Dr. Harvey Castro, aka DR GPT™, on how patients will drive AI in medicine and why the biggest mistake is not trusting AI at the right level.
Dr. Harvey Castro, aka DR GPT™, on how patients will drive AI in medicine and why the biggest mistake is not trusting AI at the right level.
Read this week's On/Offcall weekly newsletter.
Discover Dr. Andrew Lundquist’s take on AI in healthcare and independent practice. Read his Offcall Physician Spotlight and reply directly to leave a note!
Primary care fills every gap between specialists by hand. Jefferson Health’s Dr. David Nichols on why primary care doctors should build AI, not just adopt it.
Four experts from eNavvi, Amazon Pharmacy, The Doctors Company, and Northeastern Law unpack who is liable when AI prescribes and why e-prescribing is still so broken.
ICU physician Dr. Rosy Thachil discusses clinical intuition, avoiding AI deskilling, healthcare's waste of human talent, and residency training shifts.
We asked Columbus doctors who they actually trust. Here are the incredible nominees.
Dr. Harvey Castro, aka DR GPT™, on how patients will drive AI in medicine and why the biggest mistake is not trusting AI at the right level.
Read this week's On/Offcall weekly newsletter.
Discover Dr. Andrew Lundquist’s take on AI in healthcare and independent practice. Read his Offcall Physician Spotlight and reply directly to leave a note!
Primary care fills every gap between specialists by hand. Jefferson Health’s Dr. David Nichols on why primary care doctors should build AI, not just adopt it.
We asked Columbus doctors who they actually trust. Here are the incredible nominees.
Read this week's On/Offcall weekly newsletter!
General practitioner Dr. Asim Khan discusses patient context, why doctors tolerate broken systems, and how technology should sharpens rather than replaces judgment.
Patients are trusting chatbots more and more every day. Vincent Joralemon discusses why that puts new legal pressure on the physician in the room.
Read this week's On/Offcall weekly newsletter.
Discover why 90% accuracy in AI agents leads to a 35% failure rate in clinical workflows, plus a decision framework for what medical tasks to automate.
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