Sign in

Tinglong Dai

@tinglongdai.com
58 followers 109 following 33 posts

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

PostsRepliesMedia
Reposted by Tinglong Dai
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…
041
Reposted by Tinglong Dai
SSRN @ssrn.bsky.social · 12/01/2026
@tinglongdai.com @proflog.bsky.social @matthewwicker.bsky.social
011
Reposted by Tinglong Dai
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.
111
Tinglong Dai @tinglongdai.com · 24/12/2025
With Dr. Joseph Kvedar and Dr. Daniel Polsky, we published “Policy brief: ambient AI scribes and the coding arms race” in @natureportfolio.nature.com Digital Medicine on early signals scribes can raise coding intensity: www.nature.com/articles/s41...
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...
000
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...
100
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
021
Reposted by Tinglong Dai
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
011
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.
000
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
041
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...
001
Tinglong Dai @tinglongdai.com · 20/08/2025
Thank you for spotlighting our study!
010
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
241
Tinglong Dai @tinglongdai.com · 19/08/2025
Read the full study (open access): 🔗 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
031
Tinglong Dai @tinglongdai.com · 19/08/2025
Grateful to work with a dream team: Drs. Haiyang Yang, Risa Wolf, Nestoras Mathioudakis, & Amy Knight @jhu.edu @hopkinsmedicine.bsky.social plus Dr. Yuna Nakayasu, my former MBA/MPH student @johnshopkinssph.bsky.social @jhu.edu, now of McKinsey
110
Tinglong Dai @tinglongdai.com · 19/08/2025
Yet, clinicians also saw promise: Belief that GenAI improves accuracy: 4.30 Institution-customized GenAI viewed even more favorably: 4.96 (7-point scale)
110
Tinglong Dai @tinglongdai.com · 19/08/2025
Ratings of the care experience also dropped — from 4.48 ⭐️ to 3.08 ⭐️ (5-star scale). Framing GenAI as a verification tool helped (clinical skill 4.99, competence 4.94), but the gap remained.
100
Tinglong Dai @tinglongdai.com · 19/08/2025
The numbers are striking. In our randomized experiment of 276 clinicians, a physician who used GenAI as a decision aid tool was rated far lower: Clinical skill: 3.79 vs 5.93 Overall competence: 3.71 vs 5.99 (7-point scale)
100
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
243
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
000
Tinglong Dai @tinglongdai.com · 03/06/2025
Medical AI is racing ahead; @fda.gov S_FDA oversight must keep pace. Read the full @ai.nejm.org study here ➡️ bit.ly/fdaai25
bit.ly
Development and Commercialization Pathways of AI Medical Devices in the United States: Implications for Safety and Regulatory Oversight
The landscape of U.S. Food and Drug Administration–regulated artificial intelligence–enabled medical devices (AIMDs) has expanded rapidly, with clearances and authorizations increasing, on average,...
000
Tinglong Dai @tinglongdai.com · 03/06/2025
Grateful to Branden Lee, Shivam Patel, CrystalFavorito, Sara Sandri, and Maria Rain Jennings, first- and second-year @jhu.edu medical students already shaping medical AI. Thanks also to Drs Charlotte Haug and Isaac Kohane of @ai.nejm.org for thoughtful guidance. (6/7)
100
Tinglong Dai @tinglongdai.com · 03/06/2025
Safety gap @fda.gov-cleared AI devices from publicly traded firms are recalled far more often: up to 30 × compared with those from private firms (14.4% vs 1.3% of cleared devices) Development and commercialization models corrects with patient risk and should guide oversight. (5/7)
100
Tinglong Dai @tinglongdai.com · 03/06/2025
Tech under the hood Deep learning now powers half of new @fda.gov-cleared devices. Transparency is improving, yet 62% of all devices still give little or no detail about how their AI works. (4/7)
110
Tinglong Dai @tinglongdai.com · 03/06/2025
AI Clearance curve Average @fda.gov clearances jumped from 1.4 devices per year in 1995-2014 to 146 per year in 2020-24—a 100-fold surge. Total count went from 27 in the first 20 years to 729 in the last five. In-house development drives nearly all growth. (3/7)
100
Tinglong Dai @tinglongdai.com · 03/06/2025
Who is building what? 69% of @fda.gov-cleared AI device manufacturers are private, but public firms make more devices per company. General Radiology leads with 32%, followed by cardiovascular (18%) and neuropsychiatry (15%). A booming yet scattered market. (2/7)
100
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)
111
Reposted by Tinglong Dai
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
132
Tinglong Dai @tinglongdai.com · 06/04/2025
5/5 As a top exporter leading in diagnostic and lab reagents, a prolonged trade war could render the global scientific supply chain more fragile, costly, and unreliable.​ We may be at the onset of a tariff-induced chaos period.​
000
Tinglong Dai @tinglongdai.com · 06/04/2025
4/5 The U.S. imports billions in lab equipment and reagents annually; many now face 10–54% tariffs.​ Even U.S.-built DNA sequencers may rely on German optics or Chinese semiconductors.​ High-end tools like precision microscopes aren't produced domestically.​
100
Tinglong Dai @tinglongdai.com · 06/04/2025
As I told @celestebiever.bsky.social of @nature.com, “These aren’t luxury items. They’re the core infrastructure of modern science.”
110
Tinglong Dai @tinglongdai.com · 06/04/2025
2/5 These tariffs hit essentials—from basic labware to advanced instruments—just as research institutions face severe financial strain. NIH funding is down 60% in Q1, and indirect cost recovery is under fire. This isn’t belt-tightening; it could be a breaking point.
100
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.
110
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.
012
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
043
Reposted by Tinglong Dai
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...
031
Tinglong Dai @tinglongdai.com · 28/03/2025
nature.com
000
Tinglong Dai @tinglongdai.com · 28/03/2025
8/ Trust is the glue holding this evolving system together. We offer a simple framework to help researchers and practitioners think more clearly about what trust really means in an AI-enabled health care world. Read the full-text PDF: www.nature.com/articles/s44...
100
Tinglong Dai @tinglongdai.com · 28/03/2025
7/ But here's the twist: Even AI has to “trust” us—in a way. Trust in our data. Trust in our design choices. Trust in the oversight and governance we put in place.
100
Tinglong Dai @tinglongdai.com · 28/03/2025
6/ Now enter AI, and the web of trust becomes even more complex. Patients need to trust that their doctors are using AI wisely. Doctors need to trust that AI supports—not replaces—their judgment. And both must trust the system that’s deploying these tools.
100
Tinglong Dai @tinglongdai.com · 28/03/2025
5/ For patients, trust means being willing to accept vulnerability in exchange for care. For providers, it enables confident decision-making—often in high-stakes or uncertain situations. For institutions, it’s foundational to building long-term relationships with the communities they serve.
100
Tinglong Dai @tinglongdai.com · 28/03/2025
4/ At its core, trust is about navigating uncertainty. It’s about being vulnerable—relying on others with the hope that they’ll act competently and in good faith. In the paper, we unpack that idea across different levels.
100
Tinglong Dai @tinglongdai.com · 28/03/2025
3/ So we asked: Trust by whom? In whom? And for what? What does trust really mean in the context of AI in health care?
100
Tinglong Dai @tinglongdai.com · 28/03/2025
2/ The idea came from a pattern we kept noticing: Every panel on AI and health care ends up turning into a conversation about trust. But “trust” gets thrown around a lot—without much clarity.
100
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.
110