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AI predicts equipment failures, saving energy & $$$ while extending lifespan! #Sustainability #AIinHealthcare #MedTech #RadAIchat

AI: The can be a game-changer for sustainable radiology. Optimizing energy use, minimizing radiation exposure, enhancing efficiency, and reducing redundant paperwork. #AI #Radiology #Sustainability #RadAIchat

Medical AI: a double-edged sword for the environment. While it improves healthcare, complex models & more procedures raise concerns about its ecological footprint. #AI #Sustainability #RadAIchat

As AI tackles tougher tasks, its energy demands grow. Integrating it into workflows & performing more procedures adds to the carbon footprint. #MedicalAI #ClimateChange #RadAIchat

Gauging AI's impact on Radiology's green score: Energy consumption & CO2 emission. How much energy does AI use & how much CO2 does it produce? These metrics help assess cost-effectiveness more clearly. #AI #Radiology #Sustainability #RadAIchat thelancet.com/journals/landi…

AI can help eliminate unnecessary scans, reducing duplication & wasted resources? This metric ensures efficient use of imaging techniques & minimizes environmental impact. #SmartScanning #AIforGood #RadAIchat

Gauge AI's green impact in #Radiology: Track energy use, CO2 emissions, radiation doses, waste & redundant exams. Encourage research to report these #SustainabilityMetrics #RadAIchat #AI #HealthcareInnovation 🩻

Greener Radiology = Smarter AI! Invest in data-efficient models that learn more with less. Fewer data = less energy footprint! #SustainableAI #Radiology #RadAIchat Example in pathology: thelancet.com/journals/landi…

Measure what matters: Encourage researchers to track & report #SustainabilityMetrics alongside their AI research. #Transparency is key! #RadAIchat #AIforGood #RadAIchat

Powering progress sustainably: Choose energy-efficient hardware like next-gen GPUs for your AI solutions. Every watt saved counts! #GreenTech #HealthcareInnovation #RadAIchat An extrapolation can be found here: thelancet.com/journals/landi…

Bigger isn't always better: Optimize AI models for accuracy, not just size. Complex models demand more power = higher footprint. #SustainableAI #Radiology #RadAIchat ♻️ See Figure 4: thelancet.com/journals/landi…

Collaboration & open source! Partner with AI developers who prioritize sustainability in their solutions. Please try to share (anonymized) data and trained models! Together, we can make a difference! #OpenInnovation #AIforFuture #RadAIchat

Model & data pruning, -omics can trim unnecessary info, reducing energy use & CO2 emissions in radiology. Leaner AI, greener future! #SustainableAI #RadAIchat #AIforGood 🩻⚡️ Example: thelancet.com/journals/landi…

This study provides a platform to track the CO2 emission of your AI training/inference. #RadAIchat arxiv.org/abs/2002.05651

IMO, physics aware AI is the next big step. These models will upgrade the textual embedded space in LLMs to real objects.

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PHS 597: LLM for Healthcare (1 Credit) PHS 597-03 (31091) Aug. 26– Dec. 13; Thursdays, 12:00 p.m. – 1:00 p.m. in ASB, Room 2102; Instructors: Alireza Vafaei Sadr, PhD & Vida Abedi, PhD

Great day for the team Jennifer K. Wagner Ramin Zand Alireza Vafaei Sadr theDecodeLab presenting the results of our pilot #CTSI grant Penn State Hershey

My thoughts on China, export controls and two possible futures darioamodei.com/on-deepseek-an…

Today is the start of a new era of natively multimodal AI innovation. Today, we’re introducing the first Llama 4 models: Llama 4 Scout and Llama 4 Maverick — our most advanced models yet and the best in their class for multimodality. Llama 4 Scout • 17B-active-parameter model