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

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 FACS 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 FACS 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)

Finally found time to update my webpage with more details on our recent open-source dataset releases: a relabeled version of MedQA and a differential diagnosis dataset in dermatology. Great examples of dealing with rater disagreement for evaluating AIs: davidstutz.de/wMDSi

Happy holidays from the PCASO Lab team! Thanks to everyone who made it to breakfast and missing those already out of town!

How do we judge the viscosity of materials? It turns out it depends not only on how they move, but also on how they look. Our latest work with the incredible Jeffrey Martin out now royalsocietypublishing.org/doi/10.1098/rs…

Congrats to PennSurgery GRASP Laboratory PCASO Laboratory postdoc Guiqiu on his #WACV2025 presentation on weakly supervised learning for surgical video analysis! Great collaboration w/ LifelongML Coauthors in lab include Matjaž Jogan Sai Koushik