How will AI change health care in 2025?

To answer this question, I of course asked different AIs what the answer would be. Their responses: ChatGPT. In 2025, AI will significantly enhance healthcare by improving diagnostic accuracy, such as detecting early-stage cancers through tools like AI-enhanced mammograms and identifying retinal diseases via AI-analyzed optical scans. Personalized medicine will advance as AI tools like…

When should we trust AI more than physicians?

The time may be fast approaching. A paper by Goh et al. 2024 sampled 50 physicians and examined which was better: physicians alone, physicians with access to GPT-4, or GPT-4 alone. The primary outcome was how well each group diagnosed the case (i.e., diagnostic reasoning score). The authors found that: The median diagnostic reasoning score…

AI and optimal insulin dosing

Can voice-based AI help patients with diabetes move more quickly towards optimal insulin dosing? According to a Nayak et al. (2023) study out today in JAMA Network Open, the answer is yes. Question  Can a voice-based conversational artificial intelligence (AI) application help patients with type 2 diabetes titrate basal insulin at home to achieve rapid…

AMA Survey on Telehealth

The American Medical Association surveyed its members between November and December of 2021 to examine their current use of telehealth. As outliend in the “2021 Telehealth Survey Report“, the key findings of the survey were: Uptake. 85% of physician use telehealth. 56% of respondents said they believe they will increase telehealth use in their practices.…

How will telehealth impact health equity?

Will telehealth widen or reduce health disparities? Telehealth may make it easier for individuals who lack transportation to get access to medical care; on the other hand, those without high-speed internet or good cell phone connections could be disadvantaged. In a recent report, NCQA examined the future of telehealth and examined how to make sure…

How often do clinicians use computerized clinical decision support systems?

That is the question Kouri et al. (2022) aim to answer. They conduct a systematic literature review and meta-analysis and find: …overall [computerized clinical decision support systems] CDSS uptake was 34.2% (95% CI 23.2 to 47.1%). Uptake was only reported in 12.4% of studies that otherwise met inclusion criteria. Multivariable meta-regression revealed the following factors…