As artificial intelligence goes multimodal, medical applications multiply.

The advancement of artificial intelligence (AI), particularly multimodal AI, is revolutionizing medical applications according to an article published on Science. AI, with its “machine eyes” can accurately interpret medical images such as X-rays, CT scans, and pathology slides, often outperforming human experts and revealing insights beyond human perception, paving the way for multimodal AI.

This shift is driven by self-supervised and unsupervised learning, eliminating the need for data annotation.

While AI presents transformative potential in medicine, several challenges persist. These include overconfident responses, inherent biases, and the capacity to fabricate information. Concerns about data privacy and security are paramount.

Notably, the reliance unsupervised learning could lead to a degradation in the model performance over time. Additionally, the landscape for regulatory approval remains undefined, and there is noticeable resistance to change within the medical community.

At gMendel® we have developed a revolutionary AI cloud-based end-to-end solution for the detection & medical interpretation of genetic disorders & beyond. Our technology is simple, practical & cost effective, and has greater detection capabilities than the available technologies, with an ability to be extended, scaled & applied for the detection of multiple genetic disorders & beyond.

Furthermore, Zoran Velkoski, CTO added: “gMendel®️ is actively working to demonstrate the benefits of AI through evidence of scalability. gMendel is committed to achieving regulatory approvals, in line with the commitment to innovation and safety.”

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