Zobrazeno 1 - 10
of 89
pro vyhledávání: '"Faisal AA"'
Autor:
Kadirvelu, B, Bellido Bel, T, Wu, X, Burmester, V, Ananth, S, Cabral C C Branco, B, Girela-Serrano, B, Gledhill, J, Di Simplicio, M, Nicholls, D, Faisal, AA
BACKGROUND: Children and young people's mental health is a growing public health concern, which is further exacerbated by the COVID-19 pandemic. Mobile health apps, particularly those using passive smartphone sensor data, present an opportunity to ad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1032::eabe36ca276853878fa5b9ffc65fd986
http://hdl.handle.net/10044/1/105143
http://hdl.handle.net/10044/1/105143
Autor:
Honeyford, K, Expert, P, Mendelsohn, EE, Post, B, Faisal, AA, Glampson, B, Mayer, EK, Costelloe, CE
Publikováno v:
Frontiers in digital health. 4
Harnessing Real World Data is vital to improve health care in the 21st Century. Data from Electronic Health Records (EHRs) are a rich source of patient centred data, including information on the patient's clinical condition, laboratory results, diagn
Intuitive and efficient physical human-robot collaboration relies on the mutual observability of the human and the robot, i.e. the two entities being able to interpret each other's intentions and actions. This is remedied by a myriad of methods invol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1032::e4cc9f7205b9e333b8133a7e665bb025
http://hdl.handle.net/10044/1/97148
http://hdl.handle.net/10044/1/97148
Explainability, interpretability and how much they affect human trust in AI systems are ultimately problems of human cognition as much as machine learning, yet the effectiveness of AI recommendations and the trust afforded by end-users are typically
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1032::78124c106b31f228132681b086aa80e5
http://hdl.handle.net/10044/1/97147
http://hdl.handle.net/10044/1/97147
Eye movements have long been studied as a window into the attentional mechanisms of the human brain and made accessible as novelty style human-machine interfaces. However, not everything that we gaze upon, is something we want to interact with; this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1032::ce5aac4f73b2a180d4d8d029c952b1f9
http://hdl.handle.net/10044/1/94917
http://hdl.handle.net/10044/1/94917
Autor:
Patel, BV, Haar, S, Handslip, R, Lee, TM-L, Patel, S, Harston, JA, Hosking-Jervis, F, Kelly, D, Sanderson, B, Bogatta, B, Tatham, K, Welters, I, Camporota, L, Gordon, AC, Komorowski, M, Antcliffe, D, Prowle, JR, Puthucheary, Z, Faisal, AA
Background To date the description of mechanically ventilated patients with Coronavirus Disease 2019 (COVID-19) has focussed on admission characteristics with no consideration of the dynamic course of the disease. Here, we present a data-driven analy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1032::494c474e3a5b86749de04045af143dd8
http://hdl.handle.net/10044/1/84436
http://hdl.handle.net/10044/1/84436
We wanted to study the ability of our brains and bodies to be augmented by supernumerary robot limbs, here extra fingers. We developed a mechanically highly functional supernumerary robotic 3rd thumb actuator, the SR3T, and interfaced it with human u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1032::de14cade852983825842d3b8a8f73d48
http://hdl.handle.net/10044/1/80712
http://hdl.handle.net/10044/1/80712
The rapid evolution of the COVID-19 pandemic has sparked a large unmet need for new or additional medical technology and healthcare services to be made available urgently. Healthcare, Academic, Government and Industry organizations and individuals ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92d689640d61b134a93e6f10634e9c81
http://hdl.handle.net/10044/1/78559
http://hdl.handle.net/10044/1/78559
We present a robotic setup for real-world testing and evaluation of human-robot and human-human collaborative learning. Leveraging the sample-efficiency of the Soft Actor-Critic algorithm, we have implemented a robotic platform able to learn a non-tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1032::80aacf896e59e4b2fe3b71ec40cd15e6
http://hdl.handle.net/10044/1/78655
http://hdl.handle.net/10044/1/78655
In this document, we explore in more detail our published work (Komorowski, Celi, Badawi, Gordon, & Faisal, 2018) for the benefit of the AI in Healthcare research community. In the above paper, we developed the AI Clinician system, which demonstrated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1032::8dc7b3ac2086074d46ebb41051118561
http://hdl.handle.net/10044/1/71475
http://hdl.handle.net/10044/1/71475