Google Research and DeepMind recently introduced MultiMedQA, an open-sourced large language model for medical purposes. The model also incorporates methodology for evaluating human model responses along several axes, including factuality, precision, potential harm, and bias.
MultiMedQA provides datasets for multiple-choice questions, and for longer responses to questions posed by medical professionals, and non-professionals. These comprise the clinical topics datasets for MedQA, MedMCQA, PubMedQA, LiveQA, MedicationQA, and MMLU. In addition, a new dataset of curated, frequently searched medical inquiries called HealthSearchQA was added to improve MultiMedQA.
It combines HealthSearchQA, a new free-response dataset of medical questions sought online, with six existing open-question answering datasets covering professional medical exams, research, and consumer queries. The HealthsearchQA dataset consists of 3375 frequently-asked consumer questions and was curated using seed medical diagnoses and their related symptoms.
In its Google for India 2022 event, the company announced a collaboration with Apollo Hospitals in India to improve the use of deep learning models in x-rays and other diagnostic purposes. Google’s other health partnerships include Aravind Eye Care System, Ascension, Mayo Clinic, Rajavithi Hospital, Northwestern Medicine, Sankara Nethralaya, and Stanford Medicine, among others.
See What’s Next in Tech With the Fast Forward Newsletter
Tweets From @varindiamag
Nothing to see here - yet
When they Tweet, their Tweets will show up here.
