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An AI-based healthcare language model launched by Google Research and DeepMind

(Image Credit Google)
According to reports, Google Research and DeepMind have unveiled MedPaLM, an AI-based healthcare platform. The goal of MedPaLM is to provide secure and beneficial medical-related responses. It combines HealthSearchQA with six currently available open-question datasets that include professional medical exams, consumer queries, and research.

How MedPaLM Works

MedPaLM can be used by both medical professionals and laypeople. The platform can answer multiple-choice questions by sending different datasets to users. These datasets are sourced from MMLU, LiveQA, MedicationQA, MedMCQA, PubMedQA, NedQA, and MedMCQA. A new dataset, called HealthSearchQA, was added, nevertheless, with the intention of enhancing MultiMedQA. [caption id="" align="aligncenter" width="870"]AI-Based Healthcare Language Model Image credit- MobileAppDaily[/caption] The new dataset includes 3,375 frequently requested consumer inquiries that were discovered through the analysis of linked symptoms and medical diagnoses. It was created using PaLM. Currently, MedPaLM asserts that it performs better than Flan-PaLM. The AI must still perform better than a medical expert's opinion, though. On the other hand, 92.6 percent of MedPaLM answers were comparable to those provided by clinicians. Surprisingly, compared to the 6.5 percent of answers provided by medical professionals and the 29.7 percent from Flan-PaLM, only 61.9 percent of long-form Flan-PaLM answers are judged to be accurate, while 5.8 of MedPaLM answers were said to have the potential to contribute to bad outcomes. Overall, it simply serves to demonstrate that MedPaLM provides safer solutions. It is a major matter to have an AI that can give safer responses since, especially in the realm of healthcare, even a small error could have serious repercussions. For instance, giving a chemotherapy patient the incorrect dose could be fatal. MedPaLM might be unable to respond to queries about more advanced medical conditions. The platform is still a work-in-progress, and scientists are always looking for ways to improve it. [caption id="" align="aligncenter" width="1280"]AI-Based Healthcare Language Model Image credit- YouTube[/caption] In the field of medicine, AI, especially machine learning (ML) and artificial intelligence (AI), can offer more accurate solutions. The field of computer science known as artificial intelligence, or AI, is concerned with making machines capable of carrying out tasks that are typically completed by people. Although the platforms powered by AI are still in their infancy, researchers are ensuring their success. The majority of experts, including those in the medical field, are happy about the move because AI has already been utilised to enhance the quality of healthcare. Additionally, it is anticipated that AI will hasten the creation of medical apps. Medical personnel can concentrate on providing actual medical care rather than just administrative tasks thanks to AI. AI is not yet flawless, though, as it still has the potential to give false results. But there is no denying that AI has greatly aided the medical industry.

By Monica Green

I am specialised in latest tech and tech discoveries.

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