Tempus AI’s Post

Today is World Cancer Day, and Aiforia expresses solidarity with those confronting this global health challenge. In the realm of healthcare, leveraging AI technology has unlocked considerable potential. It offers a transformative influence on cancer care, elevating the pace, precision, and accessibility of medical information and treatment alternatives. With Aiforia's powerful deep learning AI and cloud-based solutions, we're dedicated to contributing to this vital evolution. Together, let's advance the dialogue on cancer awareness and the role of AI in closing the care gap. #WorldCancerDay #CloseTheCareGap #AI

As many as 𝟰 𝗼𝗳 𝟱 of the world's patient data sets come from people of European descent. How can we develop therapies for all populations if our algorithms are trained on data from mostly one group? 📈 “Relying on data that represents too narrow a population will be full of gaps and biases, which the AI and machine learning algorithms will learn,” says Genialis’ CEO Rafael Rosengarten. In a recent Forbes article, Rafael discussed how Genialis is working to change this by assembling the world's most 𝗲𝘁𝗵𝗻𝗼-𝗴𝗲𝗼𝗴𝗿𝗮𝗽𝗵𝗶𝗰𝗮𝗹𝗹𝘆 𝗱𝗶𝘃𝗲𝗿𝘀𝗲 𝗰𝗮𝗻𝗰𝗲𝗿 𝗱𝗮𝘁𝗮 𝘀𝗲𝘁𝘀. 🌍 Check the link in the comments to read the full article by Jennifer Kite-Powell. 📷: Mario Tama/Getty Images

In a game-changing development, researchers have unveiled a groundbreaking AI feature that promises to revolutionize healthcare. This innovative technology utilizes advanced machine learning algorithms to analyze medical images with unprecedented accuracy, enabling early detection of diseases such as cancer. With its ability to identify subtle anomalies that might escape the human eye, this AI-driven solution has the potential to save countless lives by facilitating early intervention and treatment. Stay tuned for more updates as this cutting-edge AI feature transforms the landscape of healthcare as we know it. #AIInHealthcare #MedicalBreakthrough #GameChanger

A couple of months ago, I read something about Medicine 3.0 and how revolutionary it could be for our healthcare. However, implementing Medicine 3.0 is going to be expensive and resource-intensive. However, with AI, it could become much more accessible. The main difference between the current version of healthcare (v2.0) and v3.0 is that it will try to predict and prevent diseases you might get in the future. So, you will end up living healthier and longer at the same time. This episode of our podcast is a great listen if you want to learn more about the future of healthcare.

The Innovation Room: Can AI remedy healthcare? On the latest episode of The Innovation Room, Somayeh Aghnia FBCS FRSA explores with oncologist and cancer researcher of UCL, Adam Pennycuick whether AI marks a revolution or evolution in medicine. They examine AI's role in transforming healthcare from reactive to predictive, unlocking preventative care through data-driven insights. Somayeh and Adam also explore the pitfalls, from biased data to communicating complex risk models. Ultimately, both predict an evolutionary path where AI assists, not replaces, human expertise. Watch or listen to this episode now: https://lnkd.in/eqvr9e9m #TheInnovationRoom

Did you know that artificial intelligence can help detect early signs of diseases such as cancer, allowing for more effective treatment? To read more about Artificial intelligence (AI), click here: https://lnkd.in/dBGdySmf #FridayFacts #FridayFunFacts #QNRConnect #casasinteligentes #medicaldevice #FDA #diagnositcimaging #articles #blogs #facts #medicalfacts

Protecting science against fake news or fake results always has been important, but becomes increasingly so with the arrival of artificial intelligence programs. Let’s raise awareness with our current and future reviewers in urolgy, and discuss how to accomplish this.

Discover how Virasoft's AI-powered decision support algorithms, namely as VIRASIGHT, assist pathologists in the diagnosis of cancer types. We're here to answer all your questions about Virasoft's AI-powered decision support algorithms and VIRASIGHT's integration with Virasoft's Image Management System. For more information visit www.virasoft.com #VirasoftSolutions #AI #DecisionSupportAlgorithms #DigitalPathology #Virasoft #Virasight

In an exciting collaboration with Dr. Praveen Meka at Dana-Farber Cancer Institute, Christine Tsien Silvers, MD, PhD, Qing Liu, and Rod Tarrago, MD, we look into the fascinating question of whether AI can reason like a clinician. Our latest blog post explores this topic through the lens of arterial blood gas analyses, a crucial diagnostic tool in healthcare. Arterial blood gas analysis is a complex process that requires clinicians to synthesize multiple data points and apply intricate reasoning to arrive at a diagnosis and treatment plan. In this blog, we discuss how we leveraged advanced AI techniques, including large language models and knowledge graphs, to emulate the clinical reasoning process. Key highlights: 🔹 Understand the challenges and nuances of replicating clinical reasoning with AI 🔹 Explore the potential of AI in augmenting and supporting clinicians' decision-making 🔹 Gain insights into the future of AI in healthcare and its impact on patient care Whether you're a healthcare professional, AI enthusiast, or simply curious about the intersection of technology and medicine, this blog post offers valuable insights. Check it out and let me know your thoughts! [Link to the blog: https://lnkd.in/ehWTAmJ4] #AI #GenerativeAI #Healthcare #ClinicalReasoning #AWS