| The automation of bias in medical Artificial Intelligence (AI): Decoding the past to create a better future I Straw Artificial intelligence in medicine 110, 101965, 2020 | 42 | 2020 |
| Artificial Intelligence in mental health and the biases of language based models I Straw, C Callison-Burch PloS one 15 (12), e0240376, 2020 | 39 | 2020 |
| Investigating for bias in healthcare algorithms: a sex-stratified analysis of supervised machine learning models in liver disease prediction I Straw, H Wu BMJ health & care informatics 29 (1), 2022 | 17 | 2022 |
| Ethical implications of emotion mining in medicine I Straw Health Policy and Technology 10 (1), 191-195, 2021 | 7 | 2021 |
| Safeguarding patients from technology-facilitated abuse in clinical settings: A narrative review I Straw, L Tanczer PLOS Digital Health 2 (1), e0000089, 2023 | 5 | 2023 |
| Representational ethical model calibration R Carruthers, I Straw, JK Ruffle, D Herron, A Nelson, D Bzdok, ... npj Digital Medicine 5 (1), 170, 2022 | 4 | 2022 |
| A Systematic Literature Review of the Use of Computational Text Analysis Methods in Intimate Partner Violence Research L Neubauer, I Straw, E Mariconti, LM Tanczer Journal of Family Violence, 1-20, 2023 | 2 | 2023 |
| Knife crime in London, UK: a youth perspective I Straw, M Thornton, F Hassan, H Fiberesima, N Kokkinos, J Dobbin The Lancet 392, S85, 2018 | 2 | 2018 |
| When brain devices go wrong: a patient with a malfunctioning deep brain stimulator (DBS) presents to the emergency department I Straw, C Ashworth, N Radford BMJ Case Reports CP 15 (12), e252305, 2022 | 1 | 2022 |
| 325 Digital technologies and emerging harms: identifying the risks of technology-facilitated abuse on young people in clinical settings I Straw, L Tanczer Archives of Disease in Childhood 108 (Suppl 2), A54-A54, 2023 | | 2023 |
| Who Let the Smart Toaster Hack the House? An Investigation into the Security Vulnerabilities of Consumer IoT Devices Y Li, AM Mandalari, I Straw arXiv preprint arXiv:2306.09017, 2023 | | 2023 |
| 21st century medicine and emerging biotechnological syndromes: a cross-disciplinary systematic review of novel patient presentations in the age of technology I Straw, G Rees, P Nachev | | 2023 |
| Sex-Related Performance Disparities in Cardiac Machine Learning Algorithms: A Quantitative Evaluation of Fairness I Straw, G Rees, N P. Journal of Internet Medical Research, 2023 | | 2023 |
| I Am yet to Meet a Young Person That Has Not Experienced Some Form of Abuse via Tech I Straw Bentham Gaze, 2022 | | 2022 |
| AI Will Soon Be Everywhere in the NHS. It’s a Risk for Women and Ethnic Minorities, Experts Say IS T Bawden iNews: The Independent, 2022 | | 2022 |
| The Doctor-AI Relationship: Medicine in a Digital World I Straw Adventure Medic, 2022 | | 2022 |
| Adolescent mental illness and the widening gap between rich and poor I Straw, D Hargreaves, R Shah Archives of Disease in Childhood 104 (Suppl 2), A243-A244, 2019 | | 2019 |
| Sexual health of female asylum-seeking teenagers: identifying knowledge gaps, tackling perceived barriers, and suggestions for intervention I Straw, F Hassan, J Dobbin, H Fiberesima, M Thornton The Lancet 392, S84, 2018 | | 2018 |
| Emerging Digital Technologies in Patient Care: Dealing with connected, intelligent medical device vulnerabilities and failures in the healthcare sector I Brass, I Straw, A Mkwashi, I Charles, AS Mesquita, C Steer | | |
| Developing a student-led Medical School welfare website. I Straw, C Poulter, N Keating, J Ellison | | |
Chris Callison-BurchAssociate Professor, University of Pennsylvania在 upenn.edu 的电子邮件经过验证
