Unbiased Analysis of Today's Healthcare Issues
Here they are: Human-centric by design. The development and use of AI technologies align with ethical and human-centric values. Risk-based approach. The development and use of AI technologies follow a risk-based approach with proportionate validation, risk mitigation, and oversight based on the context of use and determined model risk. Adherence to standards. AI technologies adhere…
The Economist reports that many life science companies are betting big on AI to help with drug development. Why? If AI can increase their likelihood new molecules become successful drugs, the cost of drug development will fall. AI-designed molecules show an 80-90% success rate in early-stage safety trials, compared with a historical average of just…
Today’s AI is not truly agentic because it’s not truly independent of you. The current crop of agents can’t set complex goals, or properly verify outputs. You have to spend a lot of effort on prompting, verifying, and system integrating. That just means the smarter you are, the smarter the AI is. It’s really amplified…
A paper by Daniotti et al. (2025) examines 80 million GitHub commits (2018–2024). The authors trained neural classifier to spot AI-generated Python functions in the GitHub code. As one can see below, nearly 1/3 of code in the US is being written by AI as of the end of 2024. US: 30.1% Germany: 24.3% France:…
Health economics and outcomes research has already started to use AI tools such as large language models (LLM) across a diverse set of study types, including systematic literature reviews (SLR), health economic modelling (HEM) and real-world evidence (RWE). In SLRs, LLMs can assist with abstract and full-text screening, bias assessment, data extraction, and automating meta-analysis…
The answer to this question depends, not only on how well AI tools work, but also on how AI technologies are regulated by the FDA. Scott Gottlieb has some thoughts on preferred regulatory approaches in his recent article in JAMA Health Forum. Artificial intelligence tools with advanced analytical capabilities used in clinical practice, especially tools…
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…
It looks like the answer is ‘yes’. KFF reports that Holden Karau, a software engineer from the San Francisco Bay Area, created an AI tool to help appeal insurance denials. She calls it: Fight Health Insurance, How does it work? You’ve gotta make a scan of the denial letter from your insurance company, and run…
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…
People won’t be surprised to learn that AI could improve the accuracy of diagnosis, expedite the rates of drug discovery, or even replace some (or many) activities typically done by doctors. However, can AI save the health care system money? That is the question asked by a recent article in The Economist titled “Can artificial…