Nehmat Houssami
Dados Biográficos
| ID | 5557916 |
|---|---|
| NOME | Nehmat Houssami |
| PRENOMES | Nehmat |
| SOBRENOME | Houssami |
| ASSINATURA | HOUSSAMI N |
| AFILIAÇÕES | The University of Sydney |
| ORCID | 0000-0002-3641-952X |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 8 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 8 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2002 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 0 |
Artificial intelligence in population breast cancer screening
OBJECTIVES: To investigate the cost-effectiveness of integrating artificial intelligence (AI) into breast cancer screening in Australia. METHODS: Standard screening practice (independent assessment of mammograms by two radiologists, with a third resolving discordance) was compared with three AI-human screen reading strategies: 1)Integrated (one radiologist and AI independently assess mammograms, with a second radiologist for discordance); 2)Triag…
Reducing Stigma in Lung Cancer Screening
INTRODUCTION: Organised lung cancer screening (LCS) programs are being developed worldwide in response to recent landmark trial evidence. Targeting high-risk individuals primarily based on smoking history, LCS faces challenges from smoking-related stigma, which can cause psychological harm and hinder participation. With limited interventions addressing this issue, this study aimed to co-design a communication-based strategy to reduce stigma in th…
Psychosocial Impact of Breast Density Notification Through Breast Cancer Screening
INTRODUCTION: Breast density notification is now implemented in the United States and parts of Australia and Canada despite limited understanding of how it impacts women and their psychosocial health. This study explored the psychosocial impact of receiving a notification of dense breasts through a population-based breast cancer screening programme. METHODS: We interviewed 19 Australian women who indicated being anxious in a survey. This survey w…
Practical, epistemic and normative implications of algorithmic bias in healthcare artificial intelligence
BACKGROUND: There is a growing concern about artificial intelligence (AI) applications in healthcare that can disadvantage already under-represented and marginalised groups (eg, based on gender or race). OBJECTIVES: Our objectives are to canvas the range of strategies stakeholders endorse in attempting to mitigate algorithmic bias, and to consider the ethical question of responsibility for algorithmic bias. METHODOLOGY: The study involves in-dept…
Australian Women’s Responses to Breast Density Information
These findings have important implications for health systems with population-based breast screening programs that are currently considering widespread BD notification in terms of the impact on women, health services and primary care
Australian General Practitioners’ Current Knowledge, Understanding, and Feelings Regarding Breast Density Information and Notification
There is strong support for notifying patients of breast density, and interest in further education and training among the surveyed GPs. As GPs play a central role in cancer prevention and control, their involvement in discussions related to breast density notification, evaluation and appraisal of evidence, development of communication strategies, and participation in ongoing research on the topic will be indispensable
Consumer information materials for diagnostic breast tests
Objective To explore women's views on diagnostic breast test information and elicit their preferences for this information. Design In‐depth, face‐to‐face interview. Setting and Participants Thirty‐seven women who had previously participated in a population‐based telephone survey. Main outcome measure Qualitative thematic analysis. Results Analysis of interview transcripts revealed information about: (1) the wide range of information participants …
Medical tests
Objective To determine women's preferences for and reported experience with medical test decision‐making. Design Computer‐assisted telephone survey. Setting and participants Six hundred and fifty‐two women resident in households randomly selected from the New South Wales electronic white pages. Main outcome measures Reported and preferred test and treatment (for comparison) decision‐making, satisfaction with and anxiety about information on false…
Sem obras proeminentes nesta página.
Medical tests
Objective To determine women's preferences for and reported experience with medical test decision‐making. Design Computer‐assisted telephone survey. Setting and participants Six hundred and fifty‐two women resident in households randomly selected from the New South Wales electronic white pages. Main outcome measures Reported and preferred test and treatment (for comparison) decision‐making, satisfaction with and anxiety about information on false…
Consumer information materials for diagnostic breast tests
Objective To explore women's views on diagnostic breast test information and elicit their preferences for this information. Design In‐depth, face‐to‐face interview. Setting and Participants Thirty‐seven women who had previously participated in a population‐based telephone survey. Main outcome measure Qualitative thematic analysis. Results Analysis of interview transcripts revealed information about: (1) the wide range of information participants …
Australian General Practitioners’ Current Knowledge, Understanding, and Feelings Regarding Breast Density Information and Notification
There is strong support for notifying patients of breast density, and interest in further education and training among the surveyed GPs. As GPs play a central role in cancer prevention and control, their involvement in discussions related to breast density notification, evaluation and appraisal of evidence, development of communication strategies, and participation in ongoing research on the topic will be indispensable
Australian Women’s Responses to Breast Density Information
These findings have important implications for health systems with population-based breast screening programs that are currently considering widespread BD notification in terms of the impact on women, health services and primary care
Practical, epistemic and normative implications of algorithmic bias in healthcare artificial intelligence
BACKGROUND: There is a growing concern about artificial intelligence (AI) applications in healthcare that can disadvantage already under-represented and marginalised groups (eg, based on gender or race). OBJECTIVES: Our objectives are to canvas the range of strategies stakeholders endorse in attempting to mitigate algorithmic bias, and to consider the ethical question of responsibility for algorithmic bias. METHODOLOGY: The study involves in-dept…
Artificial intelligence in population breast cancer screening
OBJECTIVES: To investigate the cost-effectiveness of integrating artificial intelligence (AI) into breast cancer screening in Australia. METHODS: Standard screening practice (independent assessment of mammograms by two radiologists, with a third resolving discordance) was compared with three AI-human screen reading strategies: 1)Integrated (one radiologist and AI independently assess mammograms, with a second radiologist for discordance); 2)Triag…
Reducing Stigma in Lung Cancer Screening
INTRODUCTION: Organised lung cancer screening (LCS) programs are being developed worldwide in response to recent landmark trial evidence. Targeting high-risk individuals primarily based on smoking history, LCS faces challenges from smoking-related stigma, which can cause psychological harm and hinder participation. With limited interventions addressing this issue, this study aimed to co-design a communication-based strategy to reduce stigma in th…
Psychosocial Impact of Breast Density Notification Through Breast Cancer Screening
INTRODUCTION: Breast density notification is now implemented in the United States and parts of Australia and Canada despite limited understanding of how it impacts women and their psychosocial health. This study explored the psychosocial impact of receiving a notification of dense breasts through a population-based breast cancer screening programme. METHODS: We interviewed 19 Australian women who indicated being anxious in a survey. This survey w…
Global Cancer Incidence and Screening (5 obras) · Psychology (5 obras) · Breast cancer (4 obras) · Medicine (4 obras) · Social Psychology (4 obras) · AI in cancer detection (3 obras) · Digital Radiography and Breast Imaging (3 obras) · Family medicine (3 obras) · Mammography (3 obras) · Population (3 obras)