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Predicting Future Health Events
[/ultimate_heading][vc_column_text css=””]IntualityAI’s health monitoring technology represents a leap into the future, where AI can predict health risks and offer advice on preventative measures in real-time. This technological advance is not only revolutionary but potentially life-saving![/vc_column_text][vc_column_text css=””]When integrated with wearable technology, such as a smartwatch that tracks vital health stats, like heart rate and oxygen levels, IntualityAI has demonstrated its ability to predict health events before they occur. This is particularly beneficial for patients living with conditions like epilepsy, heart conditions, and diabetes, as it provides them with crucial information that could potentially save their lives.[/vc_column_text][/vc_column][vc_column width=”1/4″ offset=”vc_col-lg-offset-0 vc_col-lg-3 vc_col-md-offset-0 vc_col-md-3 vc_col-sm-offset-0 vc_col-xs-offset-3 vc_col-xs-6″][vc_single_image image=”68″ img_size=”200×200″ css=””][/vc_column][/vc_row][vc_section full_width=”stretch_row” css=”.vc_custom_1715287311387{padding-top: 50px !important;padding-bottom: 50px !important;background-image: url(https://iai.ltmg-devsite.com/wp-content/uploads/2024/05/intuality-swoopy-background-1100tall.jpg?id=99) !important;background-position: center !important;background-repeat: no-repeat !important;background-size: cover !important;}”][vc_row][vc_column][vc_custom_heading text=”IntualityAl’s Critical Health Monitoring Alert Results” font_container=”tag:h3|text_align:center|color:%23000000″ use_theme_fonts=”yes” css=”” el_class=”weight600″][/vc_column][/vc_row][vc_row gap=”20″][vc_column width=”1/3″][vc_single_image image=”65″ img_size=”full” alignment=”center” css=””][vc_single_image image=”62″ img_size=”275×275″ alignment=”center” css=””][vc_custom_heading text=”Epileptic Seizure Prediction” font_container=”tag:h4|text_align:left|color:%23000000″ use_theme_fonts=”yes” css=””][vc_column_text css=””]Three independent trials of EEG Epilepsy Seizure Data showed the IntualityAI predicted the onset of seizure 1.4 to 3.9 minutes in advance.
When a patient knows this information ahead of time, it may give them ample time to get into a safe place or position and alert someone. There were no false positives in the blind study conducted by the Neuroscience Research Institute of North Carolina.[/vc_column_text][/vc_column][vc_column width=”1/3″][vc_single_image image=”66″ img_size=”full” alignment=”center” css=””][vc_single_image image=”63″ img_size=”275×275″ alignment=”center” css=””][vc_custom_heading text=”Hypoglycemia (Low Blood Sugar) Prediction” font_container=”tag:h4|text_align:left|color:%23000000″ use_theme_fonts=”yes” css=””][vc_column_text css=””]In five independent trials of blood glucose data series, patients living with diabetes were given 30-minute notifications of the potential onset of hypoglycemic events so they could take appropriate action to avert a crash.
There were no false positives in the blind study conducted by Novant Medical Health Medical Center, North Carolina.[/vc_column_text][/vc_column][vc_column width=”1/3″][vc_single_image image=”67″ img_size=”full” alignment=”center” css=””][vc_single_image image=”64″ img_size=”275×275″ alignment=”center” css=””][vc_custom_heading text=”Heart Arrhythmia Prediction” font_container=”tag:h4|text_align:left|color:%23000000″ use_theme_fonts=”yes” css=””][vc_column_text css=””]Three independent trials measuring EKG data series predicted heart arrhythmia events 70 seconds in advance.
The blind study conducted by HealthWatch, Ltd., Israel, had no
false positives.[/vc_column_text][/vc_column][/vc_row][/vc_section][vc_row full_width=”stretch_row” content_placement=”middle” css=”.vc_custom_1715624366068{background-color: #0046b7 !important;}”][vc_column width=”1/5″][/vc_column][vc_column width=”1/5″][vc_single_image image=”116″ alignment=”center” css=””][/vc_column][vc_column width=”1/5″]