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Navigating the U.S. Regulatory Landscape for Neurologic Digital Health Technologies

Overview
Journal NPJ Digit Med
Date 2024 Apr 12
PMID 38609447
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References
1.
Abramoff M, Roehrenbeck C, Trujillo S, Goldstein J, Graves A, Repka M . A reimbursement framework for artificial intelligence in healthcare. NPJ Digit Med. 2022; 5(1):72. PMC: 9184542. DOI: 10.1038/s41746-022-00621-w. View

2.
Tang M, Nakamoto C, Stern A, Zubizarreta J, Marcondes F, Uscher-Pines L . Effects of Remote Patient Monitoring Use on Care Outcomes Among Medicare Patients With Hypertension : An Observational Study. Ann Intern Med. 2023; 176(11):1465-1475. DOI: 10.7326/M23-1182. View

3.
Sotirakis C, Su Z, Brzezicki M, Conway N, Tarassenko L, FitzGerald J . Identification of motor progression in Parkinson's disease using wearable sensors and machine learning. NPJ Parkinsons Dis. 2023; 9(1):142. PMC: 10560243. DOI: 10.1038/s41531-023-00581-2. View

4.
Clark P, Kim J, Aphinyanaphongs Y . Marketing and US Food and Drug Administration Clearance of Artificial Intelligence and Machine Learning Enabled Software in and as Medical Devices: A Systematic Review. JAMA Netw Open. 2023; 6(7):e2321792. PMC: 10323702. DOI: 10.1001/jamanetworkopen.2023.21792. View

5.
Shah N, Mello M . Discrepancies Between Clearance Summaries and Marketing Materials of Software-Enabled Medical Devices Cleared by the US Food and Drug Administration. JAMA Netw Open. 2023; 6(7):e2321753. DOI: 10.1001/jamanetworkopen.2023.21753. View