"Co-authored paper on BoneHealth AI Suite published at INDIACom 2025"

AI-Powered Stethoscope Revolutionizes Heart Condition Diagnoses In a groundbreaking development, researchers at Imperial College London have introduced an AI-driven stethoscope capable of identifying heart failure, valve disease, and atrial fibrillation within a mere 15 seconds. This cutting-edge device merges sound analysis with rapid ECG technology, swiftly transmitting data to the cloud. AI algorithms then pinpoint subtle abnormalities, surpassing the detection abilities of even seasoned professionals. Initial trials revealed a significant 2–3x increase in early diagnosis rates compared to conventional methods. Consider the profound implications for remote clinics and emergency departments. Picture the swift actions and lives preserved through a quick 15-second assessment. This isn't just a leap in technology; it's a crucial advancement in healthcare. Now is the time for professionals in healthcare, medtech, and AI sectors to explore avenues for scaling, funding, and implementing this breakthrough. Let's collaborate and strategize on extending this life-saving innovation to communities in dire need. #AIinHealthcare #MedTech #Innovation #DigitalHealth #RecentBreakthrough #TechForGood #HealthcareTransformation #HealthEquity GE HealthCare AMAZON Health Qure.ai Tempus AI Hippocratic AI

Can patients truly trust the tech? 🩺❤️ #WorldPatientSafetyDay To mark World Patient Safety Day, we shine a light on how artificial intelligence is reshaping one of the most sensitive areas of #healthcare: #cardiology. But while the technology races ahead, are patients ready to follow? A new study by Prof Ben Voyer, Cartier Chaired Professor of Behavioural Science at ESCP, and Catarina Menicha Machado, explores how patients with cardiovascular disease perceive and accept #AI in their treatment. Published in the British Journal of Healthcare Management, this qualitative #research dives into the emotions, experiences, and ethical concerns shaping #patient trust in AI. From the importance of human endorsement by #healthcare professionals to the impact of illness severity and age, the study highlights that trust in AI is not built on #technology alone—it’s built on communication, credibility, and compassion. 💬 As healthcare systems embrace innovation, this research is a crucial reminder: patient voices must lead the conversation. 👉 Read the full research here: https://lnkd.in/eXmauA8a #ESCPResearch

🚨 𝗧𝗵𝗲 𝘄𝗼𝗿𝗹𝗱’𝘀 𝗳𝗶𝗿𝘀𝘁 𝗔𝗜 𝗵𝗼𝘀𝗽𝗶𝘁𝗮𝗹 𝗶𝘀 𝗵𝗲𝗿𝗲. A hospital where doctors never sleep. 𝗪𝗵𝗲𝗿𝗲 𝗱𝗶𝗮𝗴𝗻𝗼𝘀𝗲𝘀 𝗮𝗿𝗲 𝗻𝗲𝗮𝗿-𝗶𝗻𝘀𝘁𝗮𝗻𝘁. Where every patient can access world-class care—in seconds. Developed by Tsinghua University’s Institute for AI, this AI Agent Hospital launched in April 2025, with public pilots starting in May. 𝗪𝗵𝗮𝘁 𝗺𝗮𝗸𝗲𝘀 𝗶𝘁 𝗴𝗿𝗼𝘂𝗻𝗱𝗯𝗿𝗲𝗮𝗸𝗶𝗻𝗴? ✅ 42 AI doctors across 21 specialties, from cardiology to neurology ✅ Not chatbots—autonomous agents that diagnose, plan treatments, and follow up ✅ 10,000+ cases diagnosed within days during testing ✅ 93.06% accuracy on the U.S. MedQA licensing benchmark ✅ Even used to train medical students 💡 𝗠𝘆 𝗽𝗲𝗿𝘀𝗽𝗲𝗰𝘁𝗶𝘃𝗲: The real story isn’t just faster care. It’s data gravity. Every diagnosis, treatment, and outcome feeds back into the system. Each consultation doesn’t just help one patient—it makes the entire hospital smarter. Unlike human doctors who build knowledge over years, these AI agents compound intelligence across millions of interactions in real time. This could redefine healthcare. Quality may no longer depend on geography, wealth, or access to specialists—but on who governs these vast networks of medical intelligence. Cₕᵢₙₐ ₘₐy ₕₐᵥₑ ₛₑₜ ₜₕₑ fᵢᵣₛₜ bₑₙcₕₘₐᵣₖ. Bᵤₜ ₜₕₑ ᵣₑₐₗ ᵣₐcₑ ᵢₛₙ’ₜ ₐbₒᵤₜ wₕₒ bᵤᵢₗdₛ ₜₕₑ fᵢᵣₛₜ ₐᵢ ₕₒₛₚᵢₜₐₗ— 👉 Would you trust an AI doctor with your diagnosis? #AI #Healthcare #Innovation #FutureOfWork #China #follow #aloktomar #follow

Daily AI Insights - News 🧠 ✨️ Imperial College London researchers have unveiled an AI-powered stethoscope that can detect major heart conditions within seconds, dramatically outperforming traditional methods 🔍The study: • The card-sized device was tested in 200 doctors’ offices with more than 12,000 patients • Results showed double the detection rate for heart failure, along with a 3.5x increase in identifying atrial fibrillation and nearly 2x higher diagnosis rates for valve disease • Unlike a conventional stethoscope, the device not only listens but also captures ECG readings while AI algorithms analyze heartbeat patterns and blood flow variations too subtle for the human ear • Waveform data from thousands of patient recordings is processed in the cloud, flagging at-risk patients in seconds 🗝 Why its important: The AI stethoscope is poised for rollout across the UK, transforming one of medicine’s most iconic tools—largely unchanged since the 1800s—into a proactive diagnostic powerhouse. By enabling faster, earlier detection, it has the potential to save countless lives and reduce the strain on healthcare systems. 🔗 British Heart Foundation - https://lnkd.in/ee6XrCSu #RepresentAI #DailyAIInsights #Medicine #Healthcare

Machine-learning tool gives doctors a more detailed 3D picture of fetal health | MIT News MIT researchers have introduced "Fetal SMPL," a machine-learning tool designed to produce precise 3D models of fetal development using MRI data. Trained on 20,000 scans, it accurately predicts fetal size, shape, and movement, enabling clinicians to identify potential abnormalities with unprecedented clarity. Unlike traditional 2D ultrasounds and limited 3D MRI interpretations, Fetal SMPL overcomes challenges stemming from the fetus's constrained environment, offering accurate alignment and measurements. This groundbreaking approach has the potential to revolutionize prenatal diagnostics, paving the way for more detailed assessments of fetal health. As AI continues to enhance healthcare, advancements like these remind us of technology's transformative power. Learn more at: https://lnkd.in/eftqwaGq What are your thoughts on this? Don't hesitate to share your thoughts and ideas in the comments below. DevTech is always eager to hear from our community and learn about your experiences and perspectives. Looking forward to connecting with you! #devtech.pro #AI #technology #trending #news #innovation #technology This article is written and published by Doki. Doki is our documentation's and social media's AI Agent.

An AI stethoscope just diagnosed heart failure in 15 seconds. Doctors at Imperial College London just tested an AI-powered stethoscope that may change medicine forever. In a trial with 12,000 patients: ✅ It doubled the diagnosis rate for heart failure. ✅ It tripled detection of atrial fibrillation. ✅ It spotted valve disease in 15 seconds. The device, built by Eko Health, listens to the heart, records sound + ECG data, uploads to the cloud, and returns results instantly to a smartphone. Well, this is no longer science fiction. This is 12,000 real patients in the NHS system. Here’s the uncomfortable truth: If an AI stethoscope is already outperforming traditional diagnosis, other traditional roles in medicines that were deemed impossible to be replaced will get replaced. But hopefully, more doctors and all healthcare workers will be fully prepared to embrace A.I and technology for the advancement of patients health. 💬 What do you think? Personally, I don't think A.I will easily replace humans who are doctors and healthcare workers. Cc: https://lnkd.in/dMkjBe-Y, Imperial College London. #AI #Healthcare #Innovation #FutureOfWork #EkoHealth #MedicalAI

📊 Data + AI Prediction: The Global Shift Against Overuse of Scans & Surgeries 🤖 When we analyse healthcare data across the last 30 years, a clear pattern emerges: 📈 Medical scans (CT, MRI, PET) usage has increased by >250% in many Western countries. 💸 Yet complications from radiation exposure and unnecessary surgeries have also grown. ⚠️ WHO & independent research warn that up to 30% of global surgeries are “unnecessary” or “avoidable.” 🌍 Countries Already Taking Action (Observed Data): India 🇮🇳 – Suspended certain nuclear scans until safety checks. Germany/EU 🇪🇺 – Rejected unsafe full-body scanners and raised privacy/health concerns. African Nations 🌍 – Reducing reliance on Western surgical models, focusing on prevention & community medicine. Iran 🇮🇷 – Limited imports of expensive Western imaging technologies. 🤖 AI Forecast (Next 10 Years): 40% probability that more nations in Asia & Africa will regulate scans due to radiation risks. 65% probability of global policy shifts toward prevention-first medicine, reducing surgical dependency. 80% probability of people-led demand for affordable, traditional, and safer treatments — challenging profit-driven hospital models. ⚡ Why It’s Not Good to Depend Solely on Scans & Surgeries: Health outcomes don’t improve proportionally with technology usage. Costs rise, but long-term healing is often neglected. Over-medicalisation leads to chronic patient dependency instead of empowerment. 📢 Global People’s Movement Needed: Data shows the trend. AI predicts the future. Now, people across nations must unite for a healthcare model based on: ✔️ Prevention ✔️ Safety ✔️ Traditional & affordable healing ✔️ Transparency over profit 🔎 Resources & References: World Health Organization (WHO) – Global Health Estimates OECD Health Data – Imaging and Surgery Statistics NIH (National Institutes of Health) – Unnecessary Surgery Report PubMed/PMC – Radiation Risks of Medical Imaging European Parliament – Ban on Full Body Scanners (2011) ScienceDirect – Overuse of Diagnostic Imaging & Radiation Exposure #AI #DataAnalysis #GlobalHealth #HealthTech #MedicalEthics #PatientSafety #Scans #Surgeries #PublicHealth #HealthAwareness #HealthcarePrediction

✨ New Publication Alert! ✨ I am delighted to share our recently published book chapter: “Delving into Diabetic Foot Ulcers and Deciphering the Role of AI and ML in DFU Management.” 🔎 What’s inside this chapter? 1-A comprehensive exploration of diabetic foot ulcers (DFUs) – one of the most devastating complications of diabetes. 2-The challenges of early diagnosis, management, and preventing amputations. 3-How Artificial Intelligence (AI) and Machine Learning (ML) are reshaping DFU detection, prediction, and personalized treatment strategies. 4-Future perspectives on integrating digital health tools for smarter wound care. 💡 Why it matters? DFUs affect millions globally, often leading to severe disability. With AI-driven solutions, we are moving towards precision medicine, timely interventions, and improved patient outcomes. 📖 This chapter bridges clinical insights with cutting-edge AI approaches, highlighting the promise of technology in transforming diabetic foot care. link: https://lnkd.in/dVQCR8JJ Nova Science Publishers, Inc.# American Diabetes Association# Diabetic Wellbeing Foundation# Diabetic Foot Care and Risk Assessment# DiabeticWatchers #DiabeticDiabetic foot caree#Diabetes UKK#Artificial Intelligence Community of Pakistann#National Center of Artificial Intelligence - NCAI, Pakistann#Artificial Intelligence in FS Conference seriess#Artificial Intelligencee#Artificial Intelligence in Healthcaree#Artificial Intelligence in Healthh#Machine Learningg#Machine Learningg#University of Karachii#HEC Pakistann#International Center For Chemical and Biological Sciencee

AI doesn’t fail at math. It fails at the handoff. #AIinPractice 📊 A recent JAMA Network Open study tested AI-generated emergency handoff notes. The findings? AI notes were faster and more consistent—but also introduced omissions and logical gaps that required clinician review (News-Medical summary https://lnkd.in/eafsQ-48 ) In cardiology, where a “handoff” might include data like a patient’s ejection fraction, important findings like rhythm changes, or essential symptoms like new chest pain, these gaps are not trivial—they can shape outcomes. ✅ But there are good models emerging. At NYU Langone, GPT-4 was used to draft patient-friendly explanations of echocardiogram reports. Every draft went through board-certified cardiologist review before being shared. The result? Patients got clearer reports, and physicians saved time—all while preserving safety (NYU Langone https://lnkd.in/eiH4QTkM ). 🔑 Lesson: AI can accelerate the work, but the handoff must be designed for human review. 👉 For health systems: Measure not just efficiency gains, but also outcomes in transitions of care. Build in checkpoints, standardized templates, and clinician oversight. That’s where equity and safety are tested, and where patients feel the difference. #HeartHealth #DigitalHealth #CareEverywhere #PatientSafety

📊 Elevate Your Expertise with Evidence In aesthetic medicine, expertise is more than intuition — it’s the ability to back every recommendation with objective, data-driven insights. At Caarisma Med, we empower practitioners to move beyond subjective assessments with tools like the Facial Youthfulness Index (FYI) and Facial Aesthetic Index (FAI). By combining AI with evidence-based metrics, we help clinicians: ✅ Elevate their expertise through measurable analysis ✅ Enhance patient trust with clear, objective data ✅ Demonstrate outcomes that go beyond before-and-after photos ✅ Refine treatment strategies with science-backed precision Because in today’s world, patients don’t just want results — they want evidence. And evidence elevates expertise. 💬 How do you currently use data to strengthen your clinical decisions? #CaarismaMed #ElevateWithEvidence #AestheticMedicine #AI #FacialYouthfulnessIndex #FacialAestheticIndex #DigitalTransformation #MedicalAesthetics Chris Kraneiss Rainer Pooth Dr. Henrik Luessen Claudia Malek Prof.assoc. Dr.med. Klaus Fritz Doris Day, MD Kristine Romine, MD, FAAD, PCEO Sheila Barbarino, MD, FACS Sebastian Cotofana, MD, PhD, PhD