For generations, the best teachers, the best doctors, and the best opportunities have been limited by zip code, income, and luck. AI changes that. It takes what was once reserved for the few and puts it within everyone's reach.
Quality that once depended on living near a major hospital is becoming something every American can count on. Better diagnoses, earlier warnings, fewer mistakes. Care that works for the farmer in Iowa as well as the executive in Manhattan.
The student in a rural town or an underfunded school who never had a tutor now has a tutor for the first time; available at midnight, never out of patience, meeting them exactly where they are. That's not a luxury anymore. It's a birthright. This isn't about replacing the classroom. It's about giving students a resource many have never had: personalized, on-demand support that meets them where they are.
The same AI driving demand for power is accelerating the search for cleaner ways to produce it. AI is helping researchers discover new materials for batteries, advanced nuclear, and carbon capture, compressing what once took decades into a few years. In one case, Shell used AI to screen 112 million molecules in a single month. Data centers help solve the very challenges surrounding them.
Freedom 7 doesn't want AI to overtake American workers. We want to make sure they're better off because of it.
AI is already improving healthcare. It's taking accurate care notes, shortening the path from question to answer, and allowing physicians to spend more time doing what only they can do: care for more patients and make more medical advancements, faster.
AI also helps reduce clinician burnout, enabling providers to remain in practice longer with higher satisfaction rates.
Two arenas where AI is already changing lives for Americans everywhere.
AI is not here to replace clinicians, but to enhance their expertise and support them by easing documentation and other time-consuming responsibilities, allowing them to spend more time where it matters most: at the bedside, delivering high-quality, face-to-face, patient-centered care.
The rate of burnout amongst our clinicians is alarming. The challenge is clinicians believe too much of their time is spent on administrative work and too little is spent with their patients, and in return patients feel the squeeze of less and less time with their providers. AI is finally providing a real solution to this problem through recently FDA-authorized AI-enabled medical devices. AI-supported tools are already showing measurable improvements in healthcare delivery by reducing wait times and in rural-health initiatives, helping clinicians perform procedures and bring services closer to patients.
See the results & testimonialsHealthcare shouldn't depend on your zip code, your insurance, or your luck. It should just work, for everyone. AI can reduce the divide between urban and rural healthcare by providing access to the same advanced diagnostic and workflow tools previously only available in leading hospital centers, while reducing the administrative burden that gets between a clinician and their patient. It can also help bridge the gap for access to expert-level healthcare by extending clinical expertise to more patients, regardless of where they live.
This is not speculative. It is happening in American hospitals and community imaging centers right now. The FDA has authorized roughly 1,450 AI-enabled medical devices. These are cleared, regulated tools already in clinical use. Earlier detection, more consistent insights, and greater confidence in clinical decision-making are supporting the family physician caring for a farmer in Iowa just as it supports the specialist treating an executive in Manhattan.
AI can also greatly expand access to clinical trials by continuously analyzing a patient's longitudinal records to identify who is eligible and match them with research opportunities regardless of where they live. AI-powered recruitment, along with decentralized clinical trial platforms and remote patient monitoring (RPM), means that a lot of the study activities can be done closer to home via virtual visits, connected devices, electronic consent, and secure data collection, instead of having patients travel to major academic medical centers in urban areas.
AI's role in enhancing healthcare isn't limited to hospitals and doctors offices. It's now starting at home. AI-based wearable devices are alerting patients to symptoms faster. Thanks to biometric tracking and machine learning, patients are now aware of unusual sleep patterns, irregular heartbeats, and other occurrences that may otherwise go unnoticed.
According to a 2024 review in the Annual Review of Medicine, modern wearables have demonstrated the ability to help detect or monitor cardiac arrhythmias, Lyme disease, systemic inflammation, and other physiological abnormalities before they become clinically apparent.
During the COVID-19 pandemic, AI-powered wearables detected COVID-19 nearly 3 days before PCR testing.[NIH]
In a meta-analysis of 11.4+ million participants, wearable devices and AI-machine learning algorithms surpassed traditional cardiovascular risk assessment methods, significantly enhancing diagnostic accuracy for conditions such as cardiac arrhythmias. These digital interventions reduced mortality by 38%.[Science Direct]
Consumer smartwatches specifically have been proven to detect abnormal heart rhythms with over 90% accuracy.[NIH]
At a time when approximately 80% of obstructive sleep apnea cases go undiagnosed, wearable AI systems achieved high overall accuracy for sleep apnea detection across 38 studies.[NIH]
Caretakers of elderly parents now have insight and visibility into their loved ones' vitals and health, with notifications and alerts of a fall, lowering glucose levels, and more.
Breakthroughs once thought to be generations away—from cures for cancer to advances in genomic medicine to treat historically underfunded diseases such as sickle cell disease and lupus—are emerging faster than at any point in history. By harnessing AI to analyze vast amounts of genetic, clinical, and molecular data, researchers are accelerating discovery, enabling more personalized therapies, and compressing decades of research into just a few years.
AI is accelerating selected stages of drug discovery, including protein-structure prediction, analysis of complex biological data, and the identification and optimization of promising drug candidates. By using emerging AI tools, drug discovery teams can better understand relationships among molecular sequence, structure, and function while screening large numbers of potential drug candidates. These break-through advances could help shorten early discovery timelines for diseases and bring life-changing drugs more quickly to every American patient that needs them, regardless of where they live.
The evidence is already in. Across randomized trials and multi-site studies, AI-assisted screening and detection are catching cancers, strokes, and heart conditions earlier — and saving lives across the country.
Explore the life-saving stats