Rahsaan Hall’s Post

We’re excited to announce our proposed SXSW 2024 panel on a topic we’re deeply passionate about — ‘Closing the Health Gender Gap Through AI’ — featuring our CEO/Founder Alicia Jackson, Robin Berzin MD, and Christina Jenkins, MD We need your help, so please consider voting below to bring this important conversation to #SXSW! Voting is open now and ends August 20th. So don't wait! Panel Description: Women were left out of clinical studies until 1993. To this day, they’re still diagnosed later than men for over 700 conditions. But fixing the problem means more than just adding data. It means cutting, interpreting, and personalizing information so it speaks to individuals and not just the lowest common denominator. #AI and #predictivetech are true game-changers here—but only if we’re smart about the ways we build these systems. This panel will explore the promises and risks AI carries as a path to closing the #healthgendergap to extend lifespans and make care both more human and humane. Panel Speakers Dr. Robin Berzin, MD, CEO/Founder, Parsley Health Dr. Alicia Jackson, CEO/Founder, Evernow Dr. Christina Jenkins, MD, Venture Partner, Phoenix Venture Partners LLC

Will advanced AI technologies help or hinder the movement toward health equity? It's a thorny question and one I'm excited to discuss with healthcare leaders at the 2024 Weitzman Institute Virtual Symposium on May 15. Join Irene Dankwa-Mullan MD MPH of Marti Health, Binoy Bhansali of Diverge Health, Sahee Abdelmomin of Tulsa Innovation Labs, André B. of True Search, and I by registering here: https://lnkd.in/g6yaQy9P This year, the symposium will focus on how and why representation matters in healthcare, touching on its role in innovation and technology. On one hand, we can't let AI inflict any more pain and suffering. Biased data and algorithms have worsened inequities and harmed underserved communities. On the other hand, we can't ignore the technology's transformative potential. AI opens the door to powerful new methods of personalized engagement — tools the industry desperately needs to better connect with underserved communities. So where does that leave us? Here's my take. Healthcare should use AI to support underserved communities, but solutions must be intentionally designed from the outset to ensure they break down inequities. Too often, destructive AI is born from organizations that ignore the experiences of diverse people. Teams that lack broad representation are vulnerable to intentional and unintentional biases, which creep into the code and hurt communities. Other routes exist. At SameSky Health, we built AI on a foundation of diversity, training our solution on a data set of conversations with low-income, multicultural communities collected over a decade. Our data set isn't the only way to build equitable AI, but a commitment to including outside perspectives throughout development is. I'm excited to hear the panel's thoughts on achieving these goals, which is all the more important in the wake of the U.S. Supreme Court's decision to end race-based affirmative action — another topic we'll discuss on the panel. See you there. #WeitzmanSymposium #AI #HealthTechnology #HealthEquity

AI Adoption in U.S. Health Care Won’t Be Easy - https://lnkd.in/g2TEHaBz - The key is to design and implement AI applications so that they earn the trust of providers, patients, and the public. - ShipWr3ck - \<div\>\<p\>The key is to design and implement AI applications so that they earn the trust of providers, patients, and the public.\</p\>\</div\> ~ Shared by https://shipwr3ck.com/

Immediate Insights from #ViVE2024: AI's Ethical Use in Healthcare. As we wrap up an incredibly insightful session on 'AI: The Good, The Bad, and the Governed,' Bliss Bio Health shares immediate takeaways and distills the insights for you: 1- There's an immediate call for clear guidelines shaping AI's integration in healthcare, addressing compliance, and managing risk. 2- Addressing AI biases is urgent to ensure representation across all patient demographics and to dismantle societal prejudices reflected in our technology. 3- We're seeing a growing consensus on AI governance principles, where bias mitigation and transparency are at the forefront. 4- It's time for actionable steps that align these principles with real-world healthcare decisions, steering away from any biased or misguided system incentives. We recommend reading Quintin "Q" Maidment's article attached, which echoes the session's themes and offers strategies for ensuring diversity and inclusivity in clinical trials, leading to equitable health outcomes. Thank you to the panelists Jennifer Geetter, Aneesh Chopra, Brigham Hyde, and Maneesh Goyal for sharing their expertise. #AIGovernance #HealthTech #VIVE2024 #BlissBioHealth #InclusiveInnovation

There is growing evidence that biases are inbuilt into AI technologies, mirroring inequities inherent in our society and health systems, which can lead to unintended consequences and may even cause harm. In our report below, we explore the risks posed to some populations and what can be done to mitigate them in 11 steps. Download the full report from our website here: https://lnkd.in/eHT4Gjbp #AIBias #AI #Healthcare #DigitalDivide #Equity #Inclusion #DigitalHealth #ArtificialIntelligence #GlobalHealth #HealthForAll

As a techy global health foundation, we followed the discussions about #AI in health at the World Health Assembly last week with interest. Here's our summary of headline themes from across different sessions! 🙌 We all have a moral obligation to make AI work to make health accessible for all. AI tools can help solve health workforce shortages, information overload and manage the rising burden of NCDs to name but a few applications. 🔎 Focus on the ‘pain points’ where AI can make a big difference in the health system (e.g. screening and diagnosis of cancers or diabetes, chest X-Rays for TB ) demonstrate its value and build trust. 📊 AI tools won’t help anyone if they’re not based on reliable, diverse and representative data sets reflecting the populations they’re being used in. 👩⚕️ AI is primarily about augmenting human capabilities in global health not replacing humans. For example, there’s A LOT of reporting and information in healthcare, so use generative AI speech to text to reduce this work for healthcare providers – meaning more time for patients! 💛 ‘Do no harm’ must remain the first priority by always using AI ethically and safely – requires not just common regulatory frameworks but also regulatory institutions to manage it. #WHA77 #AIforHealth #AIforGood #GlobalHealth Rich Bryson Onica Nonhlanhla Makwakwa Dr Emmanuel Agogo FRCGP HonMFPH Louisa Poole FCA PHILIPPE JACON Neha J Tanna M.D. MBA Jamie Starr Duncan Harris Bruce Adams World Health Organization

Generative AI has the potential to address longstanding public health challenges and make health care more efficient, effective, and equitable.     In her latest article, Beth Meagher, Deloitte US Federal Health Sector Leader, shares insights on the Deloitte Health AI Accelerator and how the collaboration of leaders from across the health sector, top minds from government, the nonprofit sector, academia and private industry will help drive the future of health for the American public.     Learn how we intend to work with public health leaders to understand the risks and opportunities around GenAI.    #Healthcare #Innovation #AI #FedHealthAIAcc 

At the Seventy-seventh World Health Assembly, a resolution was endorsed to embed regular and meaningful social participation in decision-making processes for health. This is one of the critical components for leveraging #AI in the healthcare context. (Link to full article in comments) To Achieve Meaningful Social Participation we need to transform at 3 different levels: Individual Level: Cultivate a #mindset of service and a desire for truth. Engage sincerely and transparently, prioritizing collective well-being. Community Level: Promote behaviors consistent with agreed-upon values. Ensure diverse voices are heard, and AI technologies are designed with community input. Institutional Level: Evolve policies to support continuous engagement. Create participatory mechanisms that are inclusive, diverse, and equitable, focusing on marginalized population Read the article (link in the comments below) Tedros Adhanom Ghebreyesus The Rockefeller Foundation Foreign, Commonwealth and Development Office The Global Fund John G Meara MD DMD MBA #AI #healthcare Reveal HealthTech Nele Jessel, MD #AI #Healthcare #SocialParticipation #WorldHealthAssembly #WHO #Innovation #CommunityEngagement

'Whether AI is good or bad for healthcare depends not on the tech but, rather, how it is built into existing and future human relations'. Thanks to Emily Johnsson for inviting me to talk on: Can AI regenerate our healthcare systems? Lovely meeting the participants within a community-led session chaired by Jessica Corbin in 'Regenerative Leadership'. Very interesting to hear about Jessica's health app 'Sorce'. Laura Storm Malmö University #ai #healthcare #regenerative