Suchergebnisse - "Computer applications to medicine. Medical informatics"

Digital marketing innovation: New business models for pharmaceutical and medical device product marketing von Satoru Hashimoto, Yoshihiro Motozawa, Toshiki Mano

Volltext

Serious Games for Stroke Telerehabilitation of Upper Limb - A Review for Future Research von Paula Amorim, Beatriz Sousa Santos, Paulo Dias, Samuel Silva, Henrique Martins

Volltext

Residual-Based Multi-Stage Deep Learning Framework for Computer-Aided Alzheimer’s Disease Detection von Najmul Hassan, Abu Saleh Musa Miah, Jungpil Shin

Volltext

Prevalence of Health Misinformation on Social Media: Systematic Review von Suarez-Lledo, Victor, Alvarez-Galvez, Javier

“… Although at present there is broad agreement among researchers, health professionals, and policy makers on the need to control and combat health …”
Volltext

Feasibility of [18F]FSPG PET for Early Response Assessment to Combined Blockade of EGFR and Glutamine Metabolism in Wild-Type KRAS Colorectal Cancer von Seong-Woo Bae, Jianbo Wang, Dimitra K. Georgiou, Xiaoxia Wen, Allison S. Cohen, Ling Geng, Mohammed Noor Tantawy, H. Charles Manning

Volltext

Development and Verification of Time-Series Deep Learning for Drug-Induced Liver Injury Detection in Patients Taking Angiotensin II Receptor Blockers: A Multicenter Distributed Research Network Approach von Heo, Suncheol, Yu, Jae Yong, Kang, Eun Ae, Shin, Hyunah, Ryu, Kyeongmin, Kim, Chungsoo, Chegal, Yebin, Jung, Hyojung, Lee, Suehyun, Park, Rae Woong, Kim, Kwangsoo, Hwangbo, Yul, Lee, Jae-Hyun, Park, Yu Rang

Volltext

Deep learning-enabled coronary CT angiography for plaque and stenosis quantification and cardiac risk prediction: an international multicentre study von Lin, Andrew, Manral, Nipun, McElhinney, Priscilla, Killekar, Aditya, Matsumoto, Hidenari, Kwiecinski, Jacek, Pieszko, Konrad, Razipour, Aryabod, Grodecki, Kajetan, Park, Caroline, Otaki, Yuka, Doris, Mhairi, Kwan, Alan C, Han, Donghee, Kuronuma, Keiichiro, Flores Tomasino, Guadalupe, Tzolos, Evangelos, Shanbhag, Aakash, Goeller, Markus, Marwan, Mohamed, Gransar, Heidi, Tamarappoo, Balaji K, Cadet, Sebastien, Achenbach, Stephan, Nicholls, Stephen J, Wong, Dennis T, Berman, Daniel S, Dweck, Marc, Newby, David E, Williams, Michelle C, Slomka, Piotr J, Dey, Damini

“… Atherosclerotic plaque quantification from coronary CT angiography (CCTA) enables accurate assessment of coronary artery disease burden and prognosis. We …”
Volltext

Perceptual Translucency in 3D Printing Using Surface Texture von Kazuki Nagasawa, Kamui Ono, Wataru Arai, Norimichi Tsumura

Volltext

MZmine 2: Modular framework for processing, visualizing, and analyzing mass spectrometry-based molecular profile data von Pluskal, Tomáš, Castillo, Sandra, Villar-Briones, Alejandro, Orešič, Matej

“… Background Mass spectrometry (MS) coupled with online separation methods is commonly applied for differential and quantitative profiling of biological samples …”
Volltext

RDD2020: An annotated image dataset for automatic road damage detection using deep learning von Arya, Deeksha, Maeda, Hiroya, Ghosh, Sanjay Kumar, Toshniwal, Durga, Sekimoto, Yoshihide

“… This data article provides details for the RDD2020 dataset comprising 26,336 road images from India, Japan, and the Czech Republic with more than 31,000 …”
Volltext

The Potential of ChatGPT as a Self-Diagnostic Tool in Common Orthopedic Diseases: Exploratory Study von Kuroiwa, Tomoyuki, Sarcon, Aida, Ibara, Takuya, Yamada, Eriku, Yamamoto, Akiko, Tsukamoto, Kazuya, Fujita, Koji

“… Artificial intelligence (AI) has gained tremendous popularity recently, especially the use of natural language processing (NLP). ChatGPT is a state-of-the-art …”
Volltext

Convolutional neural network based on SMILES representation of compounds for detecting chemical motif von Hirohara, Maya, Saito, Yutaka, Koda, Yuki, Sato, Kengo, Sakakibara, Yasubumi

“… Background Previous studies have suggested deep learning to be a highly effective approach for screening lead compounds for new drugs. Several deep learning …”
Volltext

A flexibly shaped spatial scan statistic for detecting clusters von Tango, Toshiro, Takahashi, Kunihiko

“… The spatial scan statistic proposed by Kulldorff has been applied to a wide variety of epidemiological studies for cluster detection. This scan statistic, …”
Volltext

Computer vision in surgery: from potential to clinical value von Mascagni, Pietro, Alapatt, Deepak, Sestini, Luca, Altieri, Maria S., Madani, Amin, Watanabe, Yusuke, Alseidi, Adnan, Redan, Jay A., Alfieri, Sergio, Costamagna, Guido, Boškoski, Ivo, Padoy, Nicolas, Hashimoto, Daniel A.

“… Hundreds of millions of operations are performed worldwide each year, and the rising uptake in minimally invasive surgery has enabled fiber optic cameras and …”
Volltext

Introducing difference recurrence relations for faster semi-global alignment of long sequences von Suzuki, Hajime, Kasahara, Masahiro

“… Background The read length of single-molecule DNA sequencers is reaching 1 Mb. Popular alignment software tools widely used for analyzing such long reads often …”
Volltext

Evaluating Identity Disclosure Risk in Fully Synthetic Health Data: Model Development and Validation von El Emam, Khaled, Mosquera, Lucy, Bass, Jason

“… There has been growing interest in data synthesis for enabling the sharing of data for secondary analysis; however, there is a need for a comprehensive privacy …”
Volltext

eHealth: Making Health Care Smarter

“… eHealth has revolutionized health care and the practice of medicine. Internet technologies have given the most rural communities access to healthcare services, …”
Volltext

Special Protein Molecules Computational Identification von Zou, Quan

“… It is time consuming and costly to detect new molecules of some special proteins. These special proteins include cytokines, enzymes, cell-penetrating peptides, …”
Volltext

Evaluating the effect of demographic factors, socioeconomic factors, and risk aversion on mobility during the COVID-19 epidemic in France under lockdown: a population-based study von Pullano, Giulia, Valdano, Eugenio, Scarpa, Nicola, Rubrichi, Stefania, Colizza, Vittoria

“… On March 17, 2020, French authorities implemented a nationwide lockdown to respond to the COVID-19 epidemic and curb the surge of patients requiring critical …”
Volltext

Tensor cardiography: A novel ECG analysis of deviations in collective myocardial action potential transitions based on point processes and cumulative distribution functions von Shingo Tsukada, Yu-ki Iwasaki, Yayoi Tetsuo Tsukada

Volltext