Ganessan Kichenadasse
Biographic Data
| ID | 8980058 |
|---|---|
| NAME | Ganessan Kichenadasse |
| GIVEN NAMES | Ganessan |
| FAMILY NAME | Kichenadasse |
| SIGNATURE | KICHENADASSE G |
| AFFILIATIONS | Medical Oncology Flinders University Adelaide SA Australia |
| ORCID | 0000-0001-9923-5149 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Generative AI’s healthcare professional role creep
Introduction: Generative artificial intelligence (AI) is advancing rapidly; an important consideration is the public's increasing ability to customise foundational AI models to create publicly accessible applications tailored for specific tasks. This study aims to evaluate the accessibility and functionality descriptions of customised GPTs on the OpenAI GPT store that provide health-related information or assistance to patients and healthcare pro…
Is self‐management feasible and acceptable for addressing nutrition and physical activity needs of cancer survivors
BACKGROUND: Self-management is recommended for patients with chronic conditions, but its use with cancer survivors is underexplored. Optimal strategies for achieving lifestyle changes in cancer survivors are not known. OBJECTIVE: We aimed to determine feasibility, acceptability and preliminary efficacy of self-management-based nutrition and physical activity interventions for cancer survivors. DESIGN, SETTING AND PARTICIPANTS: Adult survivors (n …
No prominent works on this page.
Is self‐management feasible and acceptable for addressing nutrition and physical activity needs of cancer survivors
BACKGROUND: Self-management is recommended for patients with chronic conditions, but its use with cancer survivors is underexplored. Optimal strategies for achieving lifestyle changes in cancer survivors are not known. OBJECTIVE: We aimed to determine feasibility, acceptability and preliminary efficacy of self-management-based nutrition and physical activity interventions for cancer survivors. DESIGN, SETTING AND PARTICIPANTS: Adult survivors (n …
Generative AI’s healthcare professional role creep
Introduction: Generative artificial intelligence (AI) is advancing rapidly; an important consideration is the public's increasing ability to customise foundational AI models to create publicly accessible applications tailored for specific tasks. This study aims to evaluate the accessibility and functionality descriptions of customised GPTs on the OpenAI GPT store that provide health-related information or assistance to patients and healthcare pro…
Internal Medicine (2 works) · Medicine (2 works) · AI in Service Interactions (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Business (1 work) · Cancer (1 work) · Cancer survivorship and care (1 work) · Cancer-related cognitive impairment studies (1 work) · Environmental health (1 work) · Ethics and Social Impacts of AI (1 work)