PCS.ai’s Post

Let doctors be doctors. The attention #trap Just as mobile phones have captured people's attention, medical information systems have captured the attention of doctors. After living with my son Sergio's rare disease (#DravetSyndrome) for 15 years and hundreds of doctor visits, I've realized that doctors spend more time looking at the computer than at Sergio. They spend more time typing than examining the patient. AI as the engine of change Artificial intelligence must be the driving force to change this dynamic and tear down the screen between doctor and patient. At Foundation 29, this is precisely what we are striving to achieve. Our diagnostic support tool http://dxgpt.app Represents our research effort in this direction. Empowering doctors, engaging patients By harnessing the power of AI, we aim to empower doctors to focus on what truly matters - connecting with their patients, actively listening, and providing compassionate care. Technology should enhance the doctor-patient relationship, not hinder it. Join us in our mission to let doctors be doctors. Together, we can leverage AI to revolutionize healthcare, enabling physicians to dedicate their attention to the human beings in front of them. Let's work towards a future where technology supports, rather than distracts, from the art of #healing. #rarediseases #diagnosis #dxgpt

Breaking News! 🚨 Millions of patients in England will soon benefit from cutting-edge artificial intelligence technology that can detect suspected fractures. This new £1 AI scan aims to support NHS doctors in catching bone breaks earlier, reducing the risk of missed or late diagnoses. With human error contributing to missed fractures in up to 10% of cases, this AI solution is designed to lessen medical oversight and improve patient outcomes - minimising further harm and potential complications. 💡 The new AI system promises to boost detection accuracy, lighten the load on A&E teams, and provide more consistent care across the NHS. This initiative is a major step toward harnessing AI to reduce medical negligence and provide safer, faster patient care. #HealthcareTech #CTScan #NHSInnovation #UKHealthcare

AI-ML has the potential to revolutionize the healthcare landscape. The technologies have already been used to bring ease and accuracy to medical condition diagnosis. Read the case study to learn how Logituit helped a USA-based healthcare tech to predict accurate epilepsy with Machine Learning technology. Read it here: https://lnkd.in/gkRJqNfW #logituit #casestudy #healthcare #medical #ai_ml #diagnosis #epilepsy

An exciting leap in emergency care has emerged with ARTEMIS, a cutting-edge AI program that enhances heart attack diagnosis. Research shows it outperforms traditional criteria, enabling quicker and safer patient triage in overwhelmed departments. With a 99.96% negative predictive value, this innovation could revolutionize how we approach chest pain cases. Let’s explore how AI can shape the future of hospital marketing and patient care strategy. #HealthTech #HealthcareMarketing

Medical emergency teams can act faster with #AI. SimWerx uses #IntelAI to power Prediction Guard to help save lives by enhancing medical training and operational readiness. https://intel.ly/3YHcAsP #ResponsibleAI #StartsWithIntel #LLM

By simplifying access to a secure, private GenAI platform, Prediction Guard is enabling companies like SimWerx to deploy AI solutions in high impact scenarios. Thanks to Intel Corporation for featuring this story and for supporting as we scale! #Thankyou #AI #genai #llm #llms

Thrilled to unveil my latest project in healthcare technology! Leveraging the power of AI, my Diabetes Diagnosis Machine Learning model delivers precise diagnoses, revolutionizing patient care. Proud to contribute to the advancement of healthcare through innovation! Thanking InternPe for giving me this opportunity to show my skills in Machine Learning. #MachineLearning #HealthTech #DiabetesDiagnosis #AIForGood

Generative AI in Your Desk Drawer: LLMs for Everyone Very large health care systems and academic medical centers can employ programmers to create their own LLMs, according to David Kereiakes, managing partner at Windham Venture Partners. In addition to patient data, they ingest organizational data suc... https://lnkd.in/eQ_XN3Gw #BioTech #science