Current Status and Future Directions: The Application of Artificial Intelligence/Machine Learning for Precision Medicine.

Technological innovations, such as artificial intelligence (AI) and machine learning (ML), have the potential to expedite the goal of precision medicine, especially when combined with increased capacity for voluminous data from multiple sources and expanded therapeutic modalities; however, they also present several challenges. In this communication, we first discuss the goals of precision medicine, and contextualize the use of AI in precision medicine by showcasing innovative applications (e.g., prediction of tumor growth and overall survival, biomarker identification using biomedical images, and identification of patient population for clinical practice) which were presented during the February 2023 virtual public workshop entitled "Application of Artificial Intelligence and Machine Learning for Precision Medicine," hosted by the US Food and Drug Administration (FDA) and University of Maryland Center of Excellence in Regulatory Science and Innovation (M-CERSI). Next, we put forward challenges brought about by the multidisciplinary nature of AI, particularly highlighting the need for AI to be trustworthy. To address such challenges, we subsequently note practical approaches, viz., differential privacy, synthetic data generation, and federated learning. The proposed strategies - some of which are highlighted presentations from the workshop - are for the protection of personal information and intellectual property. In addition, methods such as the risk-based management approach and the need for an agile regulatory ecosystem are discussed. Finally, we lay out a call for action that includes sharing of data and algorithms, development of regulatory guidance documents, and pooling of expertise from a broad-spectrum of stakeholders to enhance the application of AI in precision medicine.

Social media use by shoulder and elbow surgeons increases the number of ratings on physician review websites.

BACKGROUND: The use of physician review websites by patients is increasingly frequent. One potential way for shoulder and elbow surgeons to enhance their online reputation and attract patients is via social media, yet its impact is unknown. This study sought to analyze the effect of social media use on the number of online ratings and overall rating of shoulder and elbow surgeons. We secondarily studied variables affecting social media use. METHODS: The American Shoulder and Elbow Surgeons directory was probed to identify practicing surgeons. Surgeon evaluation data, including ratings, comments, and reviews, were compiled from 3 physician review websites (Google, Healthgrades, and Vitals). Google was queried to assess for a professional Facebook, Twitter, or Instagram account, as well as obtain information on surgeon training, practice location, and other demographic variables. RESULTS: A total of 646 surgeons met the inclusion criteria (93.8% male and 6.2% female surgeons). Overall, 37% had a professional social media account (Facebook, 23.1%; Twitter, 24.1%; and Instagram, 9.4%). Linear regression analysis showed that Facebook use correlated with an average increase of 48.6 in the number of ratings. No social media platform correlated with physician rating. The surgeons more likely to use social media were those who graduated residency in 2000 or later (40.8% vs. 29.2%), those who practiced in cities with higher populations (mean, 1188.9 vs. 708.4 [per 1000]), and those with more surgeons practicing in the same city (mean, 7.0 vs. 5.0). CONCLUSION: The majority of shoulder and elbow surgeons do not have a professional social media account. Those using this platform are younger and located in more populous cities with more competition. Having a professional social media profile was not correlated with ratings, but there was a positive association with the number of online ratings, and Facebook had the strongest association. Surgeon ratings are overwhelmingly positive with minimal variability; therefore, a high number of ratings confirms a surgeon's exceptional reputation. The residency graduation year, city population, and number of nearby surgeons affected ratings, although the absolute differences were minimal. For shoulder and elbow surgeons, a professional social media account correlates with an increase in the number of online physician ratings. Recent graduates practicing in competitive locations may feel increased pressure to leverage this in an attempt to build their practices.