{"id":9917,"date":"2025-02-24T16:33:01","date_gmt":"2025-02-24T16:33:01","guid":{"rendered":"https:\/\/blogs.lshtm.ac.uk\/iceh-new\/?page_id=9917"},"modified":"2025-03-11T15:14:43","modified_gmt":"2025-03-11T15:14:43","slug":"artificial-intelligence-research-projects","status":"publish","type":"page","link":"https:\/\/blogs.lshtm.ac.uk\/iceh-new\/artificial-intelligence-research-projects\/","title":{"rendered":"Artificial Intelligence Research Projects"},"content":{"rendered":"

[et_pb_section fb_built=”1″ custom_padding_last_edited=”on|tablet” disabled_on=”on|off|off” admin_label=”Packages” _builder_version=”4.18.0″ width=”85%” module_alignment=”center” min_height=”1554px” custom_margin=”||0px||false|false” custom_padding=”70px|4px|55px||false|false” custom_padding_tablet=”0px||0px|” custom_padding_phone=”” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″][et_pb_row admin_label=”Package” _builder_version=”4.18.0″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” width=”100%” max_width=”1300px” module_alignment=”center” height=”305px” custom_margin=”-3px|auto|-1px|auto|false|false” custom_padding=”0px||0px||false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.18.0″ _module_preset=”default” text_font=”Oswald||||” text_text_color=”#1a1a1a” text_font_size=”40px” header_font_size=”40px” background_size=”initial” background_position=”top_left” background_repeat=”repeat” module_alignment=”center” locked=”off” global_colors_info=”{}”]<\/p>\n

Artificial Intelligence Research Projects<\/h1>\n

[\/et_pb_text][et_pb_divider color=”#003389″ divider_position=”center” divider_weight=”3px” disabled_on=”off|off|off” _builder_version=”4.18.0″ max_width=”150px” module_alignment=”center” height=”false” custom_margin=”30px|||” animation_style=”slide” animation_direction=”top” animation_delay=”100ms” animation_intensity_slide=”10%” locked=”off” global_colors_info=”{}”][\/et_pb_divider][et_pb_text _builder_version=”4.18.0″ _module_preset=”default” text_font=”Roboto||||” text_text_color=”#323232″ text_font_size=”16px” background_size=”initial” background_position=”top_left” background_repeat=”repeat” min_height=”193px” custom_margin=”-13px||-39px|||” custom_padding=”||3px|||” locked=”off” global_colors_info=”{}”]<\/p>\n

Artificial intelligence (AI) holds transformative potential for health, particularly in eye care where it has demonstrated significant promise.<\/p>\n

The diagnosis and screening of eye conditions frequently relies on image-based analysis, and recent studies suggest that AI can match or even surpass humans at these tasks. With many places around the world lacking trained specialists, AI could offer faster, cheaper and more efficient referrals than current systems, freeing up healthcare workers for other duties and allowing more people to receive treatment.<\/p>\n

At the International Centre for Eye Health we are at the forefront of researching AI for eye care in low-income settings, and several current projects are focused on assessing its use for improving sight and people\u2019s lives worldwide.\u00a0<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ admin_label=”Package” _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” width=”100%” max_width=”1300px” module_alignment=”center” height=”393px” custom_margin=”30px|auto|30px|auto|true|false” custom_padding=”0px||0px||false|false” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_image src=”https:\/\/blogs.lshtm.ac.uk\/iceh-new\/files\/2025\/02\/IMG_1522.jpg” alt=”In Tanzania, a doctor uses the controls of a retinal camera” title_text=”IMG_1522″ align_tablet=”center” align_phone=”” align_last_edited=”on|desktop” admin_label=”Package Image” _builder_version=”4.18.0″ animation_direction=”right” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text admin_label=”Package Title” _builder_version=”4.18.0″ text_font=”Oswald||||” text_text_color=”#1a1a1a” text_font_size=”24px” background_size=”initial” background_position=”top_left” background_repeat=”repeat” animation_direction=”left” global_colors_info=”{}”]<\/p>\n

AI for Diabetic Retinopathy<\/h2>\n

[\/et_pb_text][et_pb_text admin_label=”Description” _builder_version=”4.18.0″ text_font=”Roboto||||” text_text_color=”#323232″ text_font_size=”16px” text_line_height=”1.8em” background_size=”initial” background_position=”top_left” background_repeat=”repeat” min_height=”193px” custom_margin=”||-21px|||” animation_direction=”left” global_colors_info=”{}”]<\/p>\n

In Tanzania, we are running a clinical trial to assess whether using artificial intelligence (AI) in a real-world programme can improve DR screening outcomes for patients and help prevent people losing vision from DR.<\/p>\n

 <\/p>\n

[\/et_pb_text][et_pb_button button_url=”https:\/\/iceh.lshtm.ac.uk\/artificial-intelligence-for-dr-detection-in-lmics\/” url_new_window=”on” button_text=”Read More” _builder_version=”4.18.0″ custom_button=”on” button_text_color=”#1a1a1a” button_border_color=”#1a1a1a” button_border_radius=”0px” button_letter_spacing=”4px” button_font=”Oswald|on||on|” button_icon=”$||divi||400″ button_icon_color=”#1a1a1a” custom_margin=”-90px||-27px|||” custom_padding=”0px|||||” animation_direction=”left” button_text_color_hover=”#1a1a1a” button_border_color_hover=”#1a1a1a” button_border_radius_hover=”0px” button_letter_spacing_hover=”4px” button_bg_color_hover=”rgba(0,0,0,0)” global_colors_info=”{}” button_text_size__hover_enabled=”off” button_one_text_size__hover_enabled=”off” button_two_text_size__hover_enabled=”off” button_text_color__hover_enabled=”on” button_text_color__hover=”#1a1a1a” button_one_text_color__hover_enabled=”off” button_two_text_color__hover_enabled=”off” button_border_width__hover_enabled=”off” button_one_border_width__hover_enabled=”off” button_two_border_width__hover_enabled=”off” button_border_color__hover_enabled=”on” button_border_color__hover=”#1a1a1a” button_one_border_color__hover_enabled=”off” button_two_border_color__hover_enabled=”off” button_border_radius__hover_enabled=”on” button_border_radius__hover=”0px” button_one_border_radius__hover_enabled=”off” button_two_border_radius__hover_enabled=”off” button_letter_spacing__hover_enabled=”on” button_letter_spacing__hover=”4px” button_one_letter_spacing__hover_enabled=”off” button_two_letter_spacing__hover_enabled=”off” button_bg_color__hover_enabled=”on” button_bg_color__hover=”rgba(0,0,0,0)” button_one_bg_color__hover_enabled=”off” button_two_bg_color__hover_enabled=”off”][\/et_pb_button][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ admin_label=”Package” _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” width=”100%” max_width=”1300px” module_alignment=”center” height=”393px” custom_margin=”51px|auto|-1px|auto|false|false” custom_padding=”0px||0px||false|false” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_image src=”https:\/\/blogs.lshtm.ac.uk\/iceh-new\/files\/2025\/02\/36026134734_bb1b7a3500_k.jpg” alt=” A computer screen with several corneal infections on it ” title_text=”36026134734_bb1b7a3500_k” align_tablet=”center” align_phone=”” align_last_edited=”on|desktop” admin_label=”Package Image” _builder_version=”4.18.0″ animation_direction=”right” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text admin_label=”Package Title” _builder_version=”4.18.0″ text_font=”Oswald||||” text_text_color=”#1a1a1a” text_font_size=”24px” background_size=”initial” background_position=”top_left” background_repeat=”repeat” animation_direction=”left” global_colors_info=”{}”]<\/p>\n

AI for Corneal Infections<\/h2>\n

[\/et_pb_text][et_pb_text admin_label=”Description” _builder_version=”4.18.0″ text_font=”Roboto||||” text_text_color=”#323232″ text_font_size=”16px” text_line_height=”1.8em” background_size=”initial” background_position=”top_left” background_repeat=”repeat” min_height=”193px” custom_margin=”||-21px|||” animation_direction=”left” global_colors_info=”{}”]<\/p>\n

A new project by ICEH will develop and test a smartphone-based artificial intelligence (AI) tool for diagnosing corneal infections in Nepal.<\/p>\n

 <\/p>\n

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AI for Retinopathy of Prematurity<\/h2>\n

[\/et_pb_text][et_pb_text admin_label=”Description” _builder_version=”4.18.0″ text_font=”Roboto||||” text_text_color=”#323232″ text_font_size=”16px” text_line_height=”1.8em” background_size=”initial” background_position=”top_left” background_repeat=”repeat” min_height=”193px” custom_margin=”-12px||-4px|||” custom_padding=”||0px|||” animation_direction=”left” global_colors_info=”{}”]<\/p>\n

In Nepal, ICEH will run a study comparing the current (expensive) standard equipment against cheaper, smartphone-based cameras, while comparing human assessment of the images from both devices against an AI<\/p>\n

 <\/p>\n

[\/et_pb_text][et_pb_button button_url=”https:\/\/iceh.lshtm.ac.uk\/rop-research\/” button_text=”Read More” _builder_version=”4.18.0″ custom_button=”on” button_text_color=”#1a1a1a” button_border_color=”#1a1a1a” button_border_radius=”0px” button_letter_spacing=”4px” button_font=”Oswald|on||on|” button_icon=”$||divi||400″ button_icon_color=”#1a1a1a” custom_margin=”-90px||-27px|||” custom_padding=”5px||||false|false” animation_direction=”left” button_text_color_hover=”#1a1a1a” button_border_color_hover=”#1a1a1a” button_border_radius_hover=”0px” button_letter_spacing_hover=”4px” button_bg_color_hover=”rgba(0,0,0,0)” locked=”off” global_colors_info=”{}” button_text_size__hover_enabled=”off” button_one_text_size__hover_enabled=”off” button_two_text_size__hover_enabled=”off” button_text_color__hover_enabled=”on” button_text_color__hover=”#1a1a1a” button_one_text_color__hover_enabled=”off” button_two_text_color__hover_enabled=”off” button_border_width__hover_enabled=”off” button_one_border_width__hover_enabled=”off” button_two_border_width__hover_enabled=”off” button_border_color__hover_enabled=”on” button_border_color__hover=”#1a1a1a” button_one_border_color__hover_enabled=”off” button_two_border_color__hover_enabled=”off” button_border_radius__hover_enabled=”on” button_border_radius__hover=”0px” button_one_border_radius__hover_enabled=”off” button_two_border_radius__hover_enabled=”off” button_letter_spacing__hover_enabled=”on” button_letter_spacing__hover=”4px” button_one_letter_spacing__hover_enabled=”off” button_two_letter_spacing__hover_enabled=”off” button_bg_color__hover_enabled=”on” button_bg_color__hover=”rgba(0,0,0,0)” button_one_bg_color__hover_enabled=”off” button_two_bg_color__hover_enabled=”off”][\/et_pb_button][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ admin_label=”Package” _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” width=”100%” max_width=”1300px” module_alignment=”center” height=”393px” custom_margin=”45px|auto|-1px|auto|false|false” custom_padding=”0px||0px||false|false” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_image src=”https:\/\/blogs.lshtm.ac.uk\/iceh-new\/files\/2025\/02\/IMG_1605-scaled.jpg” alt=”In Tanzania, a doctor images a patient’s retina using a smartphone-based device ” title_text=”IMG_1605″ align_tablet=”center” align_phone=”” align_last_edited=”on|desktop” admin_label=”Package Image” _builder_version=”4.18.0″ animation_direction=”right” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text admin_label=”Package Title” _builder_version=”4.18.0″ text_font=”Oswald||||” text_text_color=”#1a1a1a” text_font_size=”24px” background_size=”initial” background_position=”top_left” background_repeat=”repeat” animation_direction=”left” global_colors_info=”{}”]<\/p>\n

African Centre for AI Excellence<\/p>\n

[\/et_pb_text][et_pb_text admin_label=”Description” _builder_version=”4.18.0″ text_font=”Roboto||||” text_text_color=”#323232″ text_font_size=”16px” text_line_height=”1.8em” background_size=”initial” background_position=”top_left” background_repeat=”repeat” min_height=”193px” custom_margin=”-12px||-4px|||” custom_padding=”||0px|||” animation_direction=”left” global_colors_info=”{}”]<\/p>\n

Currently there are no African institutions or African researchers leading ophthalmic AI development and research programmes. Our aim is to change this by establishing Africa\u2019s first Centre of Excellence for Ophthalmic AI research.<\/p>\n

 <\/p>\n

[\/et_pb_text][et_pb_button button_url=”https:\/\/iceh.lshtm.ac.uk\/african-ai-excellence-centre\/” button_text=”Read More” _builder_version=”4.18.0″ custom_button=”on” button_text_color=”#1a1a1a” button_border_color=”#1a1a1a” button_border_radius=”0px” button_letter_spacing=”4px” button_font=”Oswald|on||on|” button_icon=”$||divi||400″ button_icon_color=”#1a1a1a” custom_margin=”-60px||-27px||false|false” custom_padding=”5px||||false|false” animation_direction=”left” hover_enabled=”0″ button_text_color_hover=”#1a1a1a” button_border_color_hover=”#1a1a1a” button_border_radius_hover=”0px” button_letter_spacing_hover=”4px” button_bg_color_hover=”rgba(0,0,0,0)” locked=”off” global_colors_info=”{}” button_text_size__hover_enabled=”off” button_one_text_size__hover_enabled=”off” button_two_text_size__hover_enabled=”off” button_text_color__hover_enabled=”on” button_text_color__hover=”#1a1a1a” button_one_text_color__hover_enabled=”off” button_two_text_color__hover_enabled=”off” button_border_width__hover_enabled=”off” button_one_border_width__hover_enabled=”off” button_two_border_width__hover_enabled=”off” button_border_color__hover_enabled=”on” button_border_color__hover=”#1a1a1a” button_one_border_color__hover_enabled=”off” button_two_border_color__hover_enabled=”off” button_border_radius__hover_enabled=”on” button_border_radius__hover=”0px” button_one_border_radius__hover_enabled=”off” button_two_border_radius__hover_enabled=”off” button_letter_spacing__hover_enabled=”on” button_letter_spacing__hover=”4px” button_one_letter_spacing__hover_enabled=”off” button_two_letter_spacing__hover_enabled=”off” button_bg_color__hover_enabled=”on” button_bg_color__hover=”rgba(0,0,0,0)” button_one_bg_color__hover_enabled=”off” button_two_bg_color__hover_enabled=”off” sticky_enabled=”0″][\/et_pb_button][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ disabled_on=”off|on|on” _builder_version=”4.18.0″ _module_preset=”default” locked=”off” global_colors_info=”{}”][et_pb_row _builder_version=”4.18.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.18.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_text disabled_on=”off|on|on” _builder_version=”4.18.0″ _module_preset=”default” text_font=”Oswald||||” text_text_color=”#1a1a1a” text_font_size=”40px” header_font_size=”40px” background_size=”initial” background_position=”top_left” background_repeat=”repeat” module_alignment=”center” custom_margin=”0px||||false|false” locked=”off” global_colors_info=”{}”]<\/p>\n

Artificial Intelligence Research Projects<\/h1>\n

[\/et_pb_text][et_pb_divider color=”#003389″ divider_position=”center” divider_weight=”3px” disabled_on=”off|off|off” _builder_version=”4.18.0″ max_width=”150px” module_alignment=”center” height=”false” custom_margin=”30px|||” animation_style=”slide” animation_direction=”top” animation_delay=”100ms” animation_intensity_slide=”10%” locked=”off” global_colors_info=”{}”][\/et_pb_divider][et_pb_text _builder_version=”4.18.0″ _module_preset=”default” text_font=”Roboto||||” text_text_color=”#323232″ text_font_size=”16px” background_size=”initial” background_position=”top_left” background_repeat=”repeat” min_height=”193px” custom_margin=”0px||0px||false|false” custom_padding=”||3px|||” hover_enabled=”0″ locked=”off” global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

Artificial intelligence (AI) holds transformative potential for health, particularly in eye care where it has demonstrated significant promise.<\/p>\n

The diagnosis and screening of eye conditions frequently relies on image-based analysis, and recent studies suggest that AI can match or even surpass humans at these tasks. With many places around the world lacking trained specialists, AI could offer faster, cheaper and more efficient referrals than current systems, freeing up healthcare workers for other duties and allowing more people to receive treatment.<\/p>\n

At the International Centre for Eye Health we are at the forefront of researching AI for eye care in low-income settings, and several current projects are focused on assessing its use for improving sight and people\u2019s lives worldwide.<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.18.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.18.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_text admin_label=”Package Title” _builder_version=”4.18.0″ text_font=”Oswald||||” text_text_color=”#1a1a1a” text_font_size=”24px” background_size=”initial” background_position=”top_left” background_repeat=”repeat” animation_direction=”left” locked=”off” global_colors_info=”{}”]<\/p>\n

AI for Diabetic Retinopathy\u00a0<\/h2>\n

[\/et_pb_text][et_pb_text admin_label=”Description” _builder_version=”4.18.0″ text_font=”Roboto||||” text_text_color=”#323232″ text_font_size=”16px” text_line_height=”1.8em” background_size=”initial” background_position=”top_left” background_repeat=”repeat” min_height=”193px” custom_margin=”||-21px|||” animation_direction=”left” locked=”off” global_colors_info=”{}”]<\/p>\n

In Tanzania, we are running a clinical trial to assess whether using artificial intelligence (AI) in a real-world programme can improve DR screening outcomes for patients and help prevent people losing vision from DR.<\/p>\n

 <\/p>\n

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AI for Corneal Infections<\/h2>\n

[\/et_pb_text][et_pb_text admin_label=”Description” _builder_version=”4.18.0″ text_font=”Roboto||||” text_text_color=”#323232″ text_font_size=”16px” text_line_height=”1.8em” background_size=”initial” background_position=”top_left” background_repeat=”repeat” min_height=”193px” custom_margin=”||-21px|||” animation_direction=”left” hover_enabled=”0″ locked=”off” global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

A new project by ICEH will develop and test a smartphone-based artificial intelligence (AI) tool for diagnosing corneal infections in Nepal.<\/p>\n

 <\/p>\n

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AI for Retinopathy of Prematurity\u00a0<\/h2>\n

[\/et_pb_text][et_pb_text admin_label=”Description” _builder_version=”4.18.0″ text_font=”Roboto||||” text_text_color=”#323232″ text_font_size=”16px” text_line_height=”1.8em” background_size=”initial” background_position=”top_left” background_repeat=”repeat” min_height=”193px” custom_margin=”||-21px|||” animation_direction=”left” hover_enabled=”0″ locked=”off” global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

In Nepal, ICEH will run a study comparing the current (expensive) standard equipment against cheaper, smartphone-based cameras, while comparing human assessment of the images from both devices against an AI<\/p>\n

 <\/p>\n

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African Centre for AI Excellence\u00a0<\/h2>\n

[\/et_pb_text][et_pb_text admin_label=”Description” _builder_version=”4.18.0″ text_font=”Roboto||||” text_text_color=”#323232″ text_font_size=”16px” text_line_height=”1.8em” background_size=”initial” background_position=”top_left” background_repeat=”repeat” min_height=”193px” custom_margin=”||-21px|||” animation_direction=”left” hover_enabled=”0″ locked=”off” global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

Currently there are no African institutions or African researchers leading ophthalmic AI development and research programmes. Our aim is to change this by establishing Africa\u2019s first Centre of Excellence for Ophthalmic AI research.<\/p>\n

 <\/p>\n

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Artificial Intelligence Research ProjectsArtificial intelligence (AI) holds transformative potential for health, particularly in eye care where it has demonstrated significant promise. The diagnosis and screening of eye conditions frequently relies on image-based analysis, and recent studies suggest that AI can match or even surpass humans at these tasks. 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