GoKawiil
Tech News
New research reports that colorectal cancer diagnosed in people aged 20 and under tends to be more aggressive and is often caught later than in adults. The findings indicate these pediatric and adolescent cases may represent a biologically distinct form of the disease rather than simply an early-onset version of adult colorectal cancer.
A commentary highlights how families affected by rare or genetic diseases often endure months or years of appointments, tests and referrals before receiving a diagnosis. It argues that once clinicians obtain a clear diagnosis, they can tailor treatment approaches and connect patients with appropriate specialists and resources.
A writer recounts their son's diagnosis at 18 with a disease typically seen in patients in their late sixties, describing how the experience reshaped their view of AI's role in medicine. The essay argues that despite growing public backlash against AI, the technology holds promise for personalizing healthcare, especially for patients whose conditions don't fit standard patterns.
A blog post recounts Warren Zevon's October 2002 appearance on The Late Show with David Letterman, made while Zevon was living with terminal cancer. The writer highlights Zevon's remark to Letterman about needing to 'enjoy every sandwich' and describes rediscovering the clip years later via a YouTube recommendation while eating a sandwich during a travel layover.
AI-powered dermatology tools designed to identify skin conditions like melanoma are becoming more accurate overall, but researchers have found these systems perform less reliably for patients with darker skin. The disparity stems largely from training datasets that contain far fewer images of skin conditions on non-white patients.
A new JAMA article co-authored by oncologist Ezekiel Emanuel and venture capitalist Vinod Khosla argues that autonomous AI systems are approaching, or have already reached, the point where they outperform both human physicians and doctor-AI hybrid teams on core clinical tasks. Those tasks include taking patient histories, diagnosing illness, choosing tests, prescribing treatment, and managing chronic disease. The authors claim that human oversight can actually degrade AI's performance rather than improve it, based on their review of AI medical research published since January 2024.