Meet the startup with a vision to bridge the gap between diagnosis and treatment using AI agents.Latent Health is building what it calls a “clinical reasoning engine,” an AI system that ingests data like doctor’s notes, lab results and imaging reports and can answer complex questions about a patient’s medical history.Its AI agents can also compile evidence based on the insurer’s criteria and submit requests after a human reviews them. To avoid having humans wait on hold for hours at end, Latent’s AI can eve ...

When you hear Northern Nigeria, what comes to mind. A headline, a statistic, a crisis. Every report about Northern Nigeria begins with a number.poverty rate, out of school children, malnutrition. We hear these numbers again and again and it shapes how the world sees the north and how the north sees itself. The numbers are real.I'm not here to dispute the numbers, but numbers describe symptoms. They don't always explain causes. Poverty is a condition. Disconnection is a diagnosis.I'm here to offer you a diff ...

It took my doctors 10 years to find my diagnosis. It took Chad Chipi 10 seconds. [laughter] I wish it was a story about how AI saved me, but it's not.By the time CHGPT existed, I was already lost 10 years to a bed. I spent my night reading medical journals because no doctors would listen to me. And I taught myself medicine from bed because the system has abandoned me.I was a detective in a case where the only evidence was my own body. And I had one hope that it's not all in my head like the doctor said. Onl ...

[applause] Growing up, kids often pointed out the differences in the way my face looked before they ever got to know me. Eventually, those comments became more specific. Why is your face drooping.Why do you look so weird. But these weren't whispers or side comments. They were spoken openly to me long before I even had the words to respond.I was born with seventh cranial nerve palsy, a condition that paralyzes the muscles on one side of my face. For reference, here's what I looked like then. It was around fi ...

Core Argument - The mental health field should move beyond diagnosis and consider the individual's context, history, and societal influences [6][11][18] - Mental health diagnoses are valuable tools but should not overshadow the individual's unique experiences and the broader societal factors contributing to their distress [7][8] - Systemic oppression, societal expectations, and cultural realities significantly impact mental health, particularly for marginalized communities [5][12][13] Societal Impact on Mental Health - Societal structures and policies, such as discrimination and lack of inclusive education, contribute to mental health challenges [3][12][13] - The mental health field needs to understand the intersection of societal structures and individual experiences to provide effective treatment [14] - Stigma associated with mental health labels can perpetuate misunderstanding and reduce individuals to a set of symptoms [10] Holistic Approach to Mental Health - Mental health professionals, educators, families, and society should see the whole person, considering their context, culture, and history [11][18] - A compassionate and effective approach to mental health involves honoring the fullness of an individual's experience and recognizing their strengths [16][17] - Encourages a shift from asking "what is wrong with you" to "what happened to you" to understand the individual's pain and help them reclaim their strengths [19] Resilience and Empowerment - Despite challenges, individuals and communities demonstrate resilience in the face of adversity [14][15] - Empowering individuals by exploring their identity, community, and history can help them overcome mental health challenges [15][16] - Recognizing and honoring the strengths of individuals, such as creativity and meticulousness, can be an effective approach to mental health care [17]

[Music] So, imagine you're talking to a friend and out of nowhere a wave of nausea hits you. You attempt to brush it off thinking it's just a little bit of nausea, but then your heart starts pounding really fast. Feels like your heart's heavy, almost like it's trying to escape your own body.Each breath you take feels harder to pull in. Like the air around you is really thick and it's hard to breathe. Your eyes start to swell with tears and you start debating, are you having a panic attack or is something el ...

Impact of Funding Cuts - NIH funding cuts do not directly impact the company's current business [1] - NIH funding cuts will require others to offset research and innovation progress [2] Healthcare Economics & Rare Diseases - Rare diseases have a trillion dollar economic impact in the United States [3] - A significant portion of the economic impact of rare diseases is due to lack of diagnosis, leading to treatment of symptoms and hospitalizations [3] - Early diagnosis of diseases can save the healthcare system significant dollars [4] - The company delivers better clinical outcomes and saves the healthcare system money [2]

Autism Diagnosis Trends - More children are being diagnosed with autism than ever before [1] - Doctors and scientists attribute much of the rise to changes in diagnosis and awareness over the years [1]

Cognitive Biases and Pattern Recognition - The human brain is wired to identify patterns for survival, but this can lead to finding patterns where they don't exist, a phenomenon called apophenia [1][2][3][4] - Cognitive biases, like availability bias, can cause inaccurate or illogical decision-making, even among skilled professionals such as doctors [5][6][7] - Emotions can impair the ability to understand probability objectively, leading to misinterpretations of data and potentially harmful consequences [9][10][11][12] Artificial Intelligence in Healthcare - AI is a fast and accurate pattern detector capable of processing vast amounts of data, but it is trained on human data and can therefore reflect human biases [7][8][13] - AI can surface potential diagnoses that human doctors may not consider, highlighting its potential as a diagnostic tool [15][16] - A partnership between AI and human intelligence is crucial for accurate diagnoses and better decision-making in high-stakes situations [17][18] Numeracy and Probability - Numeracy, the ability to understand and work with numbers, and probability are essential for objective decision-making [8][9] - Misunderstanding probability can lead to severe consequences, as illustrated by the Sally Clark case where incorrect statistical analysis resulted in a wrongful conviction [10][11][12]

Healthcare Challenges & Opportunities - AI in healthcare aims to augment human intelligence, not replace it, utilizing technologies like machine learning and natural language processing [4][5] - The healthcare industry faces challenges including information overload, clinician burnout, and wasteful spending, with 20% of costs considered wasteful and significant expenses related to billing and administration [8][10][11] - AI can improve diagnosis using image recognition, reduce documentation burden through automated note-taking, and enhance hospital flow by triaging patients and allocating resources [12][13][15] AI Adoption & Concerns - AI adoption in healthcare follows the Gartner hype cycle, with image recognition already productive but disease treatment and behavioral health still facing inflated expectations and disillusionment [6][7] - There is existing bias against AI-generated medical advice, with people finding it less reliable and empathetic compared to advice from human doctors [16][17] - Legal and ethical questions arise regarding data ownership, liability for incorrect AI advice, and potential loss of trust in manual processes due to AI involvement [18][19] - Bias can be built into AI systems through problem selection, data collection methods, and inherent assumptions, potentially leading to skewed outcomes [21] Future Vision - The future vision involves AI-powered wearable devices that can detect health issues, alert emergency services, and transmit vital information to hospitals, improving patient care and outcomes [22][23][24][25]