Large Language Models in medicine – researchers show how AI can improve healthcare in the future
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animation_direction=”left” animation_speed=”0.3″ animation_offset=””]Regulatory factors play an increasing role in the transfer of high-tech innovations to the patient and raise a number of highly relevant research questions: How can the increasing complexity of medical devices and the speed of innovation on the one hand and patient safety on the other be optimally reconciled? Which components of the current regulatory framework actually contribute to patient safety in the European and international context? How can approval processes be made more efficient and safer? What are the implications of using artificial intelligence and cloud solutions in medical devices?
As part of the establishment of the EKFZ a
Chair (W2/W3) for Medical Device Regulatory Affairs
is to be filled as soon as possible.
We are looking for an innovative personality who is committed to finding answers to these questions through research and to initiating an active research agenda in this field. We offer a vibrant interdisciplinary environment with physicians, engineers, economists and social scientists. Take the opportunity to build and shape this cutting edge topic at the excellent scientific location of Dresden.
The call is open until 21st October 2020, please find the details here:
https://www.uniklinikum-dresden.de/de/jobs-und-karriere/dokumente-anzeigen-1/w2_w3-regulatrory-affairs_en_2.pdf
[/fusion_text][/fusion_builder_column][fusion_builder_column type=”1_6″ layout=”1_6″ spacing=”” center_content=”no” link=”” target=”_self” min_height=”” hide_on_mobile=”medium-visibility,large-visibility” class=”” id=”” background_image_id=”” hover_type=”none” border_size=”0″ border_color=”” border_style=”solid” border_position=”all” border_radius_top_left=”” border_radius_top_right=”” border_radius_bottom_right=”” border_radius_bottom_left=”” box_shadow=”no” box_shadow_vertical=”” box_shadow_horizontal=”” box_shadow_blur=”0″ box_shadow_spread=”0″ box_shadow_color=”” box_shadow_style=”” padding_top=”” padding_right=”” padding_bottom=”” padding_left=”” margin_top=”” margin_bottom=”” background_type=”single” gradient_start_color=”” gradient_end_color=”” gradient_start_position=”0″ gradient_end_position=”100″ gradient_type=”linear” radial_direction=”center center” linear_angle=”180″ background_color=”” background_image=”” background_position=”left top” background_repeat=”no-repeat” background_blend_mode=”none” animation_type=”” animation_direction=”left” animation_speed=”0.3″ animation_offset=”” filter_type=”regular” filter_hue=”0″ filter_saturation=”100″ filter_brightness=”100″ filter_contrast=”100″ filter_invert=”0″ filter_sepia=”0″ filter_opacity=”100″ filter_blur=”0″ filter_hue_hover=”0″ filter_saturation_hover=”100″ filter_brightness_hover=”100″ filter_contrast_hover=”100″ filter_invert_hover=”0″ filter_sepia_hover=”0″ filter_opacity_hover=”100″ filter_blur_hover=”0″ last=”no”][/fusion_builder_column][/fusion_builder_row][/fusion_builder_container][fusion_global id=”245″]A Busy Autumn for the HybridEcho Team
Symposium on Large Language Models in Medicine