Official Twitter feed for ADAM - a multi-organizational alliance leading the role of Monash Uni and itโ€™s partners in DH. Retweets / likes are NOT endorsement.

Joined November 2017
Alliance for Digital health At Monash (ADAM) retweeted
How is AI reshaping radiology? A recent STAT article explores how practices are integrating AI to address growing demand, workforce shortages, administrative work, and what it takes to demonstrate clinical benefit. ๐Ÿ”— bit.ly/47E1cBv #StanfordAIMI #Radiology
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Alliance for Digital health At Monash (ADAM) retweeted
AI messages can sound like a doctor but may not be as useful. A UCLA study found text-similarity scores missed quality differences in independently written replies. Human review is still important when evaluating AI. @KhaliliJosh nature.com/articles/s41746-0โ€ฆ
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Alliance for Digital health At Monash (ADAM) retweeted
About 90% of mammograms can be read by AI as normal without a physician overread. Radiologists focus on the rest, and agreement between readers goes up. @DBatesSafety on a case where AI made the whole process work better. Full episode ๐Ÿ‘‡
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Alliance for Digital health At Monash (ADAM) retweeted
The KCDH Digest is here! | Volume 3, Issue 2 Five years of KCDH: A milestone worth reflecting on, and a future full of possibilities. ๐Ÿ‘‰ Click here to read the latest issue of the KCDH Digest: kcdh.iitb.ac.in/site/newsletโ€ฆ (1/5)
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Alliance for Digital health At Monash (ADAM) retweeted
Adoption Strategies and Workarounds in the Evolution of Information Infrastructures Integrating Health and Social Care Providers in Scotland: Multimethod Qualitative Case Study of the Key Information Summary. ift.tt/3xC2KIH
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Alliance for Digital health At Monash (ADAM) retweeted
GenAI brings real opportunities for better diagnosis and therapy. But it is now being recognised that the power of these systems for good is inseparable from their power to be used for harm. nature.com/articles/s41746-0โ€ฆ
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Alliance for Digital health At Monash (ADAM) retweeted
Global CEO Conclave War Room 1 | The AI Revolution โ€” Transformational or Continuous: How Healthcare Needs to Be Prepared At War Room 1 of the Global CEO Conclave 2026, hosted at IIM Jammu in collaboration with CAHO - Consortium of Accredited Healthcare Organizations, (1/8)
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Alliance for Digital health At Monash (ADAM) retweeted
1/4 Generative AI is already changing how people seek mental health support. What must policymakers do next? On 13 October, I delivered the keynote at the Prague Forum on AI and Mental Health, at Liechtenstein Palace.
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Alliance for Digital health At Monash (ADAM) retweeted
In 100% agreement Exercise should be a prescribed New @JACCJournals @ACCinTouch scientific statement jacc.org/doi/10.1016/j.jacc.โ€ฆ
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Alliance for Digital health At Monash (ADAM) retweeted
Among US #clinicians, use of an #AI-enabled clinical information platform increased substantially over 2.5 years, with sustained use across #physician and nonphysician groups. Queries most often focused on #treatment and #management rather than #diagnosis, indicating that these tools are being used primarily to support #clinical decision-making at the point of care. ja.ma/4Ba9ej2
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Alliance for Digital health At Monash (ADAM) retweeted
AI governance also depends on whether the workforce understands AI. Sonali Tamhankar of @fredhutch is sharing results from an "AI: A-to-Z" literacy course. #AppliedAISummit
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Alliance for Digital health At Monash (ADAM) retweeted
On the uncertainties of AI in health care including implementation and need for post-deployment assessment Over 800 public healthcare systems have deployed China's DeepSeek model @NatureMedicine nature.com/articles/s41591-0โ€ฆ
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Alliance for Digital health At Monash (ADAM) retweeted
We just had a great conversation with Dr. Nigam Shah about Stanford's experience implementing large language models directly into their electronic medical record. You can watch the conversation below! cassyni.com/events/FXDprRt7Cโ€ฆ
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Alliance for Digital health At Monash (ADAM) retweeted
The invisible health risks of AI, and how to address them nature.com/articles/s44360-0โ€ฆ
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Alliance for Digital health At Monash (ADAM) retweeted
#SyntheticData #MedicalAI In this narrative, we detail an approach to adopting Synthetic Data in medical AI and propose a seven-dimensional validation scorecard: pfmjournal.org/journal/view.โ€ฆ
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Alliance for Digital health At Monash (ADAM) retweeted
On October 22, a one-day workshop runs John Snow Labs' medical language models on live clinical tasks, from PHI removal across text, FHIR, PDF, and DICOM to entity resolution against SNOMED CT,ย RxNorm, LOINC, and ICD-10 Register: hubs.li/Q04zfwd70 #MedicalLLMs #HealthcareAI
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Alliance for Digital health At Monash (ADAM) retweeted
๐ŸŒ๐— ๐—ฒ๐—ฑ๐—ถ๐—ฐ๐—ฎ๐—น ๐—”๐—œ ๐˜€๐—ต๐—ผ๐˜‚๐—น๐—ฑ ๐—ฏ๐—ฒ ๐—ฒ๐˜ƒ๐—ฎ๐—น๐˜‚๐—ฎ๐˜๐—ฒ๐—ฑ ๐—ถ๐—ป ๐˜๐—ต๐—ฒ ๐—น๐—ฎ๐—ป๐—ด๐˜‚๐—ฎ๐—ด๐—ฒ๐˜€, ๐—ฐ๐—ผ๐—บ๐—บ๐˜‚๐—ป๐—ถ๐˜๐—ถ๐—ฒ๐˜€ ๐—ฎ๐—ป๐—ฑ ๐—ต๐—ฒ๐—ฎ๐—น๐˜๐—ต ๐˜€๐˜†๐˜€๐˜๐—ฒ๐—บ๐˜€ ๐˜„๐—ต๐—ฒ๐—ฟ๐—ฒ ๐—ถ๐˜ ๐˜„๐—ถ๐—น๐—น ๐—ฎ๐—ฐ๐˜๐˜‚๐—ฎ๐—น๐—น๐˜† ๐—ฏ๐—ฒ ๐˜‚๐˜€๐—ฒ๐—ฑ. Delighted to announce the launch of #MAGIC (๐— ๐—ฒ๐—ฑ๐—ถ๐—ฐ๐—ฎ๐—น ๐—”๐—œ ๐—š๐—น๐—ผ๐—ฏ๐—ฎ๐—น ๐—œ๐—ป๐—ถ๐˜๐—ถ๐—ฎ๐˜๐—ถ๐˜ƒ๐—ฒ ๐—ฎ๐—ป๐—ฑ ๐—–๐—ผ๐—น๐—น๐—ฎ๐—ฏ๐—ผ๐—ฟ๐—ฎ๐˜๐—ถ๐—ผ๐—ป) introduced in our new @NaturePortfolio @NatureMedicine correspondence. ๐Ÿ“œMAGIC paper: nature.com/articles/s41591-0โ€ฆ ๐Ÿ”—MAGIC website: magic-ai.health/ MAGIC brings together clinicians, AI researchers, policymakers, industry stakeholders and local experts to address a critical question: does strong benchmark performance translate into safe, useful support across diverse healthcare settings? Our initial priorities are: โœ… A global health LLM evaluation benchmark addressing multilingual coverage, regional disease burden and sociocultural adaptability. โœ… A global deployment reporting standard clarifying intended use, target users, healthcare settings, and performance and safety across populations. Thank you to our colleagues #worldwide for helping launch the network. ๐—ข๐˜‚๐—ฟ ๐—ด๐—ผ๐—ฎ๐—น ๐—ถ๐˜€ ๐˜๐—ผ ๐˜‚๐—ป๐—ฑ๐—ฒ๐—ฟ๐˜€๐˜๐—ฎ๐—ป๐—ฑ ๐˜„๐—ต๐—ฒ๐—ฟ๐—ฒ ๐—บ๐—ฒ๐—ฑ๐—ถ๐—ฐ๐—ฎ๐—น ๐—”๐—œ ๐˜„๐—ผ๐—ฟ๐—ธ๐˜€, ๐—ณ๐—ผ๐—ฟ ๐˜„๐—ต๐—ผ๐—บ, ๐—ฎ๐—ป๐—ฑ ๐˜‚๐—ป๐—ฑ๐—ฒ๐—ฟ ๐˜„๐—ต๐—ฎ๐˜ ๐—ฐ๐—ผ๐—ป๐—ฑ๐—ถ๐˜๐—ถ๐—ผ๐—ป๐˜€. #MAGIC #MedicalAI #AI #LLM #GlobalHealth #ResponsibleAI #HealthEquity #DukeNUS @dukenus
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