A foundational set of findable, accessible, interoperable, and reusable (FAIR) principles
were proposed in 2016 as prerequisites for proper data management and stewardship, with …

This review synthesizes the literature on explaining machine-learning models for digital
health data in precision medicine. As healthcare increasingly tailors treatments to individual …

Recent advancements in orthopedic surgery have greatly improved the management of
musculoskeletal disorders and injuries. This review discusses the latest therapeutic …

Machine Learning for the Orthopaedic Surgeon: Uses and Limit... : JBJS Machine Learning for
the Orthopaedic Surgeon: Uses and Limitations : JBJS JBJS Journal Case Connector Reviews …

Introduction: The healthcare industry has made significant progress in information
technology, which has improved healthcare procedures and brought about advancements in …

Cancer is the second major cause of disease-related death worldwide, and its accurate
early diagnosis and therapeutic intervention are fundamental for saving the patient's life …

Diagnostic workup of cancer patients is highly reliant on the science of pathology by means
of cytopathology, histopathology and other ancillary techniques like immunohistochemistry …

Parkinson's disease (PD) disorder is caused by the imbalance of inhibitory dopamine and
excitatory acetylcholine neurotransmitters, which causes hindrance in locomotion. Freezing …

Widespread generation and analysis of omics data have revolutionized molecular medicine
on Earth, yet its power to yield new mechanistic insights and improve occupational health …

Artificial intelligence (AI) has birthed the new" big thing" in modern medicine. It promises to
bring about safer and improved care that will be beneficial to patients and become a helpful …