AI surpasses lawyers and doctors in certain tasks, study finds

Harvard’s AI-clinician “diagnosis duel” successfully handled a rare sarcoidosis case, demonstrating the diagnostic speed of AI. For doctors and nurses, augmented intelligence allows for more focus on empathy and trust. The connection nurses have with patients can flourish with the support of AI. It is essential to have transparent, clinician-led integration that patients can trust. Together, we can shape AI to enhance the quality of care. #healthcareAI #augmentedintelligence

Patients respond positively to the use of AI in healthcare, as evidenced by this large multinational study. Given the potential benefits of AI in both diagnosis and treatment, such as personalized care and proactive treatments, this result is unsurprising. However, it is crucial to educate more people about the potential benefits of AI and explain the safeguards in place to protect them from any harm. https://lnkd.in/gE3wrHvJ

🚀 The European Commission has just unveiled its new Apply AI Strategy, aiming to accelerate the adoption of artificial intelligence across key industries and the public sector, including healthcare. This marks a pivotal moment for clinical innovation and regulatory alignment in Europe. Read it here: https://lnkd.in/dbBuh9Qr 🔍 At the European Association of Urology (EAU), we are proud to be at the forefront of this transformation. Our newly launched AI Working Group is already engaging with the pressing questions: ❓ How can AI enhance diagnostic accuracy and procedural precision in urology? ❓What safeguards are needed to ensure real-time decision support tools align with clinical realities? ❓How do we ensure clinicians, especially surgeons, have a voice in shaping AI regulation? 🤝 As members of the Biomedical Alliance in Europe AI Working Group, the EAU Policy Office is actively contributing to cross-specialty discussions on regulatory clarity, clinical integration, and post-market surveillance. 📢 The AI Act is already in force, with high-risk medical applications expected to apply from 2026. But key questions remain: 🗝️ What constitutes sufficient clinical evidence? 🗝️How will liability and adverse event reporting be handled? 🗝️Who defines the standards, and are clinicians at the table? 💡 Urologists are already exploring AI for predictive modelling, complex data interpretation, and treatment personalisation. The time to shape policy is now. Let’s ensure AI in healthcare is safe, effective, and clinically meaningful. The EAU is ready to lead. EAU UroEvidenceHub European Society of Paediatric Gastroenterology, Hepatology and Nutrition (ESPGHAN) European Society of Cardiology European Renal Association (ERA) European Society of Pathology European Society of Radiology ESHG European Society of Human Genetics EACTS - European Association for Cardio-Thoracic Surgery EUROPEAN ASSOCIATION FOR THE STUDY OF THE LIVER #Urology #ArtificialIntelligence #AIAct #DigitalOmnibus #EAUPolicy #BioMedAlliance #HealthTech #ClinicalInnovation #MedicalDevices #EURegulation #EUHealth

AI has already changed the way we think about medicine. Helping doctors with diagnoses through drug discovery, the potential is gigantic. Check out this article from Microsoft Signal — wild to see how quickly things are moving and how AI could make healthcare way more personalized and effective. Curious what you all think: in 5–10 years, is AI going to be more of a support tool for doctors, or will it completely change the game? #AI #Healthcare #Innovation #Microsoft

Using clinician/patient interactions to train healthcare #AI models? Read this article for additional insight on how the healthcare sector is doing this today.

Agree: “The promise lies in multimodal systems that integrate diverse data sources.” #AI #medicalAI #healthtech #tech #LLM #genAI #generativeAI #model #models

How AI is quietly rewriting the rules of modern medicine. In the podcast series “The AI Revolution in Medicine, Revisited,” Microsoft Research President Peter Lee sits down with experts across health and life sciences to explore all the ways AI is changing the game. Lee and his guests walk through how AI can make simple improvements to clinical experiences today, like taking notes during doctor visits, helping patients take a more active role in their care and even accelerating development of new drugs. Here are some of the key takeaways from Lee and his guests about how AI is changing healthcare. 1️⃣ AI can help strengthen the human connection between doctors and their patients. 2️⃣ AI can catch mistakes. 3️⃣ AI could increase access to healthcare in underserved regions. 4️⃣ AI could start to blur boundaries between medical fields. 5️⃣ AI is accelerating drug development. To learn more, read our blog: https://lnkd.in/g2Jb3Trq #Microsoft #Healthcare #AI

Can We Trust AI in Medicine? A New Study Offers a Way Forward Artificial Intelligence is transforming healthcare — from reading scans to supporting complex diagnoses. But one question keeps coming up: Can clinicians truly trust AI? Our latest study, published in MDPI Diagnostics, tackles this challenge head-on. We developed a dynamic framework that helps clinicians decide when to trust or override an AI-generated diagnosis. Using over 6,600 real cardiovascular cases, we found that by combining: AI confidence calibration (how sure the model is), Transparency (how clearly it explains its reasoning), and Semantic similarity (how close its diagnosis is to the clinician’s), we could dramatically reduce clinician overrides — from 87% down to 33%. When the AI’s confidence and transparency were both high, clinicians overrode its suggestions only 1.7% of the time. In plain terms: when AI explains itself clearly and knows its limits, doctors trust it more. This framework is a small but crucial step toward trustworthy, explainable AI in healthcare — one that respects clinical judgment while making decision support more reliable, auditable, and safe for patients. 👉 Read the full open-access paper here: https://lnkd.in/e_uiCSKh #AITrust #HealthcareAI #ExplainableAI #MedicalAI #Transparency #AIinHealthcare #Diagnostics #ClinicianTrust

We’re using GPT models more and more in medicine — from education and research to clinical decision support. But as these systems become part of how we practice medicine, we need to ask: what’s at stake for patient safety and responsible AI? In our new NatureMedicine article, “The Fragile Intelligence of GPT-5 in Medicine,” we look at how progress in fluency and reasoning can mask persistent weaknesses — confident hallucinations, disappearing safety disclaimers, and even biosecurity concerns. The takeaway? Fluency is not the same as understanding. To protect patients, we need stronger safeguards — independent testing, secure deployment, and clear accountability when AI enters the clinic. Rebecca Handler, MSc Sonali Sharma Stanford University School of Medicine Stanford Department of Medicine #AIMed #ResponsibleAI #PatientSafety #HealthAI #NatureMedicine #AIEthics #LLMs https://lnkd.in/giKmd7Hc