1、1Generative AI for HealthIN LOW&MIDDLE INCOME COUNTRIES2TABLE OF CONTENTSKey definitions Executive summaryIntroduction Scoping analysis Survey results Framework to guide the use of GenAI for LMIC healthcareKey principlesKey risks Key recommendationsCase Studies in Health-Related Behavioral ChangeJac

2、aranda Health:PROMPTsViamo:Ask Viamo Anything(AVA)Girl EffectAudere:Self-Care From AnywhereNoora HealthConclusionsAcknowledgementsResearch TeamCase study teams,interviewees,workshop&roundtable participantsAppendixReferences3481015181821232932353740434648484950513KEY DEFINITIONSLow-and middle-income

3、countries(LMICs):As classified by the World Bank Atlas method using gross national income(GNI)per capita.3Generative artificial intelligence(GenAI):computational techniques capable of generating seemingly new,meaningful content such as text,images,or audio from training data.1Large language model(LL

4、M):A a type of GenAI system trained on large amounts of text data,that understands and generates human-like language.2 Human-in-the-loop(HITL):Cause of human interaction or intervention to control or change the outcome of a process.5Retrieval-Augmented Generation(RAG):A technique for enhancing the a

5、ccuracy of LLM outputs by retrieving relevant information from specific external sources to supplement the models training data.6Tokens:The basic units of text processed by a language model.Depending on tokenization strategy,a token may comprise a phrase,a word,part of a word,or a character.Language

6、 models break down text into tokens to analyze and generate responses.The number of tokens used in a query affects processing time,cost,and the amount of information the model can consider at once.7Application Programming Interface(API):A set of rules and tools that allows different software applica