Dumitru Marius Danila

Dr. Dumitru Marius Danila


Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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25 April 2024 in Journal of Clinical Medicine
Verified
Journal Article
Open access
PDF file
VLValerii Lutenco
Valerii Lutenco
GȚGeorge Țocu
George Țocu
MGMădălin Guliciuc
Mădălin Guliciuc
MMMonica Moraru
Monica Moraru
ICIuliana Laura Candussi
Iuliana Laura Candussi
RMRaul Mihailov
Raul Mihailov
Background: Ideas about Artificial intelligence appeared about half a century ago, but only now is it becoming an essential element of everyday life. The data provided are becoming a bigger pool and we need artificial intelligence that will help us with its superhuman powers. Its interaction with medicine is improving more and more, with medicine being a domain that continues to be perfected. Materials and Methods: The most important databases were used to perform this detailed search that addresses artificial intelligence in the medical and surgical fields. Discussion: Machine learning, deep learning, neural networks and computer vision are some of the mechanisms that are becoming a trend in healthcare worldwide. Developed countries such as Japan, France and Germany have already implemented artificial intelligence in their medical systems. The help it gives is in medical diagnosis, patient monitoring, personalized therapy and workflow optimization. Artificial intelligence will help surgeons to perfect their skills, to standardize techniques and to choose the best surgical techniques. Conclusions: The goal is to predict complications, reduce diagnostic times, diagnose complex pathologies, guide surgeons intraoperatively and reduce medical errors. We are at the beginning of this, and the potential is enormous, but we must not forget the impediments that may appear and slow down its implementation.

11 March 2024 in Preprints.org
Verified
Preprint
Open access
PDF file
VLValerii Lutenco
Valerii Lutenco
GȚGeorge Țocu
George Țocu
MGMădălin Guliciuc
Mădălin Guliciuc
MMMonica Moraru
Monica Moraru
ICIuliana Laura Candussi
Iuliana Laura Candussi
RMRaul Mihailov
Raul Mihailov
Ideas about Artificial Intelligence appeared about half a century ago, but only now is it becoming an essential element of everyday life. The data provided is getting bigger and bigger and, in this case, we need artificial intelligence that helps us with superhuman powers. The interaction with medicine is getting closer and closer, medicine being a field that continues to be perfected. Machine learning, deep learning, neural networks, computer vision are some of the mechanisms that are already applied in medicine, becoming a trend in healthcare worldwide. Artificial intelligence will be the thing that will change contemporary medicine. Developed countries such as Japan, France, Germany have already implemented artificial intelligence in their medical systems. The help is in medical diagnosis, patient monitoring, personalized therapy, and workflow optimization. Artificial intelligence will help surgeons to perfect their skills, to standardize techniques, to choose the best surgical technique. The goal is to predict complications, reduce diagnostic time, diagnose complex pathologies, guide the surgeon intraoperatively and reduce medical errors. We are at the beginning but the potential is enormous.

29 July 2025 in BRAIN. BROAD RESEARCH IN ARTIFICIAL INTELLIGENCE AND NEUROSCIENCE
Verified
Journal Article
Open access
PDF file
EEEva-Maria Elkan
Eva-Maria Elkan
DDDumitru Marius Danila
Dumitru Marius Danila
OAOana – Cristina Alexandru
Oana – Cristina Alexandru
ZPZainea Pusica
Zainea Pusica
ACAna-Maria Cobzaru
Ana-Maria Cobzaru
ACAnamaria Ciubara
Anamaria Ciubara
Motherhood involves profound hormonal, physical, and psychological transformations, along with shifts in social status, daily routines, and sleep patterns, all of which can impact the mother-child relationship and increase maternal vulnerability. These challenges are particularly pronounced in adolescent mothers, who may experience heightened emotional distress, inadequate family support, or social rejection, complicating their breastfeeding journey. Despite targeted health education campaigns, adolescent pregnancies remain prevalent, underscoring the need for innovative interventions to support breastfeeding initiation and continuation among young mothers, for those experiencing postpartum depression and psychosis. This study aims to evaluate the effectiveness of online breastfeeding education as a supportive intervention for adolescent mothers facing perinatal mental health challenges. The research explores how digital resources, virtual counselling, and continuous telehealth support helps breastfeeding adherence, maternal self-efficacy, and emotional well-being. A comparative analysis of existing digital education models and traditional face-to-face breastfeeding support programs is conducted to assess the benefits, limitations, and potential scalability of virtual interventions. Findings indicate that online breastfeeding education significantly improves breastfeeding rates, reduces maternal anxiety, enhances mother-infant bonding, particularly in adolescent mothers with perinatal psychiatric disorders. Challenges such as digital literacy disparities, internet accessibility, and ethical considerations related to telehealth data privacy must be addressed to optimise the effectiveness of digital maternal education. This study bridges the gap between online breastfeeding education, maternal mental health, and digital healthcare accessibility. The findings support the integration of hybrid models that combine virtual breastfeeding education with periodic in-person consultations, offering a scalable and adaptable solution to improve perinatal outcomes for vulnerable maternal populations. Future research should focus on developing personalised digital interventions and assessing long-term breastfeeding success among adolescent mothers receiving online support.

6 April 2025 in BRAIN. BROAD RESEARCH IN ARTIFICIAL INTELLIGENCE AND NEUROSCIENCE
Verified
Journal Article
Open access
PDF file
EEEva-Maria Elkan
Eva-Maria Elkan
ACAna-Maria Cobzaru
Ana-Maria Cobzaru
SCStefanescu Cristina
Stefanescu Cristina
ABAriela-Elena Banu
Ariela-Elena Banu
NTNicoleta Andreea Tovîrnac
Nicoleta Andreea Tovîrnac
ACAnamaria Ciubara
Anamaria Ciubara
Virtual addiction is affecting a large number of children and their families nowadays. This phenomenon is associated with a notion that is closely related to self-esteem. This notion is called FoMo and represents the fear of being left out, of worthlessness and the idea that the life of others is better than one's own. At the same time, vulnerable people through these mechanisms find it difficult to find a way out of these situations on their own and often try to ask for help. The interdisciplinary approach of these two closely related and often interdependent phenomena allows the partial and sometimes total improvement of both habits together with the creation of new thinking patterns and new set of values that contribute to a better quality of life for children and their families, considering the hybridisation of online and offline life. At the same time, it is encouraged to use the Internet in a healthy way in order to reach a level of digital excellence (Kreutzer, 2022) achieved through digital sociology studies (Mackenzie, 2022) and to educate teenagers and parents about the impact of Fear of Missing Out (FoMo), associated with the integration of learning opportunities given by the philosophy of information (Moračίková, 2022). The association of frequent group activities in real life and increasing anchoring in reality through the development of social skills forms a strong preventive character.

17 March 2026 in Pediatric Reports
Verified
Journal Article
Open access
PDF file
DDDumitru Marius Danila
Dumitru Marius Danila
Cristina-Mihaela PopescuCristina-Mihaela Popescu
Cristina-Mihaela Popescu
IPIrina Profir
Irina Profir
Ada StefanescuAda Stefanescu
Ada Stefanescu
GGGabriela Gurău
Gabriela Gurău
Background: Pancreatic trauma (PT) in children is rare and associated with significant morbidity. The optimal form of management—operative versus non-operative—remains controversial, particularly in the presence of acute post-traumatic peripancreatic fluid collection, which may later evolve into pancreatic pseudocysts. Isolated pancreatic injuries without associated organ damage are uncommon and pose diagnostic and therapeutic challenges. Case Presentation: We report a 5-year-old boy who sustained an isolated grade IB blunt pancreatic head contusion following blunt abdominal trauma after falling onto a wooden fence. He presented with epigastric pain, repeated emesis, and an abdominal wall bruise. Initial ultrasound (US) findings were subtle; however, serial imaging and contrast-enhanced computed tomography (CECT) revealed focal contusion of the pancreatic head/uncinate process with a small peripancreatic fluid collection. Pancreatic enzymes were markedly elevated, with peak serum lipase reaching approximately 6579 U/L. The child remained hemodynamically stable and was managed conservatively with bowel rest, intravenous fluids, octreotide, proton-pump inhibition, pancreatic enzyme replacement therapy (PERT), and antibiotics. Serial US demonstrated the dynamic evolution of an acute peripancreatic fluid collection (APFC) (~2 cm), which remained stable without complications. Clinical and biochemical parameters gradually improved, and no invasive intervention was required. The patient was discharged on hospital day 16 with planned outpatient imaging follow-up. Conclusions: This case demonstrates that isolated pediatric pancreatic contusions complicated by small, evolving peripancreatic fluid collections can be safely managed non-operatively in hemodynamically stable patients. Serial ultrasound plays a key role in monitoring lesion evolution and guiding management decisions. In accordance with current pediatric trauma guidelines, careful observation with structured follow-up may prevent unnecessary invasive interventions while achieving excellent clinical outcomes.