Fantastic work by PennSurgery PCASO Laboratory research fellow Vivek Singh & Measey scholar shubha (she/her)! Vivek presented his work on understanding patient perceptions of #AI in interventional #healthcare

Thrilled to announce the first annual Reinforcement Learning Conference RL_Conference, which will be held at UMass Amherst August 9-12! RLC is the first strongly peer-reviewed RL venue with proceedings, and our call for papers is now available: rl-conference.cc.

We’re still looking for annotators for cholecystectomy videos! Come be a part of our global initiative! Sign up: cvschallenge.org/annotation Med students and residents welcome! #medtwitter #sages #surgery #computervision #cvschallenge

New in Academic Medicine from PCASO Laboratory's Dan Hashimoto, MD MS & Measey scholar shubha (she/her): a review of #AI in #MedEd that highlights key challenges & important opportunities. journals.lww.com/academicmedici…

NIST is absolutely not playing around with its efforts to take on a bigger role in AI and just dropped a giant (106 pages, including footnotes, glossary, etc) report all about how people can get AI to do bad things (IE adversarial ML).

1/2 📣New #dataset announcement! #Endoscapes 2023 includes 201 laparoscopic videos annotated for scene segmentation, object detection, and critical view of safety assessment. arXiv: arxiv.org/abs/2312.12429 Code: github.com/CAMMA-public/E… #SurgicalDataScience #SurgicalAI

We made a free, open course on neuroscience for people with a machine learning / quantitative background. Get deep in computational neuroscience, or just indulge your neurocuriousity. I believe that neuro and ML can learn from each other and do better together than on their own.

🍻EXCITING DAY: Our Nature Methods sister publications on #MetricsReloaded are out🎉. Recommendations: rdcu.be/dysg5 Pitfalls: rdcu.be/dysgX Helmholtz Imaging MICCAI SIG for Challenges ProjectMONAI NCT Heidelberg DKFZ Important for the community: 1/

2 papers out Nature Methods on metrics for #AI image analysis including in surgical images w/ GRASP Laboratory PCASO Laboratory's Dan Hashimoto, MD MS as coauthor   nature.com/articles/s4159…   nature.com/articles/s4159…   #MetricsReloaded #surgicalAI

Our 12 scaling laws (for LLM knowledge capacity) are out: arxiv.org/abs/2404.05405. Took me 4mos to submit 50,000 jobs; took Meta 1mo for legal review; FAIR sponsored 4,200,000 GPU hrs. Hope this is a new direction to study scaling laws + help practitioners make informed decisions

.PennSurgery Penn Engineering students and researchers from PCASO Laboratory presented work at the 2nd annual Penn Medicine Naji Surgery Research Day! Great work spanning clinical outcomes in GI surgery, #computervision for thoracic surgery, digital literacy, & efficient algorithms

Our comprehensive review of #AI in surgery is just out Nature Medicine nature.com/articles/s4159… an inspiration and joy to work with super-talented Chris Varghese Greg O'Grady Prof Ewen Harrison on it Free access rdcu.be/dHL7g

Looking for a new paradigm for your next research project? Then look no further: nature.com/articles/s4156… (1/6)

1/ How are #ChatGPT and other #LLMs used in #Medicine? And what are the ethical implications? We say: It’s a social experiment unfolding right in front of us! Check out @robranisch ‘s and my new paper in npj Digital Medicine nature.com/articles/s4174… Let me give you a quick tour

Can you spot #AI generated surgical images? Surgeons please help us evaluate a novel surgical text-to-image gen model by completing a short survey 🧑‍⚕️👩‍⚕️ Survey 👉 t.ly/endogen ArXiv 👉 arxiv.org/abs/2407.09230 #SurgicalDataScience #GenAI #medtwitter #SoMe4Surgery

Come compete: cvs-challenge.grand-challenge.org! #miccai2024 MICCAI Dan Hashimoto, MD MS Pietro Mascagni Deepak Alapatt CAMMA

Quality of training data is known to dictate quality of #MachineLearning in healthcare. But what is data quality in this context? The METRIC-framework serves as a basis for systematically assessing medical training data as prerequisite for trustworthy ML. nature.com/articles/s4174…

New publication from PCASO Laboratory in Global Surgical Education Global Surgical Education where we discuss data quality, bias and uncertainty in surgical AI link.springer.com/10.1007/s44186… PennSurgery #surgicalAI #surgicaldatascience

More training data isn’t always better! We (joint work w.Deb Raji and Irene Chen) will present our new work: The Data Addition Dilemma, at MLHC 2024 this week! (1/5)