#ai_berlin’s Post

Day 1 for the online Harvard Medical School AI in Clinical Medicine course! This program offers valuable insights into using AI to improve diagnostic accuracy, streamline clinical workflows, and promote health enhancement. I look forward to applying these concepts to our research and clinical practice, where AI has immense potential to improve patient outcomes. #HarvardMedicalSchool #AIinMedicine #ClinicalResearch #MaternalFetalMedicine #MFM #HealthcareInnovation #MedEd

📃 AI-Health Research Medical diagnosis based on artificial intelligence and decision support system in the management of health development. Artificial intelligence enhances medical diagnosis accuracy. 🤖📊 CDSS models show promising results in mental and physical health assessments. https://lnkd.in/dtr9Y22a

The topic of AI, to me, has no ceiling nor boundaries. It's scary to think of what artificial intelligence can do if placed in the wrong hands or used for the wrong purpose. But, the interesting and exciting side is wondering how beneficial this can be in our lives. The things we don't know today will soon be something we learn and teach tomorrow. I hope the Center for Health AI will be a playground for the outstanding minds at BJC and WashU to create a better future. #AI #Healthcare #Community

In the following paper, the authors highlight the critical need for AI in health care (AIH) to primarily benefit patients: https://lnkd.in/dTmufdzV They underline the importance of AI as a complementary tool rather than as a replacement in health care. They conclude that it is an ethical imperative to make sure AIH benefits patients. Benefits must be maximized across all walks of society and harms must be minimized, to the extent practical constraints will allow. Among the harms to be minimized are those inflicted by the current health care system, from medical errors to lack of access. Amen to that!

LLMs in Health Last week I attended the AI in Health Conference (https://lnkd.in/gfrzzHDv) by Rice's Ken Kennedy Institute. Worth noting is the fundamental growth in applications of Generative AI being worked on by students and researchers (including at Rice U, the Texas Medical Center, and elsewhere). There were seven or so main session talks and perhaps a dozen more poster sessions with relevant examples. A random sampling of the uses I jotted down include: - early dementia detection - post operative FAQs - visualizing breast reconstruction - aphasia detection - patient medical QA - ECG diagnosis & sleep health - diagnostic error event detection - medical notes transcription I certainly expect more growth in this area as people continue to figure out how to integrate health data into their generative models.

😱 Artificial Intelligence or AI helps people before death? 😱 In the summer of 2018, Dr. Bob Gramling visited his lab at the University of Vermont’s medical school and found Brigitte Durieux, an undergrad research assistant, in tears. 😥 This moment highlighted the emotional weight of their work, which involves studying conversations between doctors, patients, and families about end-of-life care. 😇 Bob’s experience with his father's Alzheimer's made him realize how vulnerable people feel during these conversations. This inspired him to research how these discussions can be improved, leading to the creation of the Vermont Conversation Lab. Funded by a $1 million grant from the American Cancer Society, the lab has recorded over 12,000 minutes of conversation involving 231 patients to understand what makes patients and families feel heard and understood. 👨💼 One key project in the Vermont Conversation Lab involved analyzing moments of silence in conversations. Brigitte's job was to categorize these silences, which can indicate emotional connections between doctors and patients. 📊 The goal was to train a computer program to detect these pauses and use them as markers of important emotional interaction. 📌 Improving communication in healthcare, especially in palliative care, is crucial. Studies emphasize the need for honest and sensitive conversations about dying. 📍 However, current training often relies on scripts and templates, which are not enough. Effective communication requires understanding, listening, and the ability to recover from mistakes. #PalliativeCare #EndOfLifeCare #DoctorPatientCommunication #HealthcareInnovation #PatientCare #MedicalResearch #ArtificialIntelligence #HealthTech #CompassionateCare #CommunicationSkills #MedicalHumanities #Linguistics #PatientExperience #HealthcareImprovement #ClinicalResearch #EmotionalIntelligence #PalliativeMedicine #HealthcareTechnology #PatientCenteredCare #MedicalEthics

The use of AI in healthcare can free up 1.944 million hours annually for doctors and save between 380,000 and 403,000 lives each year. 👨⚕️ These are just some of the benefits of artificial intelligence 🤖, but not the only ones. Nina Sesto, PhD, AI4Health.Cro Coordinator for Healthcare, Assistant Director at the Magdalena, Clinic for Cardiovascular Medicine, and CEO of MEGI Health, shared her thoughts on this topic in a recent interview. 🎤 What positive impact has AI had? Is there any reason to be afraid? 😨 How is the AI4Health.Cro project making significant strides in introducing AI into everyday healthcare systems? Find out by clicking the link and reading what Nina had to say 👉 bit.ly/4daSECg. #AI4HealthCro #DigitalInnovation #Healthcare #intrview #AI

𝗔 𝗣𝗼𝘄𝗲𝗿𝗳𝘂𝗹 𝗣𝗮𝗿𝘁𝗻𝗲𝗿𝘀𝗵𝗶𝗽 𝗶𝗻 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲! Imagine this: You send a message to your doctor and get a fast, detailed, and empathetic response... not from the doctor, but from AI!!! We live in a time where AI is no longer just a buzzword—it’s a game-changer in healthcare. A new study from Stanford highlights the potential of AI-generated responses to enhance the patient experience. 𝗛𝗲𝗿𝗲 𝗮𝗿𝗲 𝘁𝗵𝗲 𝗸𝗲𝘆 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝘀: ✅ AI drives high patient satisfaction: AI responses scored an impressive 3.96 in satisfaction, reflecting its growing role in patient communication. ✅ A focus on efficiency: While longer clinician responses often correlated with higher satisfaction, AI is proving that response length isn’t the only factor—it’s about the quality of care. ✅ Empathy and information quality: AI is showing promise in delivering detailed, empathetic responses—particularly in specialties like cardiology and endocrinology. 𝗧𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲 𝗶𝘀 𝗮𝗹𝗹 𝗮𝗯𝗼𝘂𝘁 𝗰𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻 𝗯𝗲𝘁𝘄𝗲𝗲𝗻 𝗔𝗜 𝗮𝗻𝗱 𝗵𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗽𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹𝘀—𝗰𝗿𝗲𝗮𝘁𝗶𝗻𝗴 𝗺𝗼𝗿𝗲 𝘁𝗶𝗺𝗲 𝗳𝗼𝗿 𝗺𝗲𝗮𝗻𝗶𝗻𝗴𝗳𝘂𝗹 𝗽𝗮𝘁𝗶𝗲𝗻𝘁 𝗶𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝗼𝗻𝘀. #AI #HealthcareInnovation #PatientCare #FutureOfHealth #TechInMedicine #ReidHealth Drop your thoughts below! Let’s start a conversation.

What are your thoughts on Artificial Intelligence in Emergency Medicine? Take a look this article by my friend, Nupur Garg, MD. She discusses a case for more in two areas: 1. Error reduction, including parameters for trusting AI results 2. Scaling of physician work within 2 realms: patient care and research #innovation #AI #ArtificialIntelligence https://lnkd.in/eerAKdYv

🔮✨ Researchers from the University of California (UC) San Diego School of Medicine have found that an artificial intelligence (AI) model deployed in emergency departments to forecast patients’ sepsis risk has significantly reduced mortality, according to a study published last week in npj Digital Medicine. Sepsis is a major cause of morbidity and mortality in inpatient settings, and developing models to predict which patients are at risk of the infection has been a priority for medical researchers in recent years. Many of these models are driven by AI, which can ingest and analyze a large number of data points to inform predictions. #HealthTech #Innovation #AI #SepsisAwareness #MedicalResearch #UCSanDiego #PatientCare #HealthcareTechnology #ArtificialIntelligence #MedicalScience #MedicalBreakthrough #HealthcareInnovation #PatientSafety #ClinicalResearch #DigitalHealth #HealthcareAI #MedicalAdvancements #PatientHealth