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Tinglong Dai

@tinglongdai.com
58 followers 109 following 33 posts

Ferrari Professor of Business, JohnsHopkins; VP INFORMS ✍🏻 AI, Supply Chains, & Healthcare

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Scott McGrath @smcgrath.phd · 31/03/2026
Clinicians are caught in accountability ping-pong: blamed for over-relying on AI, but flagged for variation if they override it. There are hidden value tradeoffs baked into AI. Standardized Model cards are one possible solution. #MedSky
nature.com
Protecting clinical value judgment in the age of AI - npj Digital Medicine
Adaptive AI systems embedded in clinical decision-making workflows operationalize hidden value tradeoffs at scale, generating distinct liability pressures and constraining clinicians’ ability to…
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Reposted by Tinglong Dai
SSRN @ssrn.bsky.social · 12/01/2026
@tinglongdai.com @proflog.bsky.social @matthewwicker.bsky.social
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SSRN @ssrn.bsky.social · 12/01/2026
Check out the latest from the SSRN #blog with includes the top downloaded papers on #AI in Finance for Q4 2025. Read more: spkl.io/63328AWeMo #FinanceSky #AcademicChatter #Research
spkl.io
Top Papers on AI in Finance Q4 2025
This list includes the top downloaded papers on AI in Finance posted in Q1 2025. It also includes the Top 5 Organizations that downloaded the research during this period.
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Tinglong Dai @tinglongdai.com · 24/12/2025
Ambient AI scribes may be the biggest healthcare development of 2025. Even with no mandate and no reimbursement change. They spread because doctors are drowning in documentation. But while well-being gains are celebrated, a coding arms race is taking shape:
nature.com
Policy brief: ambient AI scribes and the coding arms race - npj Digital Medicine
Ambient AI “digital scribes” are rapidly moving into routine practice, easing documentation burden and physician burnout. Early evidence suggests these tools can increase billing and risk-adjustment c...
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Reposted by Tinglong Dai
Johns Hopkins Data Science and AI Institute @hopkinsdsai.bsky.social · 22/10/2025
Special thanks to our speakers: Natalia Trayanova @mdredze.bsky.social @alexisbattle.bsky.social @tinglongdai.com Haris Sair Alex Baras Rick Carrick Robert Stevens Ashley Kieman Agbessi Amouzou
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JAMA Health Forum @jamahealthforum.com · 28/08/2025
FDA-cleared #AI medical devices often experience recalls shortly after clearance, particularly those without clinical validation and produced by publicly traded companies. ja.ma/3UFrZqI
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Tinglong Dai @tinglongdai.com · 26/08/2025
Medical AI is as much about forgetting as it is about learning. Even if data are deleted, models can still remember what they learned. That’s why “machine unlearning” is emerging as a crucial frontier for privacy, regulation, and trust. New in Health Affairs: www.healthaffairs.org/content/fore...
healthaffairs.org
Unlearning In Medical AI: A New Frontier For Privacy, Regulation, And Trust | Health Affairs Forefront
Even if data are removed from a system, it’s possible that an AI model may still be retaining the ‘lessons’ it learned from training on that data in the past.
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Reposted by Tinglong Dai
JAMA Health Forum @jamahealthforum.com · 24/08/2025
FDA-cleared #AI medical devices often experience recalls shortly after clearance, particularly those without clinical validation and produced by publicly traded companies. ja.ma/4lFOjeA
Figure 2.  Recall Counts, Cause, and Affected Units by Commercialization Model
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Tinglong Dai @tinglongdai.com · 24/08/2025
In our new @jamahealthforum.com paper, we examined timing and drivers of FDA-cleared AI medical device recalls We show publicly traded companies’ products are far more likely to be recalled. Such recalls often occur within 1st year & with no human testing Read more: jamanetwork.com/journals/jam...
jamanetwork.com
Early Recalls and Clinical Validation Gaps in Artificial Intelligence–Enabled Medical Devices
This cross-sectional study examines whether lack of clinical validation and publicly traded manufacturer status were associated with recalls of artificial intelligence–enabled medical devices that had...
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Reposted by Tinglong Dai
Scott McGrath @smcgrath.phd · 19/08/2025
A study finds clinicians rate peers who use generative AI for primary decision-making lower in skill and competence. Framing AI as a verification tool partially mitigates this negative perception but does not eliminate it. #MedSky #MLSky #MedAI
nature.com
Peer perceptions of clinicians using generative AI in medical decision-making - npj Digital Medicine
npj Digital Medicine - Peer perceptions of clinicians using generative AI in medical decision-making
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Tinglong Dai @tinglongdai.com · 19/08/2025
Would you trust a doctor who uses ChatGPT during your visit? Today, we published a study in @natureportfolio.nature.com Digital Medicine — the first survey of practicing clinicians on how they view peers who use generative AI in medical decision-making. 🔗 nature.com/articles/s41...
nature.com
Peer perceptions of clinicians using generative AI in medical decision-making - npj Digital Medicine
npj Digital Medicine - Peer perceptions of clinicians using generative AI in medical decision-making
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Tinglong Dai @tinglongdai.com · 04/07/2025
With Mariana Socal of @johnshopkinssph.bsky.social & Maqbool Dada of Carey@jhu.edu, in Health Affairs Scholar @healthaffairs.bsky.social: “Prescription for made in America? Tariffs and U.S. drug manufacturing” url: academic.oup.com/healthaffair...
academic.oup.com
Prescription for made in America? Tariffs and U.S. drug manufacturing
Abstract. Tariffs on U.S. pharmaceutical imports have been recently proposed. This article examines the potential effects of tariffs on U.S. domestic drug
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Tinglong Dai @tinglongdai.com · 03/06/2025
Honored to lead an incredible team of @jhu.edu medical students on the first full look at how @fda.gov-cleared medical AI devices are developed and commercialized, now in @ai.nejm.org. We tracked 950 AI medical devices. The results may surprise you: bit.ly/fdaai25 (1/7)
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MedPage Today @medpagetoday.com · 14/04/2025
"It's not just about higher costs -- it's about readiness." -- @tinglongdai.com, of @jhu.edu, on the threat that tariffs pose to #publichealth preparedness. www.medpagetoday.com/special-repo...
medpagetoday.com
How Will Trump's Tariffs Impact Medicine and Healthcare?
It's a mess of confusion and angst, sources say
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Tinglong Dai @tinglongdai.com · 06/04/2025
1/5 Quoted in @nature.com on how Trump’s tariffs are hitting the supply chain for science: www.nature.com/articles/d41... via @celestebiever.bsky.social These tariffs influence all facets of global trade, affecting the U.S.'s role as a leading importer and exporter.​
nature.com
Tariffs hit science labs: Trump levies raise cost of supplies
Import taxes on staples such as microscopes, glassware and computer chips will affect institutions already feeling financial strain.
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Reposted by Tinglong Dai
celestebiever.bsky.social @celestebiever.bsky.social · 04/04/2025
Microscopes, test tubes and other research supplies are about to get more expensive thanks to Trump tariffs. “We're already doing quotes today that are 20% more than they were yesterday” www.nature.com/articles/d41... @nature.com @tinglongdai.bsky.social
nature.com
Tariffs hit science labs: Trump levies raise cost of supplies
Import taxes on staples such as microscopes, glassware and computer chips will affect institutions already feeling financial strain.
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Reposted by Tinglong Dai
Johns Hopkins Berman Institute of Bioethics @bermaninstitute.bsky.social · 31/03/2025
Trust in AI-assisted health systems and AI’s trust in humans - By Madeline Sagona, Tinglong Dai, Mario Macis & Michael Darden | npj Health Systems www.nature.com/articles/s44...
nature.com
Trust in AI-assisted health systems and AI’s trust in humans - npj Health Systems
npj Health Systems - Trust in AI-assisted health systems and AI’s trust in humans
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Climate, Ecology, War & More: Dr. Glen Barry BigEarthData.ai @bigearthdata.ai · 28/03/2025
Trust in AI-assisted health systems and AI's trust in humans ->Nature | #Health #AI | More info from EcoSearch
nature.com
Trust in AI-assisted health systems and AI's trust in humans
Trust in healthcare is shaped by interactions between key stakeholders. Its dynamics shift depending on the relationships at play—whether between patients and providers, providers and AI, patients and health systems, or providers and the institutions they serve (Fig. 1). We...
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Tinglong Dai @tinglongdai.com · 28/03/2025
1/ Can we trust AI to deliver health care? And can AI trust us? www.nature.com/articles/s44... So excited to share our new perspective in @natureportfolio.nature.com Digital Medicine, written with the brilliant Madeline Sagona, Mario Macis, & Michael Darden.
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