A Tumor in Disguise: Gallbladder Tumor Presenting as Hepatic Abscesses.

Gallbladder tumors are the most common tumors of the biliary tract. They are rare but clinically aggressive tumors found either as metastatic disease or occasionally detected upon the histopathological assessment of cholecystectomy biopsy. Adenocarcinoma is the most common phenotype of gallbladder cancer, which can be mild to moderately differentiated. Other malignant phenotypes include mucinous adenocarcinoma, signet cell, small cell, papillary adenocarcinoma, intestinal type adenocarcinoma, and undifferentiated carcinoma. The rarity of the disease makes the diagnosis extremely difficult in the initial phases. Liver abscesses are extremely rare and scarcely reported presentation of gallbladder cancer, with only a handful reported cases. It is speculated that the development of hepatic abscesses depicts direct involvement of hepatic parenchyma, development of associated necrosis, and superimposed bacterial infection evolving to an abscess. Gallbladder perforations are rare and potentially life-threatening complications of any gallbladder disease. Increased intraluminal pressure leads to mural necrosis, emphysematous changes in the wall, and vascular compromise which leads to gallbladder wall necrosis leading to perforation. Gallbladder tumors are exceedingly notorious for poor outcomes with very limited survival. Here, we present a case of a 69-year-old male who initially presented with impending perforation of the gallbladder with multiple hepatic masses, which were thought to be metastatic deposits. However, on biopsy, he was found to have multiple hepatic abscesses due to localized necrosis. Further workup revealed that the patient had an advanced metastatic gallbladder tumor that had passed the stage of tumor resection. Gallbladder perforations are classified according to Niemeier's classification. Our patient had a type II perforation which resulted in a hepatic abscess.

Digital Pulmonology Practice with Phonopulmography Leveraging Artificial Intelligence: Future Perspectives Using Dual Microwave Acoustic Sensing and Imaging.

Respiratory disorders, being one of the leading causes of disability worldwide, account for constant evolution in management technologies, resulting in the incorporation of artificial intelligence (AI) in the recording and analysis of lung sounds to aid diagnosis in clinical pulmonology practice. Although lung sound auscultation is a common clinical practice, its use in diagnosis is limited due to its high variability and subjectivity. We review the origin of lung sounds, various auscultation and processing methods over the years and their clinical applications to understand the potential for a lung sound auscultation and analysis device. Respiratory sounds result from the intra-pulmonary collision of molecules contained in the air, leading to turbulent flow and subsequent sound production. These sounds have been recorded via an electronic stethoscope and analyzed using back-propagation neural networks, wavelet transform models, Gaussian mixture models and recently with machine learning and deep learning models with possible use in asthma, COVID-19, asbestosis and interstitial lung disease. The purpose of this review was to summarize lung sound physiology, recording technologies and diagnostics methods using AI for digital pulmonology practice. Future research and development in recording and analyzing respiratory sounds in real time could revolutionize clinical practice for both the patients and the healthcare personnel.

Practicing Digital Gastroenterology through Phonoenterography Leveraging Artificial Intelligence: Future Perspectives Using Microwave Systems.

Production of bowel sounds, established in the 1900s, has limited application in existing patient-care regimes and diagnostic modalities. We review the physiology of bowel sound production, the developments in recording technologies and the clinical application in various scenarios, to understand the potential of a bowel sound recording and analysis device-the phonoenterogram in future gastroenterological practice. Bowel sound production depends on but is not entirely limited to the type of food consumed, amount of air ingested and the type of intestinal contractions. Recording technologies for extraction and analysis of these include the wavelet-based filtering, autoregressive moving average model, multivariate empirical mode decompression, radial basis function network, two-dimensional positional mapping, neural network model and acoustic biosensor technique. Prior studies evaluate the application of bowel sounds in conditions such as intestinal obstruction, acute appendicitis, large bowel disorders such as inflammatory bowel disease and bowel polyps, ascites, post-operative ileus, sepsis, irritable bowel syndrome, diabetes mellitus, neurodegenerative disorders such as Parkinson's disease and neonatal conditions such as hypertrophic pyloric stenosis. Recording and analysis of bowel sounds using artificial intelligence is crucial for creating an accessible, inexpensive and safe device with a broad range of clinical applications. Microwave-based digital phonoenterography has huge potential for impacting GI practice and patient care.