Jerry Petersen
Domain-specific generative artificial intelligence can benefit the healthcare sector, where it can function as an assistant to practitioners, facilitating better patient care by providing relevant medical information, according to Srini Iyer, vice president and chief technology officer of the health group at Leidos.
Iyer said in an interview with Healthcare IT News that, unlike generic AI models, healthcare-specific AI models can provide more accurate and relevant answers to medical queries because they are trained on medical data. This level of accuracy can potentially result in a faster diagnosis of a patient and superior treatment plans.
The Leidos VP added that domain-specific AI can also take over routinary functions, allowing healthcare professionals to focus on taking care of patients.
Iyer noted that, unlike traditional AI models, domain-specific AI models are more cost-effective and scalable because they require less data and training — making them a viable option for hospitals or health systems with fewer resources.
The Leidos executive also highlighted the fact that, at present, domain-specific generative AI make up only 1% of those used by enterprises. He expects that figure to rise to over 50% in the next few years.
