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In health, most large language model (LLM) research has focused on clinical tasks.
There’s a smart way to write managements’s goals and objectives
G. T. Doran · 1981
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Changes in physical activity, mortality, and incidence of coronary heart disease in older men
S. G. Wannamethee, A. G. Shaper, and M. Walker · 1998
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Chronic psychosocial stress predicts long-term cardiovascular morbidity and mortality in middle-aged men
B. Öhlin, P. Nilsson, J.-Å. Nilsson, and G. Berglund · 2004
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Advances in wearable technology and applications in physical medicine and rehabilitation
P. Bonato · 2005
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Impact of patient-reported outcome measures on routine practice: a structured review
S. Marshall, K. Haywood, and R. Fitzpatrick · 2006
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Physical activity, fitness and fatness: relations to mortality, morbidity and disease risk factors. A systematic review
M. Fogelholm · 2010
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Development of short forms from the PROMIS™ sleep disturbance and sleep-related impairment item banks
L. Yu, D. J. Buysse, A. Germain, D. E. Moul, A. Stover, N. E. Dodds, K. L. Johnston, and P. A. Pilkonis · 2012
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Sleep Health: Can We Define It? Does It Matter?
D. J. Buysse · 2014
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Multimodal Medical AI
G. Corrado and Y. Matias · 2014
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Evaluation of wearable consumer heart rate monitors based on photopletysmography
J. Parak and I. Korhonen · 2014
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Patient-reported outcomes in clinical practice
S. Dobrozsi and J. Panepinto · 2015
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The emerging field of mobile health
S. R. Steinhubl, E. D. Muse, and E. J. Topol · 2015
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Incorporating patient-reported outcomes into health care to engage patients and enhance care
D. C. Lavallee, K. E. Chenok, R. M. Love, C. Petersen, E. Holve, C. D. Segal, and P. D. Franklin · 2016
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Monitoring and detecting atrial fibrillation using wearable technology
S. Nemati, M. M. Ghassemi, V. Ambai, N. Isakadze, O. Levantsevych, A. Shah, and G. D. Clifford · 2016
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Large-scale physical activity data reveal worldwide activity inequality
T. Althoff, R. Sosič, J. L. Hicks, A. C. King, S. L. Delp, and J. Leskovec · 2017
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Consumer mobile health apps: current state, barriers, and future directions
C.-K. Kao and D. M. Liebovitz · 2017
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Recent research and developing trends of wearable sensors for detecting blood pressure
T. Arakawa · 2018
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Sleep timing, sleep consistency, and health in adults: a systematic review
J.-P. Chaput, C. Dutil, R. Featherstone, R. Ross, L. Giangregorio, T. J. Saunders, I. Janssen, V. J. Poitras, M. E. Kho, A. Ross-White, et al · 2020
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Reliability and validity of commercially available wearable devices for measuring steps, energy expenditure, and heart rate: systematic review
D. Fuller, E. Colwell, J. Low, K. Orychock, M. A. Tobin, B. Simango, R. Buote, D. Van Heerden, H. Luan, K. Cullen, et al · 2020
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Beyond validation: getting health apps into clinical practice
W. J. Gordon, A. Landman, H. Zhang, and D. W. Bates · 2020
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Clinical applications of mobile health wearable–based sleep monitoring: systematic review
E. Guillodo, C. Lemey, M. Simonnet, M. Walter, E. Baca-García, V. Masetti, S. Moga, M. Larsen, H. Network, J. Ropars, et al · 2020
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Domain-specific language model pretraining for biomedical natural language processing
Y. Gu, R. Tinn, H. Cheng, M. Lucas, N. Usuyama, X. Liu, T. Naumann, J. Gao, and H. Poon · 2021
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Flamingo: a visual language model for few-shot learning
J.-B. Alayrac, J. Donahue, P. Luc, A. Miech, I. Barr, Y. Hasson, K. Lenc, A. Mensch, K. Millican, M. Reynolds, et al · 2022
Cited alongside, same era.
PaLI: A jointly-scaled multilingual language-image model
X. Chen, X. Wang, S. Changpinyo, A. Piergiovanni, P. Padlewski, D. Salz, S. Goodman, A. Grycner, B. Mustafa, L. Beyer, et al · 2022
Cited alongside, same era.
Effectiveness of wearable activity trackers to increase physical activity and improve health: a systematic review of systematic reviews and meta-analyses
T. Ferguson, T. Olds, R. Curtis, H. Blake, A. J. Crozier, K. Dankiw, D. Dumuid, D. Kasai, E. O’Connor, R. Virgara, et al · 2022
Cited alongside, same era.
LoRA: Low-rank adaptation of large language models
E. J. Hu, Y. Shen, P. Wallis, Z. Allen-Zhu, Y. Li, S. Wang, L. Wang, and W. Chen · 2022
Cited alongside, same era.
A. Sharma, K. Rushton, I. W. Lin, T. Nguyen, and T. Althoff · 2023
Later among the works it cites.
Cognitive reframing of negative thoughts through human-language model interaction
A. Sharma, K. Rushton, I. W. Lin, D. Wadden, K. G. Lucas, A. Miner, T. Nguyen, and T. Althoff · 2023
Later among the works it cites.
Large language models encode clinical knowledge
K. Singhal, S. Azizi, T. Tu, S. S. Mahdavi, J. Wei, H. W. Chung, N. Scales, A. Tanwani, H. Cole-Lewis, S. Pfohl, et al · 2023
Later among the works it cites.
Towards expert-level medical question answering with large language models
K. Singhal, T. Tu, J. Gottweis, R. Sayres, E. Wulczyn, L. Hou, K. Clark, S. Pfohl, H. Cole-Lewis, D. Neal, et al · 2023
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alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
P. Liang, R. Bommasani, T. Lee, D. Tsipras, D. Soylu, M. Yasunaga, Y. Zhang, D. Narayanan, Y. Wu, A. Kumar, et al · 2022
Cited alongside, same era.
BLOOM: A 176B-parameter open-access multilingual language model
T. L. Scao, A. Fan, C. Akiki, E. Pavlick, S. Ilić, D. Hesslow, R. Castagné, A. S. Luccioni, F. Yvon, M. Gallé, et al · 2022
Cited alongside, same era.
Self-consistency improves chain of thought reasoning in language models
X. Wang, J. Wei, D. Schuurmans, Q. Le, E. Chi, S. Narang, A. Chowdhery, and D. Zhou · 2022
Cited alongside, same era.
Finetuned language models are zero-shot learners
J. Wei, M. Bosma, V. Y. Zhao, K. Guu, A. W. Yu, B. Lester, N. Du, A. M. Dai, and Q. V. Le · 2022
Cited alongside, same era.
Chain-of-thought prompting elicits reasoning in large language models
J. Wei, X. Wang, D. Schuurmans, M. Bosma, F. Xia, E. Chi, Q. V. Le, D. Zhou, et al · 2022
Cited alongside, same era.
Large-scale training of foundation models for wearable biosignals
S. Abbaspourazad, O. Elachqar, A. C. Miller, S. Emrani, U. Nallasamy, and I. Shapiro · 2023
Cited alongside, same era.
R. Anil, A. M. Dai, O. Firat, M. Johnson, D. Lepikhin, A. Passos, S. Shakeri, E. Taropa, P. Bailey, Z. Chen, et al · 2023
Cited alongside, same era.
Multimodal llms for health grounded in individual-specific data
A. Belyaeva, J. Cosentino, F. Hormozdiari, K. Eswaran, S. Shetty, G. Corrado, A. Carroll, C. Y. McLean, and N. A. Furlotte · 2023
Cited alongside, same era.
H. Touvron, L. Martin, K. Stone, P. Albert, A. Almahairi, Y. Babaei, N. Bashlykov, S. Batra, P. Bhargava, S. Bhosale, et al · 2023
Later among the works it cites.
Towards generalist biomedical AI
T. Tu, S. Azizi, D. Driess, M. Schaekermann, M. Amin, P.-C. Chang, A. Carroll, C. Lau, R. Tanno, I. Ktena, et al · 2023
Later among the works it cites.
The shaky foundations of large language models and foundation models for electronic health records
M. Wornow, Y. Xu, R. Thapa, B. Patel, E. Steinberg, S. Fleming, M. A. Pfeffer, J. Fries, and N. H. Shah · 2023
Later among the works it cites.
S. Xu, L. Yang, C. Kelly, M. Sieniek, T. Kohlberger, M. Ma, W.-H. Weng, A. Kiraly, S. Kazemzadeh, Z. Melamed, et al · 2023
Later among the works it cites.
S. Zhang, Y. Xu, N. Usuyama, H. Xu, J. Bagga, R. Tinn, S. Preston, R. Rao, M. Wei, N. Valluri, et al · 2023
Later among the works it cites.
MedAlign: a clinician-generated dataset for instruction following with electronic medical records
S. L. Fleming, A. Lozano, W. J. Haberkorn, J. A. Jindal, E. Reis, R. Thapa, L. Blankemeier, J. Z. Genkins, E. Steinberg, A. Nayak, et al · 2024
Closest in time.
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Gemini Team, Google · 2024
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GPT-4 passes the bar exam
D. M. Katz, M. J. Bommarito, S. Gao, and P. Arredondo · 2024
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Health-LLM: Large language models for health prediction via wearable sensor data
Y. Kim, X. Xu, D. McDuff, C. Breazeal, and H. W. Park · 2024
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LLaVA-Med: Training a large language-and-vision assistant for biomedicine in one day
C. Li, C. Wong, S. Zhang, N. Usuyama, H. Liu, J. Yang, T. Naumann, H. Poon, and J. Gao · 2024
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I. W. Lin, A. Sharma, C. M. Rytting, A. S. Miner, J. Suh, and T. Althoff · 2024
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The Google Health Digital Well-Being Study: Protocol for a Digital Device Use and Well-Being Study
D. McDuff, A. Barakat, A. Winbush, A. Jiang, F. Cordeiro, R. Crowley, L. E. Kahn, J. Hernandez, N. B. Allen, et al · 2024
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Transforming wearable data into health insights using large language model agents
M. A. Merrill, A. Paruchuri, N. Rezaei, G. Kovacs, J. Perez, Y. Liu, E. Schenck, N. Hammerquist, J. Sunshine, S. Tailor, K. Ayush, H.-W. Su, Q. He, C. Y. McLean, M. Malhotra, S. Patel, J. Zhan, T. Althoff, D. McDuff, and X. Liu · 2024
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Gpt-4 technical report, 2024
OpenAI · 2024
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GPT-4V(ision) technical work and authors
OpenAI (2023) · 2024
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Capabilities of Gemini models in medicine
K. Saab, T. Tu, W.-H. Weng, R. Tanno, D. Stutz, E. Wulczyn, F. Zhang, T. Strother, C. Park, E. Vedadi, et al · 2024
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A comprehensive survey of large language models and multimodal large language models in medicine
H. Xiao, F. Zhou, X. Liu, T. Liu, Z. Li, X. Liu, and X. Huang · 2024
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Advancing multimodal medical capabilities of Gemini
L. Yang, S. Xu, A. Sellergren, T. Kohlberger, Y. Zhou, I. Ktena, A. Kiraly, F. Ahmed, F. Hormozdiari, T. Jaroensri, et al · 2024
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