On a mission to make US healthcare more accessible and efficient for Americans. doctronic.ai

Joined August 2023
302 Photos and videos
Pinned Tweet
Five months ago, Utah became the first state to authorize an AI system to process prescription renewals. The state government built oversight around the program and committed to publishing what it found.
1
5
901
You've probably been there. Something feels off. You call to make an appointment. The earliest opening is a month away. So you wait. Or you spiral through Google. Or you just hope it resolves on its own.
2
1
173
A 2025 AMN Healthcare survey found the average wait time for a new doctor is now 31 days. That number has real consequences for real families. Doctronic doesn't replace your doctor. But when the answer can't wait 31 days, it makes sure you're not left without one. HIPAA-secure. Anonymous. Free to start. Available right now: doctronic.ai #Doctronic #AIDoctor #HealthcareAccess #FamilyHealth #DigitalHealth #AIHealthcare _ Source: amnhealthcare.com/amn-insigh…

132
Doctronic retweeted
A lot of people have asked why we agreed to a preemptive Series B only a few months after our Series A was preempted. The answer starts with @AbstractVC. @RamtinNaimi has built a remarkable track record by recognizing exceptional companies before consensus forms around them. That's impressive (and fun to be in that cohort), but what really stood out was the speed with which he understood the company we are actually building. Many people see Doctronic as a "medical intelligence", a "clinical skill", or an "AI doctor". Ramtin immediately focused on the larger opportunity: building the first complete clinical access layer for healthcare. As he put it in our Series B announcement coverage: "What sets them apart is the courage to take responsibility for outcomes, not just provide information." That observation resonates with me because it captures something fundamental about our mission. Information is abundant. Responsibility is rare. Ramtin understands our company deeply, so the partnership was an easy decision.
2
41
277
19,903
Diabetic retinopathy is one of the leading causes of preventable blindness among working-age adults. Most cases are caught late, not because the tools don't exist, but because patients never complete screening or reach eye care in time.
1
2
2
445
In 2018, the FDA cleared the first autonomous AI system for diabetic eye screening. It moved into primary care offices. No ophthalmologist required for every image review. Patients who need a referral get one. Patients who don't come back next year. That's what access-first AI looks like. The bottleneck in healthcare is rarely knowledge. It's getting the right patient to the right care at the right time. That's the problem Doctronic was built to solve. AI that meets patients where they are, processes clinical information, and gets more people in front of the care they actually need. Source: Current Opinion in Ophthalmology, Nov 2024 journals.lww.com/co-ophthalm… #AIHealthcare #Doctronic #PreventiveCare #ClinicalAI #HealthcareAccess #DigitalHealth
165
Someone nearby could collapse from cardiac arrest today. And one of the biggest reasons people hesitate to help isn’t because they don’t care. It’s because they’re afraid. “I’m not trained enough.” “What if I do it wrong?” “What if I make things worse?” But here’s what many people don’t know: You don’t need to be certified to perform Hands-Only CPR. If someone is unresponsive and not breathing normally: Call 911. Push hard and fast in the center of the chest until help arrives. Those first few minutes matter. More than 350,000 out-of-hospital cardiac arrests happen in the U.S. every year, yet only about 40% receive bystander CPR before emergency responders arrive. The gap isn’t just about access to care. Sometimes, it starts with knowing what to do. Better health starts with a better understanding.
1
5,473
1 in 3 adults now use AI for health questions. The question isn't whether people will turn to technology, it’s whether the technology they're turning to was built for it.
1
1
266
Most AIs have no clinical training, HIPAA framework, or physician oversight. Just a language model pattern-matching on information that was never validated for medical accuracy. Doctronic was built specifically for health. Medically-focused AI, HIPAA-secure by design, with licensed physician oversight built into the system. The trust gap isn't between patients and AI. It's between the AI people are using and the AI that was actually built for them. doctronic.ai #AIHealthcare #Doctronic #AIDoctor #MedicalAI #DigitalHealth

1
197
Doctronic retweeted
I'm surprised more people in health tech don't know about the @CMSinnovates ACCESS Model. It's the second biggest story in the field this year. With ACCESS a company that helps manage a Medicare patient's chronic condition gets paid for outcomes (roughly a few hundred dollars in the first year depending on the condition). Smartly, a good chunk of the payment is withheld until improvement is shown, so (for example) @Doctronic earns the held-back portion only if enough patients hit their targets: blood pressure to goal, A1c down, etc. As a member of the launch cohort, we're really excited about this. Rewarding continuous, AI-led care only when patients actually get better is the right design. techcrunch.com/2026/05/12/me… milliman.com/en/insight/cmmi…
5
40
212
11,149
Did you know the NBA Finals schedule was moved this year, in part because of player health?
1
2
34,264
The league built in extra rest between games and added travel buffers when the series shifts cities. Players and coaches have been vocal about how much flying across time zones wears the body down. It disrupts sleep, slows thinking, and increases the risk of injury. These are the best-conditioned athletes in the world, and the league still felt it mattered enough to restructure its biggest event around it. Most of us are running on less sleep, more stress, and fewer recovery days than we realize. Our bodies keep score. If you have been feeling more fatigued than usual or something just feels off, our AI doctor can help you figure out what is worth checking. Free, private, and no appointment needed. Bookmark doctronic.ai for when you need it. Sources: whoop.com/us/en/thelocker/ef… | wishtv.com/sports/indiana-pa… #Doctronic #AIDoctor #NBAFinals #Sleep #Fatigue #Health

208
Last month, the NBA lost one of its most courageous figures to glioblastoma. The diagnosis entered public awareness a few months ago. He was 47.
1
2
65,802
Glioblastoma is grade IV, the most aggressive brain tumor classification. It accounts for roughly 15% of all primary brain tumors. Median survival after diagnosis is 14 to 16 months with standard treatment. The journey from diagnosis to the end of life is often measured in months, not years. Most families learn what this disease is at the worst possible moment, when someone they love is already sitting in a neurologist's office. The window between diagnosis and critical decision-making is narrow. Access to clear, accurate, plain-language information in those first weeks is not a luxury. It's crucial. This is the gap Doctronic exists to fill. 27 million consults. No appointment. No wait. Our condolences to those grieving this loss. Source: espn.com/nba/story/_/id/4875… #Doctronic #AIDoctor #Glioblastoma #BrainCancer #PatientAccess #HealthEquity
368
More than 18 million Americans are living in survivorship. And for many, one of the hardest chapters begins after treatment ends. Today is National Cancer Survivors Day.
1
1
87,677
The last appointment ends, but the questions and symptoms don’t. The uncertainty definitely doesn’t. New research published in JCO Clinical Cancer Informatics shows that machine learning models that use patient-reported outcomes and clinical records can help identify survivors at higher risk of ER visits, hospitalizations, and worsening symptom burden. The goal, in the words of senior author Frank J. Penedo, Ph.D., of Sylvester Comprehensive Cancer Center, is to “identify patients who are more likely to struggle” so care teams can “align supportive resources earlier and more effectively.” Proactive. Not reactive. That same principle guides how we think about access at Doctronic. 27M consultations. No appointment. No wait. Research-backed health answers when questions come up. Survivorship shouldn’t mean navigating uncertainty alone. Study: newswise.com/articles/study-… Full write-up: news.med.miami.edu/ai-cancer… #NationalCancerSurvivorsDay #CancerSurvivorship #AIHealthcare #DigitalHealth #Doctronic #AIDoctor
133
Most people don't bring up gut symptoms until something forces them to. It's not that they don't notice. It's that talking about it feels uncomfortable. So they wait. They hope it resolves on its own. Months pass.
1
2
321
Chronic diarrhea is one of the most underreported conditions in healthcare, with many people avoiding treatment until symptoms become serious, even though it can signal underlying conditions like ulcerative colitis or irritable bowel syndrome. Today is World Digestive Health Day. This year's campaign has a message worth sharing: chronic diarrhea deserves attention, not embarrassment. Know what your body is trying to tell you. If you've been putting off a conversation about gut symptoms, Doctronic makes it easier. It's free, anonymous, no appointment needed, and no one is in the room with you. Ask what you haven't been able to say out loud. doctronic.ai

1
281
Five months ago, Utah became the first state to authorize an AI system to process prescription renewals. The state government built oversight around the program and committed to publishing what it found.
1
5
901
This week, Utah's Office of AI Policy released early data from Phase 1 of the pilot. Every AI recommendation in this phase required physician approval before anything reached a pharmacy. No exceptions. What the data shows: → Physicians agreed with the AI's renewal recommendations 91% of the time. When a second physician reviewed cases of disagreement, the combined agreement reached 97%. → In 28% of cases, the AI escalated to a physician rather than recommending renewal. In 69% of those escalations, reviewers confirmed the caution was appropriate. For a system in its first phase, that's the guardrails working as intended. No adverse events or contraindicated prescriptions were identified. The Phase 1 review data comes from our own physician team. Utah's Office of AI Policy recognized that and has obtained anonymized session data for review by outside experts, who will both verify the reported outcomes and identify where the pilot can improve. That structure, oversight built into the design from the start, is how trust gets built in this space. None of this is a final verdict. The sample is limited. Phase 1 is designed to be conservative. Experts interviewed by STAT and Endpoints News have noted the right questions to ask as the pilot continues, and we welcome that rigor. What it does show is that a constrained, physician-supervised AI system can process prescription renewals safely, and that a state can build meaningful oversight around it in real time. Thank you to Zachary Boyd and the Utah Office of AI Policy for the partnership and for making this data public. ___ Full report: commerce.utah.gov/wp-content… Coverage from Endpoints News: endpoints.news/how-utahs-ai-… Coverage from STAT: statnews.com/2026/05/26/utah… #AIinHealthcare #DigitalHealth #AIDoctor #Doctronic

1
161
Doctronic retweeted
Really enjoyed reading "Rethinking clinical trials for medical AI with dynamic deployments of adaptive systems" in npj Digital Medicine from @_JacobRosenthal, Ashley Beecy & @mertrory at Weill Cornell. Agree that medical AI needs dynamic deployment to catch drift, distribution shift, and performance degradation. Their framework maps to how we already think about this @Doctronic. As projects evolve from agentic flows to agentic harnesses, the case gets stronger: imagine a trusted website hijacked to inject dangerous data into an LLM in real time. The more insidious version: inject briefly, revert to clean data, repeat (making detection far harder). The authors' continuous monitoring principle extends naturally to this: it's what surfaces that pattern. And at high autonomy (Level 4 CAL), that same continuous algorithmic supervision can ensure safety. nature.com/articles/s41746-0…
3
25
248
21,231