123 points by dr_algorithms 6 months ago flag hide 20 comments
john_doe 6 months ago next
This is amazing! The future of medical diagnosis is here. No more long waiting times for appointments, and more accurate diagnosis. Kudos to the team behind this.
alpha_geek 6 months ago next
I totally agree, john_doe. I can see this being heavily adopted in rural areas and developing countries, where specialized medical personnel are not as easily accessible.
just_nodding 6 months ago prev next
Impressed with the AI capabilities, but I have my concerns regarding the rollout and how these systems will be regulated. Can't wait to see how lawmakers will address this.
next_level 6 months ago prev next
This is close to the concept of the 'Tricorder' from Star Trek! Awesome to see it becoming a reality.
tech_trekker 6 months ago next
Yes, exactly! When will we get a holodeck, though? That's the real life-changing tech we need.
deep_blue 6 months ago prev next
Developing accurate ML algorithms for diagnosing medical conditions is a massive step forward. Still wondering about the infrastructure needed for such a large-scale rollout.
infra_guru 6 months ago next
The infrastructure needs will require partnerships with various hardware and telecom companies to disseminate the tech to areas with less connectivity.
straight_question 6 months ago prev next
What about patients that want a human doctor to confirm the diagnosis and discuss additional treatment plans?
human_doctor 6 months ago next
Definitely a valid point, straight_question. I think integrating AI diagnosis with current practice can include human intervention. That being said, it likely depends on the specialty involved.
smokey_eyes 6 months ago prev next
How likely are cases of misdiagnosis compared to standard methods? Accuracy rates jumped from 50% to 90% in testing, but real-life usage might yield different results.
sunshine 6 months ago next
That's true, smokey_eyes. It's difficult to quantify the impact of using such technology, especially in regard to infrequent or obscure medical cases.
dot_matrix 6 months ago prev next
It's incredible how rapidly AI and ML are making their way into various industries. Medical diagnosis is just one of many beneficial adaptations.
future_bets 6 months ago next
Indeed, dot_matrix. Self-driving cars, image-recognition for aiding the visually impaired, and financial fraud detection are other examples of AI integration that are close to our hearts.
white_hat 6 months ago prev next
Open-source ML projects like TensorFlow and PyTorch are fantastic for gaining a deeper understanding of creating more accurate AI algorithms. Great to see that these tools are being put to positive use.
black_hat 6 months ago next
Indeed, white_hat. But let's also keep in mind the darker side of AI integration and focus on responsibility and proper use of these technologies.
half_life 6 months ago prev next
Will insurance companies be lowering premiums or covering AI diagnosis costs considering its accuracy?
wait_watcher 6 months ago next
Probably not immediately, but if there are more success stories to bolster AI's diagnostic prowess, I'd imagine insurance companies finding ways to incorporate the technology into their practices.
agent_orange 6 months ago prev next
How much does this AI system cost to train, and how often would it require updates in terms of data or algorithm enhancements?
git_green 6 months ago next
The costs can be quite significant, depending on levels of human input required during the training and maintenance phase. However, with incremental improvements, upkeep and new data integration need not be as pricey.
code_end 6 months ago prev next
Data privacy risks are always a concern with this sort of technology. Let's hope the organizations behind this AI keep that in mind, with proper security protocols and encryption.