Shaban-NejadAMichalowskiMBiancoS. Artificial intelligence for personalized care, wellness, and longevity research. In: Shaban-NejadAMichalowskiMBiancoS (eds) Artificial intelligence for personalized care, wellness, and longevity research (Studies in computational intelligence), vol. 1106. Cham: Springer, 2023, pp.1–9
2.
MeskoB. The ChatGPT (generative artificial intelligence) revolution has made artificial intelligence approachable for medical professionals.J Med Internet Res2023;25:e48392
3.
KarabacakMOzkaraBBMargetisKWintermarkMBisdasS. The Advent of generative language models in medical education.JMIR Med Educ2023;9:e48163
4.
The Lancet Regional Health-Europe. Embracing generative AI in health care.Lancet Reg Health Eur2023;30:100677
5.
MeskóB. The impact of multimodal large language models on health Care’s future.J Med Internet Res2023;25:e52865
6.
Shaban-NejadAMichalowskiMBiancoSBrownsteinJSBuckeridgeDLDavisRL. Applied artificial intelligence in healthcare: listening to the winds of change in a post-COVID-19 world.Exp Biol Med2022;247:1969–71
7.
Shaban-NejadAMichalowskiMPeekNBrownsteinJSBuckeridgeDL. Seven pillars of precision digital health and medicine.Artif Intell Med2020;103:101793
8.
LeePBubeckSPetroJ. Benefits, limits, and risks of GPT-4 as an AI chatbot for medicine.N Engl J Med2023;388:1233–9
9.
SinghNLawrenceKRichardsonSMannDM. Centering health equity in large language model deployment.PLoS Digit Health2023;2:e0000367
10.
PatrinosGPSarhangiNSarramiBKhodayariNLarijaniBHasanzadM. Using ChatGPT to predict the future of personalized medicine.Pharmacogenomics J2023;23:178–84
11.
TemsahMHJamalAAljamaanFAl-TawfiqJAAl-EyadhyA. ChatGPT-4 and the global burden of disease study: advancing personalized healthcare through artificial intelligence in clinical and translational medicine.Cureus2023;15:e39384
12.
Shaban-NejadAMichalowskiMBiancoS. Multimodal artificial intelligence: next wave of innovation in healthcare and medicine. In: Shaban-NejadAMichalowskiMBiancoS (eds) Multimodal AI in healthcare: a paradigm shift in health intelligence (Studies in computational intelligence series), vol. 1060. Cham: Springer, 2023
13.
Shaban-NejadAMichalowskiMBrownsteinJSBuckeridgeDL. Guest editorial explainable AI: towards fairness, accountability, transparency and trust in healthcare.IEEE J Biomed Health Inform2021;25(7):2374–75
14.
Shaban-NejadAMichalowskiMBuckeridgeDL. Explainability and interpretability: keys to deep medicine. In: Shaban-NejadAMichalowskiMBuckeridgeDL (eds) Explainable AI in healthcare and medicine (Studies in computational intelligence), vol. 914. Cham: Springer, 2021, pp.1–10
15.
GoldsackJCCoravosABakkerJPBentBDowlingAVFitzer-AttasCGodfreyAGodinoJGGujarNIzmailovaEMantaCPetersonBVandendriesscheBWoodWAWangKWDunnJ. Verification, analytical validation, and clinical validation (V3): the foundation of determining fit-for-purpose for Biometric Monitoring Technologies (BioMeTs).npj Digit Med2020;3:55
16.
DwivediYKKshetriNHughesLSladeELJeyarajAKarAKBaabdullahAMKoohangARaghavanVAhujaMAlbannaHAlbashrawiMAAl-BusaidiASBalakrishnanJBarletteYBasuSBoseIBrooksLBuhalisDCarterLWrightR. Opinion paper: “So what if ChatGPT wrote it?” multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy.Int J Inf Manag2023;71:102642
17.
ChenRJLuMYChenTYWilliamsonDFKMahmoodF. Synthetic data in machine learning for medicine and healthcare.Nat Biomed Eng2021;5:493–7
18.
WangCLiuSYangHGuoJWuYLiuJ. Ethical considerations of using ChatGPT in health care.J Med Internet Res2023;25:e48009
MeskóBTopolEJ. The imperative for regulatory oversight of large language models (or generative AI) in healthcare.npj Digit Med2023;6:120
21.
YewPYLiangYAdamTJWolfsonJTonellatoPJChiCL. Decision rules for personalized statin treatment prescriptions over multi-objectives.Exp Biol Med2024;248:2526–37
22.
ThomasMBoursalieOSamaviRDoyleTE. Data-driven approach to quantify trust in medical devices using Bayesian networks.Exp Biol Med2024;248:2578–92
23.
WernerEClarkJNHepburnABhamberRSAmblerMBourdeauxCPMcWilliamsCJSantos-RodriguezR. Explainable hierarchical clustering for patient subtyping and risk prediction.Exp Biol Med 2024;248:2547–59
24.
AlwuthaynaniMMAbdallahZSSantos-RodriguezR. A robust class decomposition-based approach for detecting Alzheimer’s progression.Exp Biol Med 2024;248:2514–25
25.
LiuYFengYQianaLWangZHuXD. Deep learning diagnostic performance and visual insights in 3 differentiating benign and malignant thyroid nodules on ultrasound 4 images.Exp Biol Med2024;248:2538–46
26.
TangJJinJHuangZAnFHuangCJiangW. The discovery of subunit-selective GluN1/GluN2B NMDAR antagonists via 2 pharmacophore-based virtual screening and machine learning.Exp Biol Med2024;248:2560–77
27.
YangBTianGLuttrellJGongPZhangC. A quantum-based oversampling method for classification of highly imbalanced and overlapped data.Exp Biol Med2024;248:2500–13