the limited literature suggests that broader landscape considerations hold...
The increasing use of direct-to-consumer artificial intelligence (AI)-enabled mobile health (AI-mHealth) apps presents an opportunity for more effective management and monitoring expanded (mHealth) capabilities. However, AI's early developmental stage has prompted concerns related to trust, privacy, informed consent, bias, among others. While some these have been explored in stakeholder research AI-mHealth, the broader landscape considerations that hold ethical significance users remains...
In this study, participants with a self-reported history of depression, diabetes, or no illness underwent simulated informed consent process for hypothetical genetic study related to depression diabetes. Participants completed survey assessing their perceived understanding the research process, perceptions its risks and benefits, satisfaction readiness make enrollment decision. All indicated strong an decision regarding characterized in simulation. reported relatively well being generally...