A novel RNN architecture to improve the precision of ship trajectory predictions حسب Martha Dais Ferreira (18704596)

"…This type of monitoring often relies on the use of navigation systems such as the Automatic Identification System (AIS). …"

Decision switching before any AI feedback and after all AI feedback, reported as % difference in diagnostic accuracy of participants (i.e., difference in diagnostic accuracy before... حسب Clare Rainey (11677747)

Trust perception of student radiographers and radiographers at the beginning of the study, before accessing any of the AI feedback, following exposure to the AI and at the end of t... حسب Clare Rainey (11677747)

Impact of AI feedback on <i>all</i> participants’ diagnostic accuracy, when the AI feedback is <i>correct</i> and <i>INcorrect.</i> حسب Clare Rainey (11677747)

Impact of AI feedback on <i>student</i> participants’ diagnostic accuracy, when the AI feedback is <i>correct</i> and <i>INcorrect.</i> حسب Clare Rainey (11677747)

Impact of AI feedback on <i>radiographer</i> participants’ diagnostic accuracy, when the AI feedback is <i>correct</i> and <i>INcorrect.</i> حسب Clare Rainey (11677747)

Students’ and radiographers’ trust perception before, during and after AI feedback. حسب Clare Rainey (11677747)

Patient 11 – Pathological examination: AI correct (83.6% confidence). حسب Clare Rainey (11677747)

Impact of AI feedback on <i>all</i> participants’ diagnostic accuracy. حسب Clare Rainey (11677747)

Impact of AI feedback on <i>radiographer</i> participants’ diagnostic accuracy. حسب Clare Rainey (11677747)

Impact of AI feedback on <i>student</i> participants’ diagnostic accuracy. حسب Clare Rainey (11677747)

Impact of A.I feedback on student and qualified diagnostic radiographers’ diagnostic accuracy. حسب Clare Rainey (11677747)

Patient 16 – Non-pathological examination: AI correct (97.0% confidence). حسب Clare Rainey (11677747)

t-tests comparing students and radiographers’ accuracy in determining diagnosis from radiographic images, following AI decision support, across four conditions: AI correct/incorrec... حسب Clare Rainey (11677747)

Patient 2 – Pathological examination: AI incorrect (99.3% confidence in <i>incorrect</i> diagnosis). حسب Clare Rainey (11677747)

Patient 12 – Non-pathological examination: Ai incorrect (65.24% confidence in <i>incorrect</i> diagnosis). حسب Clare Rainey (11677747)

Interaction plots for probability of in-hospital death by management group and spleen severity in patients (n = 7210) with AIS≤ = 2 in head/neck, face, chest, extremity, and extern... حسب Randeep S. Jawa (20489181)

الموضوعات:

Overview of the study workflow for AI-driven musculoskeletal ultrasound analysis. حسب M. Mendez (6624953)

Overview of the study workflow for AI-driven musculoskeletal ultrasound analysis. حسب M. Mendez (6624953)

Impact of AI feedback on <i>student</i> participants’ diagnostic accuracy in <i>pathological</i> and <i>non-pathological</i> cases. حسب Clare Rainey (11677747)