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HYDROS™ Robotic System deep dive: FirstAssist AI™, built from a library of real-world Aquablation® therapy procedures, uses advanced image recognition software to identify critical anatomy on ultrasound & suggest optimal treatment plan for each patient

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PROCEPT BioRobotics

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It’s an honor to promote free education in Musculoskeletal Ultrasound (#MSUS) and Rheumatology. We are happy to share the MSUS Database: over 1,000 images and videos of sonoanatomy and pathology, accessible with a single click from anywhere in the world 🌍 🌎 , even where there’s no textbook, mentor, or ultrasound machine, so students, residents, and practicing physicians can learn and compare cases in real time. In the MSUS Database you will find: 1️⃣Shoulder Anatomy and Pathology 2️⃣Elbow Anatomy and Pathology 3️⃣Hand Anatomy and Pathology 4️⃣Hip Anatomy and Pathology 5️⃣Knee Anatomy and Pathology 6️⃣Foot Anatomy and Pathology 7️⃣Spine 8️⃣Soft Tissue 9️⃣Nerves 🔟Muscle 1️⃣1️⃣Interventional 1️⃣2️⃣Hyaluronic Acid 1️⃣3️⃣PRP 1️⃣4️⃣Doppler 1️⃣5️⃣Elastography 1️⃣6️⃣Trauma 1️⃣7️⃣Rheumatoid Arthritis 1️⃣8️⃣CPPD 1️⃣9️⃣And more… 📸 🎥 We’re expanding this library every week to its improvement! 🤝🌍 Special thanks to Giorgio Tamborrini of UZR Ultrasound Center (Sᴡɪss Uʟᴛʀᴀsᴏᴜɴᴅ Cᴇɴᴛᴇʀ - UZR) for conceiving and leading this project and inviting me to contribute. It’s also a privilege to collaborate with MSUS experts such as: 🔹Dr. Jörg Dünkel of Dr Jörg Dünkel 🔹Dr. Alberto Schek Dr. Alberto Schek 🔗 Explore & share: ❗️To find specific images or videos, go to the Photostream and use the 🔎 (magnifying glass) icon just below 👇 the “secondary menu”, or explore each album individually in its dedicated folder 📂 #MSUSDatabase #GlobalUltrasound #POCUS #FreeEducation #Rheumatology #MSUS #OpenEducation #FOAMed #USguidedInjections #PRP #SportsMed

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THIS GUY BUILT REAL FLYING SWORD DRONES AND CONTROLS THEM WITH HAND GESTURES fan shisan is a physics student in chengdu who coded and built flying drones shaped like actual swords he controls them entirely with hand gestures. no controller or a phone. just his hands wave your hand and the sword follows. point and it flies where you direct it. multiple swords in the air at the same time responding to different gestures he built the gesture recognition system HIMSELF and coded the flight control algorithms. designed the drone hardware in the shape of swords. the gesture tracking uses sensors that read the position and movement of his hands in real time and translate them into flight commands for each drone independently he even built one large enough to ride on a physics student with coding skills just brought something straight out of a kung fu movie into the real world the line between science fiction and side projects is getting thinner every month

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Louis Mosley

52,452 Aufrufe • vor 1 Jahr

A useful trick for making AI photos look 100% real: (it's not always the model — it can be the color grading) Out of the box, Nano Banana Pro can have a gray, flat look. Good composition, but these scream AI. Here's the system that fixes it: → Grab a reference photo from Pinterest with the exact aesthetic you want → Feed it to ChatGPT 5.2 with a prompt that extracts a detailed color grading JSON → Paste that JSON into image generator (Calico AI) → Generate your product photo. (the colors are now based on the reality you specify, not AI defaults) → Save that character as your reference for facial consistency across future shots From here you can build a full UGC model library. No creators. No shoots. Comment "IMAGE" if you want me to send you every prompt in this system (must be following so I can dm you!).
1:30

A useful trick for making AI photos look 100% real: (it's not always the model — it can be the color grading) Out of the box, Nano Banana Pro can have a gray, flat look. Good composition, but these scream AI. Here's the system that fixes it: → Grab a reference photo from Pinterest with the exact aesthetic you want → Feed it to ChatGPT 5.2 with a prompt that extracts a detailed color grading JSON → Paste that JSON into image generator (Calico AI) → Generate your product photo. (the colors are now based on the reality you specify, not AI defaults) → Save that character as your reference for facial consistency across future shots From here you can build a full UGC model library. No creators. No shoots. Comment "IMAGE" if you want me to send you every prompt in this system (must be following so I can dm you!).

David Roberts

21,112 Aufrufe • vor 6 Monaten

Microsoft's AI can now detect cancer from a $10 tissue sample. For context, every time tumor cells are tested, doctors create a basic microscope slide to study tissue up close. These slides show cell shapes and structures, but they can't reveal which immune cells are actually fighting the cancer. That deeper picture is critical for knowing if a patient will respond to immunotherapy... But the advanced imaging needed costs THOUSANDS. So Microsoft built GigaTIME -- an AI system that generates advanced imaging from the cheap slides hospitals already collect. The system was trained on 40 million cancer cells, then applied to over 14,000 patients across 51 hospitals spanning 24 cancer types. The AI found over 1,200 hidden connections between immune cell behavior and tumor growth that researchers couldn't find before... because the data simply didn't exist at this scale. When validated against 10,000 additional patients from a completely separate database, the results held up. The model is now open source, so any hospital worldwide can use it on samples they already have. I think this is one of the most impactful AI papers I've seen this year!
1:13

Microsoft's AI can now detect cancer from a $10 tissue sample. For context, every time tumor cells are tested, doctors create a basic microscope slide to study tissue up close. These slides show cell shapes and structures, but they can't reveal which immune cells are actually fighting the cancer. That deeper picture is critical for knowing if a patient will respond to immunotherapy... But the advanced imaging needed costs THOUSANDS. So Microsoft built GigaTIME -- an AI system that generates advanced imaging from the cheap slides hospitals already collect. The system was trained on 40 million cancer cells, then applied to over 14,000 patients across 51 hospitals spanning 24 cancer types. The AI found over 1,200 hidden connections between immune cell behavior and tumor growth that researchers couldn't find before... because the data simply didn't exist at this scale. When validated against 10,000 additional patients from a completely separate database, the results held up. The model is now open source, so any hospital worldwide can use it on samples they already have. I think this is one of the most impactful AI papers I've seen this year!

Rowan Cheung

43,245 Aufrufe • vor 4 Monaten