individual will have all their own medical data and the computing power to process it in the context of their own world.” The American Medical Associa-
tion (AMA) reports that in a single year, between 2023 to 2024, the percentage of physicians using AI jumped 68%. Over two-thirds of physicians
today use AI in some form to help them manage records, diagnose diseases, and treat their patients. In July, President Donald
Trump announced his administration’s launch of a new “digital health tech ecosystem” to lower costs and improve care. “For decades, America’s healthcare networks
have been overdue for a high-tech upgrade,” Trump said. “The existing systems are often slow, costly, and incompatible with one another.” The digital health initiative anticipates sev-
eral AI-related features, including: Innovative partnerships with AI-empowered
tech giants like Apple, Google, Amazon, An- thropic, and OpenAI. Development of patient-friendly, symptom- checking systems powered by conversational AI chatbots. Creation of personalized, digital health tools
to shift Medicare’s emphasis more toward pre- vention and chronic disease management. But before doctors and patients can truly em-
brace the brave new world of AI-powered medi- cine, a demon inside the AI machine must first be vanquished. That’s because several high-pro- file AI systems have recently experienced embar- rassing examples of blatant bias and even whole- sale fabrications. Dr. Chauncey Crandall, author of MAHA —
Make America Healthy Again: A Blueprint for a Thriving Nation and a board-certified cardiolo- gist and director of the Palm Beach Clinic of Preventive Medicine and Cardiology in West Palm Beach, Florida, says one patient recently
“ I have found it frequently leading me down a wrong path or quoting studies that sound great — except they don’t exist.” — Dr. David Brownstein
came into his office with a lesion that appeared noncancerous. Crandall was not quite certain, however, so he
took a picture and uploaded it to Chat- GPT. A few seconds later, ChatGPT con-
curred with his diagnosis. His patient did not have cancer. “It confirmed what I was thinking,
and I was pretty excited that it came back with true results,” he says. But as Crandall has witnessed him- self, sometimes AI goes haywire. “A physician who is well trained,”
Crandall says, “can read through a lot of this stuff and make sense when may- be AI is reporting false information. “I have seen that,” he adds. “Infor-
mation will come back and it’s incor- rect or false, so you have to look at it broadly.” Many medical practitioners, includ-
ing Newsmax contributor Dr. David Brownstein, handle AI circumspectly. “There’s nothing like experience for
BROWNSTEIN
a physician,” says Brownstein. “Drawing upon that experience will beat AI every time in my book. “Now, can AI be useful for physicians? Abso- lutely, and I utilize it. But, I do double-check
AI Beats Doctors in Skin Cancer Detection
M
elanoma is notoriously dificult to diagnose just by looking at images. It’s also one of the deadliest.
Each year, about 100,000 U.S. patients are diagnosed with melanoma. Approximately 9,000 will die from it. But when melanoma is caught early on, it’s 95% curable. Now it appears machine intelligence could
revolutionize skin cancer treatment. Way back in 2019 — a long time ago in
the world of artificial intelligence (AI) development — 157 dermatologists were asked to review 100 high-resolution images of skin lesions to decide which anomalies were cancerous. Their diagnoses were then compared
to those of a convolutional neural network — a form of AI adept at image recognition and processing. According to the European Journal of
Cancer, at the end of the day AI proved better than flesh-and-blood doctors at diagnosing skin cancer in 136 out of 157 cases — that is, about 87% of the time. — D.P.
NOVEMBER 2025 | NEWSMAX 49
CRANDALL
SKIN/URBAZON©ISTOCK
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