Lucem Health

?? New Blog Series Alert: Foundations of AI for Early Detection of Lung Cancer ?? We're excited to unveil our latest blog series, diving deep into the transformative potential of AI in the early detection of lung cancer. This series kicks off with an expert roundtable discussion that sets the stage for a comprehensive exploration of AI's impact on healthcare, from model development to real-world application. Meet Our Esteemed Panelists: - Eran Choman, Chief Clinical Research and Compliance Officer at Medial EarlySign, brings a wealth of knowledge on the clinical and compliance aspects of integrating AI into healthcare. - Dr. Coby Metzger, MD, Data Scientist at Medial EarlySign, offers a unique perspective on the interdisciplinary approach between medicine and data science. - Dr. Ben Glicksberg, PhD, Chief Data Science Advisor at Lucem Health, shares insights on leveraging digital health data for early disease detection. - Andrei Petrus, Senior Manager of AI Solutions at Lucem Health, discusses the technical challenges and solutions in creating effective AI models. - [Moderator] Marilyn Agbeko, Product Strategist at Lucem Health, navigates this comprehensive discussion, ensuring a focus on meaningful and actionable AI applications. In our first entry, we explore the significant advancements in predictive analytics that could change the face of lung cancer screening and diagnosis. How can AI bridge the gap between current screening guidelines and the future of personalized, preventive healthcare? Join us as we dissect the challenges, solutions, and ethical considerations of AI in lung cancer detection with leaders at the forefront of this exciting field. This series promises to enlighten, educate, and inspire innovation across the healthcare ecosystem. Stay tuned for profound insights that could redefine the standards of early detection and patient care. ?? https://hubs.ly/Q030bpXP0 #AILungCancerDetection #HealthcareInnovation

CB Insights looked into Mayo Clinic's AI investments focus on leveraging technology to transform healthcare delivery and hospital operations. There are broadly five categories - (1) Monitoring and diagnostics - investments in companies such as Acorai, Clarapath, Endiatx, Mediwhale, Updoc, Lucem Health, and InfoBionic.Ai developing AI tools to enhance disease detection and patient monitoring capabilities. (2) Hospital operations technology - partnerships with firms like Abridge Cobot - Collaborative Robotics, Inc and basys.ai to optimize hospital workflows, communication, and efficiency (3) Customized therapeutics - supporting innovation in precision medicine with companies like Bionaut Labs and JOGO Health to deliver tailored treatment solutions (4) Clinical trials technology - investment in platforms like The Contract Network aiming to streamline clinical trial processes and improve research operations (5) Surgical tools - collaborations with firms such as Medivis to advance AI-assisted surgical procedures and tools

With deep appreciation to our partners at Lucem Health and our clinical AI team at Medial EarlySign, the content served here is invaluable to those in the healthcare ecosystem looking to explore the development and deployment of #earlydetection solutions from experts who have actually done this before. The information is validated, timely, and practical.

?? Blog Series: Foundations of AI for Early Detection of Lung Cancer - Part 3 ?? The series finale is here! Dive into the crucial learnings from this segment of our expert roundtable discussion with Medial EarlySign: ?? Equitable AI Performance: How AI-driven screening can ensure fair and consistent healthcare delivery to various demographic groups, promoting inclusivity and improved patient outcomes. ?? Keeping Physicians in The Loop: Discussing AI as a supportive tool that amplifies clinicians' capabilities without replacing them, fostering a collaborative healthcare environment. ??? Resource Challenges: Addressing the necessary investments to leverage AI technologies effectively, ensuring that healthcare systems are equipped for this digital transformation. Our Expert Panel: Eran Choman, Chief Clinical Research and Compliance Officer at Medial EarlySign Dr. Coby Metzger, MD, Data Scientist at Medial EarlySign Ben Glicksberg, Chief Data Science Advisor at Lucem Health Andrei Petrus, Senior Manager of AI Solutions at Lucem Health [Moderator] Marilyn Agbeko, Product at Lucem Health ?? https://hubs.ly/Q034kK4K0 #AIInLungCancerDetection #HealthcareInnovation

The future according to Mayo Clinic Mayo Clinic's investments show how AI is transforming the hospital #AI #ArtificialIntelligence #MachineLearning #Tech #BigData #HealthcareAI #DigitalTransformation #Healthcare #HealthTech #MedTech #Telemedicine #HealthInnovation #Investing #VentureCapital #StartupFunding #AngelInvesting #Technology #VC #Data #Dev #GenAI #GenerativeAI #Biotech #LLM #Multimodal #CareOps #Medical CB Insights Acorai Endiatx Lucem Health Mediwhale UpDoc Abridge basys.ai Cobot - Collaborative Robotics, Inc Bionaut Labs JOGO Health Medivis

We are pleased to bring you Part 2 of our joint blog series with Lucem Health that provides insights into the intersection of AI and early detection of lung cancer. Titled “Foundations of AI for Early Detection of #LungCancer,” this roundtable discussion brings together domain experts including physicians, data scientists, and clinical researchers.?Senior leaders from both Lucem Health and Medial EarlySign provide real-world takeaways into key aspects of model development for early detection of lung cancer – from the data used to train models, the clinical and financial impacts, keeping physicians ‘in the loop’, ethical considerations, and more. https://lnkd.in/gN_kTqYB Esteemed Panelists: Eran Choman, Chief Clinical Research and Compliance Officer at Medial EarlySign Coby Metzger, MD, Data Scientist at Medial EarlySign Ben Glicksberg, PhD, Chief Data Science Advisor at Lucem Health Andrei Petrus, Senior Manager of AI Solutions at Lucem Health [Moderator] Marilyn Agbeko, Product at Lucem Health #AILungCancerDetection #HealthcareInnovation

?? Blog Series: Foundations of AI for Early Detection of Lung Cancer - Part 2 ?? We're excited to bring you Part 2 of our joint blog series with Medial EarlySign that digs deeper into the intersection of AI and early detection of lung cancer. ?? https://hubs.ly/Q032tmHX0 Highlights from this part of our expert roundtable include: ???Financial & Clinical Benefits: How improved screening compliance through AI unlocks significant cost savings and enhances patient outcomes, enabling early-stage detection and better survival rates. ???Addressing Model Drift:?Exploring the dynamics of data drift, prior probability shifts, and concept drift, emphasizing the need for constant model evaluation and adaptation to ensure long-term model efficacy. ???Cultural Sensitivity & Patient Engagement: Highlighting the importance of culturally informed patient outreach to maximize AI's effectiveness in lung cancer detection, ensuring that technological advances translate into real-world patient benefits. ???Measuring Impact:?Our panelists stress the importance of establishing clear benchmarks and adapting standards to measure AI's effectiveness in transforming lung cancer screening protocols. Our Esteemed Panelists: * Eran Choman, Chief Clinical Research and Compliance Officer at Medial EarlySign * Dr. Coby Metzger, MD, Data Scientist at Medial EarlySign * Dr. Ben Glicksberg, PhD, Chief Data Science Advisor at Lucem Health * Andrei Petrus, Senior Manager of AI Solutions at Lucem Health * [Moderator] Marilyn Agbeko, Product at Lucem Health #AILungCancerDetection #HealthcareInnovation

Thank you to our partners at Lucem Health for hosting clinical, AI, and IT experts from Medial EarlySign and Lucem for this groundbreaking roundtable which addresses key issues around the effective and ethical deployment of AI-based solutions for early detection of Lung Cancer.

Thank you to our partners at Lucem Health for hosting clinical, AI, and IT experts from Medial EarlySign and Lucem for this groundbreaking roundtable which addresses key issues around the effective and ethical deployment of AI-based solutions for early detection of Lung Cancer.

?? New Blog Series Alert: Foundations of AI for Early Detection of Lung Cancer ?? We're excited to unveil our latest blog series, diving deep into the transformative potential of AI in the early detection of lung cancer. This series kicks off with an expert roundtable discussion that sets the stage for a comprehensive exploration of AI's impact on healthcare, from model development to real-world application. Meet Our Esteemed Panelists: - Eran Choman, Chief Clinical Research and Compliance Officer at Medial EarlySign, brings a wealth of knowledge on the clinical and compliance aspects of integrating AI into healthcare. - Dr. Coby Metzger, MD, Data Scientist at Medial EarlySign, offers a unique perspective on the interdisciplinary approach between medicine and data science. - Dr. Ben Glicksberg, PhD, Chief Data Science Advisor at Lucem Health, shares insights on leveraging digital health data for early disease detection. - Andrei Petrus, Senior Manager of AI Solutions at Lucem Health, discusses the technical challenges and solutions in creating effective AI models. - [Moderator] Marilyn Agbeko, Product Strategist at Lucem Health, navigates this comprehensive discussion, ensuring a focus on meaningful and actionable AI applications. In our first entry, we explore the significant advancements in predictive analytics that could change the face of lung cancer screening and diagnosis. How can AI bridge the gap between current screening guidelines and the future of personalized, preventive healthcare? Join us as we dissect the challenges, solutions, and ethical considerations of AI in lung cancer detection with leaders at the forefront of this exciting field. This series promises to enlighten, educate, and inspire innovation across the healthcare ecosystem. Stay tuned for profound insights that could redefine the standards of early detection and patient care. ?? https://hubs.ly/Q030bpXP0 #AILungCancerDetection #HealthcareInnovation