Fetching the paper…
Reading the bibliography…
Conversational Health Agents (CHAs) are interactive systems that provide healthcare services, such as assistance and diagnosis.
Perceiving, anticipating, and imagining
Neisser U · 1978
Earlier work this paper cites.
A comparison of text retrieval models
Turtle HR, Croft WB · 1992
Earlier work this paper cites.
The challenge of complexity in health care
Plsek PE, Greenhalgh T · 2001
Earlier work this paper cites.
Folk computing: Designing technology to support face-to-face community building [Ph.D. thesis]
Borovoy RD · 2002
Earlier work this paper cites.
Folk computing
Jain R · 2003
Earlier work this paper cites.
Complexity and health–yesterday’s traditions, tomorrow’s future
Sturmberg JP, Martin CM · 2009
Earlier work this paper cites.
Information retrieval models
Hiemstra D · 2009
Earlier work this paper cites.
mHealth technologies for chronic diseases and elders: a systematic review
Chiarini G, Ray P, Akter S, Masella C, Ganz A · 2013
Earlier work this paper cites.
A survey of privacy preserving data publishing using generalization and suppression
Xu Y, Ma T, Tang M, Tian W · 2014
Earlier work this paper cites.
Health information needs, sources, and barriers of primary care patients to achieve patient-centered care: A literature review
Clarke MA, Moore JL, Steege LM, Koopman RJ, Belden JL, Canfield SM, et al · 2016
Earlier work this paper cites.
A Survey on Trend, Opportunities and Challenges of mHealth Apps
Jusoh S · 2017
Earlier work this paper cites.
An overview of heart rate variability metrics and norms
Shaffer F, Ginsberg JP · 2017
Earlier work this paper cites.
Conversational agents in healthcare: a systematic review
Laranjo L, Dunn AG, Tong HL, Kocaballi AB, Chen J, Bashir R, et al · 2018
Earlier work this paper cites.
FeelFit-Design and Evaluation of a Conversational Agent to Enhance Health Awareness
Meier P, Beinke JH, Fitte C, Behne A, Teuteberg F · 2019
Earlier work this paper cites.
Survey of conversational agents in health
Montenegro JLZ, da Costa CA, da Rosa Righi R · 2019
Earlier work this paper cites.
Privacy in the age of medical big data
Price WN, Cohen IG · 2019
Earlier work this paper cites.
Conversational agents in health care: scoping review and conceptual analysis
Tudor Car L, Dhinagaran DA, Kyaw BM, Kowatsch T, Joty S, Theng YL, et al · 2020
Earlier work this paper cites.
The effectiveness of artificial intelligence conversational agents in health care: systematic review
Milne-Ives M, de Cock C, Lim E, Shehadeh MH, de Pennington N, Mole G, et al · 2020
Earlier work this paper cites.
The role of empathy in health and social care professionals
Moudatsou M, Stavropoulou A, Philalithis A, Koukouli S · 2020
Earlier work this paper cites.
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Lee J, Yoon W, Kim S, Kim D, Kim S, So CH, et al · 2020
Earlier work this paper cites.
An exhaustive survey on security and privacy issues in Healthcare 4.0
Hathaliya JJ, Tanwar S · 2020
Cited alongside, same era.
Domain-specific language model pretraining for biomedical natural language processing
Gu Y, Tinn R, Cheng H, Lucas M, Usuyama N, Liu X, et al · 2021
Cited alongside, same era.
Gpt-3 models are poor few-shot learners in the biomedical domain
Moradi M, Blagec K, Haberl F, Samwald M · 2021
Cited alongside, same era.
NeuroKit2: A Python toolbox for neurophysiological signal processing
Makowski D, Pham T, Lau ZJ, Brammer JC, Lespinasse F, Pham H, et al · 2021
Cited alongside, same era.
BioGPT: generative pre-trained transformer for biomedical text generation and mining
Luo R, Sun L, Xia Y, Qin T, Zhang S, Poon H, et al · 2022
Cited alongside, same era.
OpenAI ChatGPT generated literature review: Digital twin in healthcare
The utility of ChatGPT for cancer treatment information
Chen S, Kann BH, Foote MB, Aerts HJ, Savova GK, Mak RH, et al · 2023
Closest in time.
BioSignal Copilot: Leveraging the power of LLMs in drafting reports for biomedical signals
Liu C, Ma Y, Kothur K, Nikpour A, Kavehei O · 2023
Closest in time.
ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders
Xu S, Yang L, Kelly C, Sieniek M, Kohlberger T, Ma M, et al · 2023
Closest in time.
Multimodal LLMs for health grounded in individual-specific data
Belyaeva A, Cosentino J, Hormozdiari F, McLean CY, Furlotte NA · 2023
Closest in time.
Hallucinations in large multilingual translation models
Guerreiro NM, Alves D, Waldendorf J, Haddow B, Birch A, Colombo P, et al · 2023
Closest in time.
Tree of thoughts: Deliberate problem solving with large language models
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Aydın Ö, Karaarslan E · 2022
Cited alongside, same era.
Thinking about gpt-3 in-context learning for biomedical ie? think again
Gutierrez BJ, McNeal N, Washington C, Chen Y, Li L, Sun H, et al · 2022
Cited alongside, same era.
React: Synergizing reasoning and acting in language models
Yao S, Zhao J, Yu D, Du N, Shafran I, Narasimhan K, et al · 2022
Cited alongside, same era.
Optimizing prompts for text-to-image generation
Hao Y, Chi Z, Dong L, Wei F · 2022
Cited alongside, same era.
ChatGPT utility in healthcare education, research, and practice: systematic review on the promising perspectives and valid concerns
Sallam M; MDPI · 2023
Cited alongside, same era.
MedAlpaca–An Open-Source Collection of Medical Conversational AI Models and Training Data
Han T, Adams LC, Papaioannou JM, Grundmann P, Oberhauser T, Löser A, et al · 2023
Cited alongside, same era.
Towards Generalist Biomedical AI
Tu T, Azizi S, Driess D, Schaekermann M, Amin M, Chang PC, et al · 2023
Cited alongside, same era.
Yao S, Yu D, Zhao J, Shafran I, Griffiths TL, Cao Y, et al · 2023
Closest in time.
Plan-and-solve prompting: Improving zero-shot chain-of-thought reasoning by large language models
Wang L, Xu W, Lan Y, Hu Z, Lan Y, Lee RKW, et al · 2023
Closest in time.
LLM-Rec: Personalized Recommendation via Prompting Large Language Models
Lyu H, Jiang S, Zeng H, Xia Y, Luo J · 2023
Closest in time.
ZotCare: a flexible, personalizable, and affordable mhealth service provider
Labbaf S, Abbasian M, Azimi I, Dutt N, Rahmani AM · 2023
Closest in time.
Can generalist foundation models outcompete special-purpose tuning? case study in medicine
Nori H, Lee YT, Zhang S, Carignan D, Edgar R, Fusi N, et al · 2023
Closest in time.
Physiological and Emotional Assessment of College Students Using Wearable and Mobile Devices During the 2020 Covid-19 Lockdown: An Intensive, Longitudinal Dataset
Labbaf S, Abbasian M, Nguyen B, Lucero M, Ahmed MS, Yunusova A, et al · 2023
Closest in time.
Impact of COVID-19 Pandemic on Sleep Including HRV and Physical Activity as Mediators: A Causal ML Approach
Khatibi E, Abbasian M, Azimi I, Labbaf S, Feli M, Borelli J, et al · 2023
Closest in time.
https://openai.com/chatgpt
OpenAI. ChatGPT: OpenAI’s Conversational AI Model; Accessed: January 2024 · 2024
Closest in time.
https://a16z.com/how-are-consumers-using-generative-ai/
Moore O. How Are Consumers Using Generative AI?; Accessed: January 2024 · 2024
Closest in time.
https://py-googletrans.readthedocs.io/en/latest/
Google. Google Translate; Accessed: January 2024 · 2024
Closest in time.
https://platform.openai.com/docs/guides/prompt-engineering/strategy-write-clear-instructions
OpenAI. ChatGPT: Prompt engineering instrauctions.; Accessed: January 2024 · 2024
Closest in time.
https://ilumivu.com/
ilumivu. ilumivu; Accessed: January 2024 · 2024
Closest in time.
https://serpapi.com
SerpAPI. Google Search API; Accessed: January 2024 · 2024
Closest in time.
https://www.samsung.com/us/mobile/wearables/smartwatches/gear-sport-blue-sm-r600nzbaxar/
Samsung. Samsung Gear Watch; Accessed: January 2024 · 2024
Closest in time.
https://www.anthropic.com/product
Claude. Claude: A next-generation AI assistant for your tasks, no matter the scale; Accessed: January 2024 · 2024
Closest in time.