AI healthcare is about to reach a turning point. Based on the current development speed, ordinary people will be able to enjoy the quality of medical services that only top wealthy individuals could access in just a few years.
This is not an exaggeration. Industry giants have recently launched two open-source AI models in the medical field—MedGemma 1.5 and MedASR—demonstrating this possibility directly.
The upgrade of MedGemma 1.5 is particularly crucial, with significant improvements in multimodal processing capabilities. What is the most practical aspect? Medical imaging.
In the past, AI couldn't analyze 3D medical images, but now it can. The three-dimensional data from CT and MRI scans can be understood by the model. What does this mean? The diagnostic pressure on doctors is directly reduced by an order of magnitude.
There is also the processing of whole-slide pathology images (WSI)—previously, it required manual examination of each slide, but now AI can analyze multiple patches simultaneously, doubling efficiency. The widespread adoption of such technology will ultimately break down regional and economic barriers to medical resources. With AI, there is diagnosis and treatment—this is true medical democratization.
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AI healthcare is about to reach a turning point. Based on the current development speed, ordinary people will be able to enjoy the quality of medical services that only top wealthy individuals could access in just a few years.
This is not an exaggeration. Industry giants have recently launched two open-source AI models in the medical field—MedGemma 1.5 and MedASR—demonstrating this possibility directly.
The upgrade of MedGemma 1.5 is particularly crucial, with significant improvements in multimodal processing capabilities. What is the most practical aspect? Medical imaging.
In the past, AI couldn't analyze 3D medical images, but now it can. The three-dimensional data from CT and MRI scans can be understood by the model. What does this mean? The diagnostic pressure on doctors is directly reduced by an order of magnitude.
There is also the processing of whole-slide pathology images (WSI)—previously, it required manual examination of each slide, but now AI can analyze multiple patches simultaneously, doubling efficiency. The widespread adoption of such technology will ultimately break down regional and economic barriers to medical resources. With AI, there is diagnosis and treatment—this is true medical democratization.