The rapid evolution of Artificial Intelligence (AI) has significantly transformed healthcare, particularly in the domain of Remote Patient Monitoring (RPM). This chapter explores the integration of AI in RPM, highlighting real-life applications, system architectures, and the benefits it brings to patient care and healthcare systems. Through a comprehensive analysis of current technologies, methodologies, and case studies, I present a detailed overview of how AI enhances monitoring accuracy, predictive analytics, and personalized treatment plans.

The large language model called ChatGPT has drawn extensively attention because of its human-like expression and reasoning abilities. In this study, we investigate the feasibility of using ChatGPT in experiments on using ChatGPT to translate radiology reports into plain language for patients and healthcare providers so that they are educated for improved healthcare. Radiology reports from 62 low-dose chest CT lung cancer screening scans and 76 brain MRI metastases screening scans were collected in the first half of February for this study. According to the evaluation by radiologists, ChatGPT can successfully translate radiology reports into plain language with an average score of 4.27 in the five-point system with 0.08 places of information missing and 0.07 places of misinformation. In terms of the suggestions provided by ChatGPT, they are general relevant such as keeping following-up with doctors and closely monitoring any symptoms, and for about 37% of 138 cases in total ChatGPT offers specific suggestions based on findings in the report. ChatGPT also presents some randomness in its responses with occasionally over-simplified or neglected information, which can be mitigated using a more detailed prompt. Furthermore, ChatGPT results are compared with a newly released large model GPT-4, showing that GPT-4 can significantly improve the quality of translated reports. Our results show that it is feasible to utilize large language models in clinical education, and further efforts are needed to address limitations and maximize their potential.

Mixed-integer programming saves the day. Taking a cue from consumer supply chains and the data-driven advances that have revolutionized them in recent decades, Gabe Verzino walks us through a scheduling program that would empower both patients and healthcare providers to use their time more efficiently. Bayes' Theorem might sound, well, theoretical. As Khuyen Tran shows in her recent tutorial (based on the traffic patterns of her own website), it can also be a powerful tool for detecting and analyzing change points in your data. The road to the perfect shot of espresso passes through a lot of data.

Intelligence (AI) has enabled healthcare providers to take enlightened decisions via proactive data analysis and targeted advice. Telemedicine Solutions with Artificial Intelligence have tremendous potential to re-shape global healthcare scenario in the coming years. Artificial Intelligence enables healthcare software to remotely analyze patient's vital statistics and automate certain tasks based on AI algorithms. For example in AI-based decisions, automation is to analyze certain health data and trigger alert indicating health conditions of patient. Such intelligent systems not only help identify high-risk conditions but can proactively alert patient of any upcoming abnormality.

The Canadian Biome Digital Innovation Hub, located in the heart of Montreal's dynamic and world-renowned artificial intelligence (AI) community, joins the global network introduced by Novartis in October 2018 with the launch of the first Biome in the digital heartland of Silicon Valley. The network has since expanded to include hubs in the United Kingdom, France, India and now Canada. This announcement follows on from the strategic alliance created last year between Novartis and Mila, the Montreal AI research institute founded in 1993 by Professor Yoshua Bengio. The Biome will be headquartered at Mila where start-ups and entrepreneurs who will become partners within the Biome will have access to the Novartis Canada team so ideas can be converted quickly into solutions for patients. Recognizing the momentum for innovative digital solutions is here and now, partners will have available to them the growing network of Novartis Digital Innovation Hubs in global centres as well as resources to scale up ideas as fast as possible to help patients and healthcare providers in Canada and around the world.