AIGP Health

Excited to announce that we've secured pre-seed funding from angel investors in Singapore and Japan to build the next era of healthcare innovation: Healthcare_OS. This platform aims to revolutionize primary care in Singapore, with a focus on smarter, more efficient solutions for chronic condition management. This will also work directly with users to ensure their health is in optimal condition. Nicholas Chia | Prateet Narula | Anindita Santosa | Yudara Kularathne MD, FAMS(EM) | Dr Sithira A. | Dinal Fernando | Salomi Arasaratnam | Mona Lisa Siriwardena #AIGP #AIGPHealth #ai #healthcareos

Telemedicine Challenges in Singapore: Innovating with Regulatory Compliance and Stakeholder Satisfaction. The landscape of Telemedicine in Singapore faces challenges: how can we innovate while ensuring regulatory compliance and meeting the needs of all stakeholders? Doctors require more efficient systems to optimize their time, while the Ministry of Health (MOH) demands extensive documentation and verification. There’s often a blame game between the two sides. Many people "clear medical certificates (MCs) to avoid wasting them", while doctors aim to sustain their clinics by seeing the necessary number of patients per hour, whether in-person or via telemedicine. I believe telemedicine is essential for an effective healthcare system, as not every patient requires an in-person visit, which often leads to overcrowding at hospitals and clinics. At the same time, telemedicine shouldn't become an easy way to obtain MCs. What’s your perspective on this? We saw this problem at AIGP way ahead and we will show you what we are working on this issue Nicholas Chia | Anindita Santosa | Prateet Narula | Dr Terence Tan | Mei-Ling Lu #aigp #telemedicine #singapore

Synthetic Data: In the event of Bioterrorism, if a new disease starts spreading rapidly, timely case identification, isolation, and treatment become critical. This rapid response is essential, and traditional methods often fall short due to data limitations. Synthetic Viruses needs Synthetic Interventions At HeHealth, we've developed the world’s first complete synthetic Disease Detection Model. Leveraging this technology, we can build a digital disease detection model on Day one, with as few as 10 cases, providing accurate diagnostics accessible from anyone’s smartphone. This might sound CRAZY, but our work was published in the prestigious Nature Portfolio Scientific Reports journal—read more about it below. https://lnkd.in/gH7z2-V3 HeHealth has faced criticism for pushing the boundry, but we’re committed to making a difference. Some people talk on LinkedIn; we just get to work. ;) Mei-Ling Lu | Michal S. | Janitha Prathapa | Dr Sithira A. | Salomi Arasaratnam | Thanveer Ahamed | Prarththanan Sothyrajah | Dinuka Wijesundara | Rayner Kay Jin Tan | Kelvin S. L. Chan, Ph.D. | Somesh Gupta | Raghav Tirupathi MD FACP FRCP(Lon) FIDSA | Shavinn Yeo | Delon Toh #hehealth #who #bioterrorism #diseasedetection

Same mistake, again and again: if you think you can build world-class healthcare AI without knowing anything about healthcare systems or medicine, YOU ARE WRONG. We've seen tech bros and their companies try to disrupt healthcare multiple times, only to fail. The clear reason? Lack of context. Healthcare systems and information are incredibly complex. Believe me, I'm all for moving fast and breaking things (with ZERO patient harm), but too many people still think they don't need any healthcare knowledge to create solutions for it. As a physician and tech startup founder, we’ve succeeded because we deeply understood the system, enough to find where disruption could actually work. If you’re truly motivated to make a difference in healthcare, you’d already be showing that in action. So please, if you're working on healthcare AI, bring people with real healthcare experience close to the project. OpenAI, let's do better! Dr Terence Tan | Graham Walker, MD | Dr Sithira A. | Salomi Arasaratnam | Mei-Ling Lu | Michal S.

What a awesome session and what a turnout from all the emergency doctors grim Singapore and APAC. Thanks John Dayton, MD, MBA for this see below the details and slides

Remember everyone, SEMS AI in Emergency Medicine session is tomorrow. below is the link :) US Time Date 6th November 2024 Time 9PM PST Singapore Time Date 7th November 2024 Time 1PM SGT Here is the Meeting link  https://lnkd.in/gU797t_P

Are you a doctor or medical student in Sri Lanka interested in learning about the big buzz around AI? We want to get to know you and work with you! Project AIM—AI in Medicine—is here for you. I’m leading a small interest group in collaboration with the Faculty of Medicine at the University of Colombo to drive this initiative. With the guidance of Dean Prof. Vajira, we’re eager to hear from doctors like you about your perspectives on AI in medicine. We’d love to know your concerns, what you want to learn to excel in this field, and any other questions or issues you have. Please use the link or scan the QR code to join the WhatsApp group, and stay tuned for an upcoming in-person meetup session. https://lnkd.in/gjvDpGQU Come and join us! Dr Sithira A. | Indika Karunathilake | Vajira Dissanayake #AIM #srilankan #UOC #UCFM #medicine

SEMS AI and Medicine Educational Series: We, at the Society of Emergency Medicine in Singapore (SEMS), are proud to present the first episode of our educational series on AI in Medicine. This session will be delivered by Dr. John Dayton, MD, MBA, an emergency physician with Intermountain Health, Assistant Professor at Stanford, and investor at Frame VC. Dr. Dayton was the inaugural Design and Innovation Fellow in Stanford's Department of Emergency Medicine and also completed a fellowship with the Byers Center for Biodesign. During his fellowship, he co-founded the EM Partnership Program (STEPP) and led the team's publication with BMJ Innovations. He also directed two Stanford Innovation Symposium (StEMI X) pitch events and led an American College of Emergency Physicians (ACEP) hackathon. This is an open session, and all interested participants are welcome to join. Date: November 7, 2024 Time: 1:00 PM Singapore Time Here is the Meeting link https://lnkd.in/gU797t_P any further details can reached to me :)) #emergencymedicine #ai #education #sems #asem

Nature Portfolio Scientific Reports: Disease Classification Model Using 100% Synthetic Data with an AUC of 99% — Too Good to Be True? When we first introduced this method, the world called it “snake oil.” Still skeptical? Read on. Imagine building a disease classification model entirely without real patient data, while preserving complete privacy. At HeHealth, we deal with some of the most sensitive health topics, so privacy is paramount. Because we truly care, we innovate aggressively to solve this problem. Starting with just 10 guide images, we create a comprehensive clinical dataset, controlling for disease variations, lighting conditions, skin tones, and more, resulting in high-quality data with minimal bias. One of the biggest questions we faced from ML community was concerns about overfitting. Read on to see how we completely avoided it, even having to provide secondary validation to reviewers before our results were accepted—no easy feat! At HeHealth, we genuinely care about our users, and we show it through our actions. A big thank you to my Harvard team Dr. Lao-Tzu Allan-Blitz, for working tirelessly to achieve this milestone! and my our advisors Prof Klausner and Prof Rietmeijer. Thanks Janitha Prathapa and Dr Sithira A. for awesome work internally. Here is the link to the paper https://lnkd.in/gH7z2-V3 Mei-Ling Lu | Michal S. | Dr Sithira A. | Janitha Prathapa | Salomi Arasaratnam | Thanveer Ahamed | Dinuka Wijesundara | Prarththanan Sothyrajah | Mona Lisa Siriwardena | Dulani Jagoda | Somesh Gupta | Rayner Kay Jin Tan | Kelvin S. L. Chan, Ph.D. | Daniel He | Raghav Tirupathi MD FACP FRCP(Lon) FIDSA | Dr Terence Tan | Amy Pearlman #hehealth #syntheticdata #naturejournal #scientificreports #AI #diseaseclasification

Talking EHR for Doctors and Patients: SWITCH2024 AIGP Health DEMO Our Healthcare_OS features a revolutionary, AI-powered EHR that allows both doctors and patients to interact naturally using voice. For Doctors: The EHR engages with patients to take a detailed history and prepares comprehensive notes even before you see them. It’s not just an ambient note-taker but an intelligent assistant that asks questions just like a trained nurse. For Patients: The EHR can access doctors' notes and provide tailored guidance on your medical condition, staying within the boundaries set by your doctor. There’s no need to navigate complex patient education pathways – let AIGP handle it for you. Our Healthcare_OS manages every aspect of patient care and will follow up with you, just like a clinic nurse would. Want to try it out? Drop us a message! Prateet Narula | Nicholas Chia | Anindita Santosa | Mei-Ling Lu | Michal S. | Dr Sithira A. | Salomi Arasaratnam | Mona Lisa Siriwardena | Dinal Fernando #AIGP #primarycare #singapore