The Promise of Explainable AI in Digital Health for Precision Medicine: A Systematic Review

Abstract

This review synthesizes the literature on explaining machine-learning models for digital health data in precision medicine. As healthcare increasingly tailors treatments to individual characteristics, the integration of artificial intelligence with digital health data becomes crucial. Leveraging a topic-modeling approach, this paper distills the key themes of 27 journal articles. We included peer-reviewed journal articles written in English, with no time constraints on the search. A Google Scholar search, conducted up to 19 September 2023, yielded 27 journal articles. Through a topic-modeling approach, the identified topics encompassed optimizing patient healthcare through data-driven medicine, predictive modeling with data and algorithms, predicting diseases with deep learning of biomedical data, and machine learning in medicine. This review delves into specific applications of explainable artificial intelligence, emphasizing its role in fostering transparency, accountability, and trust within the healthcare domain. Our review highlights the necessity for further development and validation of explanation methods to advance precision healthcare delivery.

Joint Expedition: Exploring the Intersection of Digital Health and AI in Precision Medicine with Team Integration

“…This Special Issue has successfully achieved a significant milestone, featuring 20 contributions (Co)s (excluding this editorial) [9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28].…”

“…The published papers (see Figure 1), according to the selected categories, encompass 1 introductory editorial [9], 7 full scientific articles [10][11][12][13][14][15][16], 5 reviews [17][18][19][20][21], 2 systematic reviews [22,23], 4 perspectives [24][25][26][27], and 1 opinion article [28].…”

“…Allen [22] proposes a systematic review, providing a synthesis of the literature on explaining machine-learning models for digital health data in precision medicine. As healthcare increasingly customizes treatments to individual characteristics, the integration of artificial intelligence with digital health data becomes crucial.…”

“…Twenty distinct contributions [9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28] weave through the intricate fields of the health domain focused on the integration of digital health and AI with precision medicine. These studies, spanning diverse medical domains, collectively leverage several AI and digital health approaches to precision medicine.…”

“…Furthermore, homing in on systematic reviews [22,23], these works systematically identify patterns and scientific questions, offering a focused examination of specific areas where scholars are directing their attention. The thematic emphasis on digital health and AI becomes even more apparent, illustrating their integral role in addressing precise scientific inquiries.…”