AI Medical Compendium

Novel artificial intelligence algorithm for soft tissue balancing and bone cuts in robotic total knee arthroplasty improves accuracy and surgical duration.

Arthroplasty (London, England) Aug 4, 2025

BACKGROUND: Robotic Total Knee Arthroplasty (rTKA) has become increasingly popular. Intraoperative manual planning of femur and tibia implant positions in all degrees of freedom to achieve surgeon-defined targets and limits of bone cuts, gaps, and al... read more

Enhanced gastrocnemius-mimicking lower limb powered exoskeleton robot.

Journal of neuroengineering and rehabilitation Aug 4, 2025

BACKGROUND: Lower limb muscle bionic devices have attracted significant attention in rehabilitation and assistive sports technology. Despite advancements in mimicking human movement, current devices still face challenges in enhancing strength and mov... read more

Robotics Equipment Design Muscle, Skeletal Ankle Joint Exoskeleton Device Walking Electromyography Biomechanical Phenomena Adult Lower Extremity Male Female Young Adult Humans

Protecting Radiology Data and Devices Against Cybersecurity Threats: A Joint White Paper of the American College of Radiology (ACR) and Society for Imaging Informatics in Medicine (SIIM).

Journal of imaging informatics in medicine Aug 4, 2025

Modern radiology relies entirely on digital imaging systems. Healthcare records draw cybercriminals' attention. On-site and cloud-based informatics systems, including artificial intelligence, can boost efficiency but also create weak points. Medical ... read more

Machine learning algorithms for risk factor selection with application to 60-day sepsis morbidity risk for a geriatric hip fracture cohort.

BMC geriatrics Aug 4, 2025

BACKGROUND: Sepsis after hip fracture in elderly people is a risk factor for mortality. The purpose of this study was to screen for risk factors for 60-day sepsis morbidity after hip fracture and to establish a predictive model using various machine ... read more

Risk Assessment Sepsis Male Morbidity Hip Fractures Time Factors Risk Factors Machine Learning Humans Cohort Studies Female Algorithms Aged, 80 and over Aged

Impact of artificial intelligence assistance on bone scintigraphy diagnosis.

Physical and engineering sciences in medicine Aug 4, 2025

Bone scintigraphy is an important tool for detecting bone lesions. This study aimed to improve and evaluate the performance of our previously-developed deep learning-based model called MaligNet in helping nuclear medicine (NM) physicians interpret bo... read more

Colorimetric detection of bisphenol A in water: a smartphone-based sensor using inverse opal molecularly imprinted photonic crystal hydrogel.

The Analyst Aug 4, 2025

Molecularly imprinted photonic crystal hydrogel (MIPCH) serves as a highly effective platform for the sensitive and selective detection of various analyte molecules. In this study, we present a smartphone-based inverse opal MIPCH (IOMIPCH) sensor des... read more

Harnessing the Potential of Carotenoids for Cancer Therapy: An Integrated Machine Learning and MST Based Approach.

Phytotherapy research : PTR Aug 4, 2025

Receptor tyrosine kinases (RTKs) are high-affinity membrane-anchored receptors involved in cellular communication via various ligands and manage numerous biological processes such as cell growth, differentiation, and metabolism. However, dysregulatio... read more

The relationship between clinical subtypes, prognosis, and treatment in ICU patients with acute cholangitis using unsupervised machine learning methods.

BMC infectious diseases Aug 4, 2025

BACKGROUND: Acute cholangitis (AC) presents with significant clinical heterogeneity, and existing severity classifications have limited prognostic value in critically ill patients. Subtypes of AC in critically ill patients have not been investigated. read more

Cholangitis Acute Disease Middle Aged Unsupervised Machine Learning Prognosis Female Male Retrospective Studies Humans Aged Intensive Care Units Critical Illness

Respiratory viral infections: when and where? A scoping review of spatiotemporal methods.

Journal of global health Aug 4, 2025

BACKGROUND: Respiratory viral infections pose a substantial disease burden worldwide. Spatiotemporal techniques help identify transmission patterns of these infections, thereby supporting timely control and prevention efforts. We aimed to synthesise ... read more

Spatio-Temporal Analysis COVID-19 Virus Diseases Humans Respiratory Tract Infections SARS-CoV-2

Integrated multiple machine learning and Mendelian randomization reveal LTF gene as a prognostic biomarker for nonspecific orbital inflammation.

BMC pharmacology & toxicology Aug 4, 2025

BACKGROUND: Nonspecific orbital inflammation (NSOI), also known as idiopathic orbital inflammation, comprises a heterogeneous group of immune-mediated disorders affecting orbital tissues, unified by the absence of a defined etiology. Lactotransferrin... read more

Machine Learning Humans Mendelian Randomization Analysis Databases, Genetic Orbital Pseudotumor Prognosis Lactoferrin Inflammation Biomarkers

Artificial Intelligence Medical Compendium