Retinal Physician’s Post

The US healthcare computer vision market is set to grow from $2.5bn in 2024 to $9.9bn in 2034 with a key driver being diagnostic imaging. It seems the US government will be pushing hard for the introduction of AI across the healthcare system however recent surveys suggested 60% of Americans would "feel uncomfortable if their own healthcare provider relied on AI to do things like diagnose disease" so how realistic is that market growth 🤔

Come and Join us to explore the revolutionary role of Artificial Intelligence in medical imaging, dive into the impact of AI on patient care and discover how it is reshaping diagnostics and treatment plans in today's healthcare landscape. 🗓️ Dec 5 | 🕧 12:30 PM | 📍 C227

🚀 Paper Review: MedKlip - Enhancing X-ray Diagnosis with AI 🚀 I recently reviewed an exciting paper presented at ICCV 2023: MedKlip. This innovative work leverages AI to simplify medical report analysis and improve X-ray diagnosis. 🌟 🔍 Key Insights: Challenge: Understanding complex medical jargon and aligning it with X-ray images. Solution: Combining ResNet-50 for visual encoding, ClinicalBERT for text encoding, and a transformer-based fusion module. Impact: Achieves superior performance in identifying and localizing diseases compared to state-of-the-art models. 📊 Results: MedKlip significantly improves diagnostic accuracy on datasets like RSNA Pneumonia and ChestX-ray14, setting a new benchmark in medical imaging. For a detailed read, check out the paper review below. #AI #MachineLearning #MedicalImaging #HealthcareInnovation #ICCV2023

AI Segmentation has come a long way to reach where it is today. It accurately identifies and outlines anatomical structures and abnormalities within scans, enhancing diagnostic precision, reducing the workload for medical professionals, and enabling early detection and treatment of various conditions. #AISegmentation #HealthTech #MedicalImaging

Did you know that medical error is the 3rd leading cause of death in the USA and drug adverse effects are the 4th? In this session, Roland presents the Physicians’ Brain Digital Twin, a holistic biomedical #KnowledgeGraph in a Neo4j Database constructed by integrating 9 biomedical knowledge graphs. Find out how this Knowledge Graph works to achieve: 0️⃣ zero medical errors 0️⃣zero patient harms 0️⃣zero medical wastes 0️⃣zero medical abuses 0️⃣zero medical frauds. #TBT to a #NODES2023 presentation: https://lnkd.in/dUyBK6wh

"Did you know that artificial intelligence is making rapid advancements in medical diagnostics, contributing to more accurate and faster disease detection? It's incredible to see how data science and machine learning are revolutionizing the healthcare industry. This reminds us of the limitless potential of technology to positively impact lives! #AIInnovation #DataScience #MachineLearning #TechAdvancements #InspiringTechnology #HealthcareRevolution"

Pump the AI brakes. Data found in EHRs “are only as good as their curation and consistency,” the authors warned. Without clean and accurate information, in other words, even the most advanced algorithm will struggle to make accurate predictions. “AI/ML should augment and support clinical decision-making rather than replace clinical judgement needed for evidence-based practice. However, to realize this potential, AI/ML analytics must be presented to clinicians through intuitive and interpretable human-computer interfaces that enhance user trust and integrate with existing clinical workflows.” As an #icunurse I am interested in contributing to the design, integration, and usability testing of #ai enabled clinical tools at #mayoclinic. Ensuring AI tools are being designed and tested by an array of domain specific end-users including #criticalcare nurses and #alliedhealthprofessionals is vital to establishing trust. As any experienced healthcare professional will tell you, you must show how much you care before your patient cares how much you know…(except in a code, then they might prefer you know ACLS and CALS).

😮 Did you know that medical error is the 3rd leading cause of death in the USA and drug adverse effects are the 4th? In this #NODES2023 session, Roland Haas presents the Physicians’ Brain digital twin, a holistic biomedical #KnowledgeGraph in a Neo4j Database that integrates 9 biomedical knowledge graphs. Find out how this Knowledge Graph works to achieve: 0️⃣zero medical errors 0️⃣zero patient harms 0️⃣zero medical wastes 0️⃣zero medical abuses 0️⃣zero medical frauds. #TBT to an awesome presentation: https://bit.ly/3xK5pVP Psst: You can Save the date for #NODES2024 and watch mindblowing presentations like this one here: https://bit.ly/3xVlyYj

Enhancing Obstetric Ultrasonography With Artificial Intelligence in Resource-Limited Settings | JAMA: Machine learning algorithms make predictions based on patterns in prior data. Models are created by identifying patterns in “training data” and are ... http://dlvr.it/TBMdnQ