The growing burden of insomnia underscores the necessity for accessible and effective treatments, with digital therapeutics offering a promising solution. A systematic search was conducted across seven databases (PubMed, Web of Science, EMBASE, MEDLINE,…
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This randomized trial compared remote perioperative telemonitoring (RPM) care versus surgeon only care in patients with gastrointestinal (GI), genitourinary (GU), or gynecological (GYN) cancers (N = 293). The RPM care arm wore a wristband accelerometer and…
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The prevention of chronic disease is a long-term combat with continual fine-tuning to adapt to the course of disease. Without comprehensive insights, prescriptions may prioritize short-term gains but deviate from trajectories toward long-term survival….
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As complex AI systems become more common in clinical decision-making, a new type of physician-data science specialist is needed to bridge the gap between these AI tools and practicing clinicians. Analogous to how clinical…
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Identification of cohorts at higher risk of cancer can enable earlier diagnosis of the disease, which significantly improves patient outcomes. In this study, we select nine cancer sites with high incidence of late-stage diagnosis…
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We investigate issues pertaining to algorithmic fairness and digital health equity within the context of using machine learning to predict Parkinson’s Disease (PD) with data recorded from structured assessments of finger and hand movements….
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Timely care in a specialised neuro-intensive therapy unit (ITU) reduces mortality and hospital stays. Planned admissions to ITU following surgery are safer than unplanned ones. However, post-operative care decisions remain subjective. This study used…
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This systematic review examines the cost-effectiveness, utility, and budget impact of clinical artificial intelligence (AI) interventions across diverse healthcare settings. Nineteen studies spanning oncology, cardiology, ophthalmology, and infectious diseases demonstrate that AI improves diagnostic…
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Opioids are frequently overprescribed after surgery. We applied a tabular foundation model to predict the risk of post-discharge opioid consumption. The model was trained and internally validated on an 80:20 training/test split of the…
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A retrospective, registry-based cost-minimization analysis assessing whether initiating minor acute primary care episodes via a digital-first pathway reduces costs compared to traditional care in a Finnish setting. Of 637,923 encounters, 64,969 eligible episodes were…
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