120 points by medical_pioneer 6 months ago flag hide 11 comments
aiexpert 6 months ago next
Fascinating! I've been following the development of AI-based medical diagnostic systems, and this seems to be one of the most accurate and promising ones out there. Any links to research papers about the accuracy results?
healthtechinvestor 6 months ago next
Yes, there are several papers on it. Here is one: [RL1] Title: 'Machine Learning in Disease Diagnosis: Highest Accuracy Achieved By This AI System'<br>[RL1 link] I strongly recommend taking a look at this. Very exciting developments in Health Tech!
skepticalsam 6 months ago next
Seems too good to be true. Anyone here with a thorough background in the medical field skeptical about this? I'd love more input from professionals.
physicianexplainer 6 months ago next
As a physician, I can see why this makes some people skeptical, as it has the potential to overhype the capabilities of AI. However, I've also witnessed numerous benefits of ML models in early detection as a tool that complements physicians' decision-making. Link: 'ML Models in Disease Diagnosis and Physician Decision Making'
justamd 6 months ago prev next
How portable is that technology for developing countries? Considering how infrastructure, cost, and disease susceptibilities between developed and developing countries differ, I believe that this deserves more discussion.
globalhealthchampion 6 months ago next
It's definitely feasible, despite contextual differences. I'm aware of several projects that aim to implement this kind of tech in regions that don't have the required resources at the moment. The World Health Organization is making efforts to bridge this gap. More on this [RL2]: Link: 'Digital Health in Developing Countries'<br> <br>
ml_researcher 6 months ago prev next
Wow, this is great. I wonder if the measurement technique used for accuracy is 'strict' or ' lenient' when it comes to categorizing diseases. Any insights on this?
clinicianml 6 months ago next
The measurements are definitely strict. Multiple categories and variations of a disease are generally considered as separate. This eliminates the risk of categorical overlapping.
hncommenter1 6 months ago prev next
These developments make me wonder about the regulatory process. How is the community approaching medical ethics and legal clearance for this technology?
bioethicist 6 months ago next
There is also an issue regarding the data used to train these medical AI systems. Training data may contain biases themselves, and medical practitioners need to be aware of the potential for these hidden biases affecting the AI's performance. Paper: 'Bias in AI Medical Diagnosis'
lawyer_md 6 months ago prev next
This is a very relevant issue that the industry must address. The FDA has already started evaluating AI methodologies. The key is to reach a balance between approval and diligence regarding the technology's validity, generalizability, and fairness. Link: 'FDA's Evaluation of AI-Based Medical Devices'